Pub Date : 2016-05-20DOI: 10.1109/RTEICT.2016.7807772
Prakash K Kuravatti, T. Rukmini
Mutual coupling is a critical issue in antenna elements is placed in the form of array between the antenna elements. In the present work Jerusalem cross periodic structure is proposed as an effective solution for reducing mutual coupling in a micro strip array antenna with more than one element. This structures have been Applied between the patches have been Simulated and verified with practical results.
{"title":"Reduction of mutual coupling in antenna arrays using periodic structures","authors":"Prakash K Kuravatti, T. Rukmini","doi":"10.1109/RTEICT.2016.7807772","DOIUrl":"https://doi.org/10.1109/RTEICT.2016.7807772","url":null,"abstract":"Mutual coupling is a critical issue in antenna elements is placed in the form of array between the antenna elements. In the present work Jerusalem cross periodic structure is proposed as an effective solution for reducing mutual coupling in a micro strip array antenna with more than one element. This structures have been Applied between the patches have been Simulated and verified with practical results.","PeriodicalId":6527,"journal":{"name":"2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","volume":"1 1","pages":"14-16"},"PeriodicalIF":0.0,"publicationDate":"2016-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79803477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-20DOI: 10.1109/RTEICT.2016.7808131
Pratima Nirmal, A. Nandgaonka, Sanjay L. Nalbalwa
MIMO antenna has gained lot of attention for research today due to various advantages such as increase in capacity, low signal loss and less multipath fading. Although it has many benefits, the main challenge lies in the design of MIMO Antenna i.e to reduce the mutual coupling between the antenna element and to provide high isolation. To reduce the mutual coupling and for improving the isolation, various techniques are employed such as Defected Ground Structure such as slits, slot, spiral square structure, EBG structure, U shaped parasitic element, stubs, neutralization line, parasitic elements, etc. The mutual coupling of more than 20 dB is obtained by employing all these technique. The main focus of this paper is to present and compare the different technique to reduce the mutual coupling and increase the isolation for various frequency bands.
{"title":"A MIMO antenna: Study on reducing mutual coupling and improving isolation","authors":"Pratima Nirmal, A. Nandgaonka, Sanjay L. Nalbalwa","doi":"10.1109/RTEICT.2016.7808131","DOIUrl":"https://doi.org/10.1109/RTEICT.2016.7808131","url":null,"abstract":"MIMO antenna has gained lot of attention for research today due to various advantages such as increase in capacity, low signal loss and less multipath fading. Although it has many benefits, the main challenge lies in the design of MIMO Antenna i.e to reduce the mutual coupling between the antenna element and to provide high isolation. To reduce the mutual coupling and for improving the isolation, various techniques are employed such as Defected Ground Structure such as slits, slot, spiral square structure, EBG structure, U shaped parasitic element, stubs, neutralization line, parasitic elements, etc. The mutual coupling of more than 20 dB is obtained by employing all these technique. The main focus of this paper is to present and compare the different technique to reduce the mutual coupling and increase the isolation for various frequency bands.","PeriodicalId":6527,"journal":{"name":"2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","volume":"61 1","pages":"1736-1740"},"PeriodicalIF":0.0,"publicationDate":"2016-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75822814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-20DOI: 10.1109/RTEICT.2016.7807826
D. C. Shah, Nikita Dighe, Akshay Malhotra
The huge increase of high bandwidth demanding applications like interactive gaming, video streaming etc. over wireless channel and exponential growth of average mobile user population raise need of higher spectral density and cell capacity. The 4th Generation (4G) wireless network standardized as Long Term Evolution (LTE) utilizes advantages Orthogonal Frequency Division Multiple Access (OFDMA), where each cell of the network uses same frequency band, i.e Frequency Reuse equal to `1'. This leads to very high inter-cell interference (ICI) for the users at the edges of the cell and results in drastic decrease in cell capacity. To overcome ICI, Partial Frequency Reuse (PFR) method is used. Our paper presents intense mathematical calculations for optimization of cell capacity considering higher number of users near cell center. The cell partitioning radius is the variable parameter considered for mathematical integration operation for optimization problem. Assuming initial stationary position of a user nearby base station we use optimization for percentage of bandwidth reassigned to the cell-center region from partial frequency reuse region. As presented in this paper the variable user position from the base station is considered later to evaluate the optimization problem completely for demonstration of tradeoff between cell capacity and cell partitioning radius. We have simulated the rigorous mathematical expressions using Matlab scripting.
{"title":"Mathematical analysis for maximization of cell capacity using partial frequency reuse in LTE network","authors":"D. C. Shah, Nikita Dighe, Akshay Malhotra","doi":"10.1109/RTEICT.2016.7807826","DOIUrl":"https://doi.org/10.1109/RTEICT.2016.7807826","url":null,"abstract":"The huge increase of high bandwidth demanding applications like interactive gaming, video streaming etc. over wireless channel and exponential growth of average mobile user population raise need of higher spectral density and cell capacity. The 4th Generation (4G) wireless network standardized as Long Term Evolution (LTE) utilizes advantages Orthogonal Frequency Division Multiple Access (OFDMA), where each cell of the network uses same frequency band, i.e Frequency Reuse equal to `1'. This leads to very high inter-cell interference (ICI) for the users at the edges of the cell and results in drastic decrease in cell capacity. To overcome ICI, Partial Frequency Reuse (PFR) method is used. Our paper presents intense mathematical calculations for optimization of cell capacity considering higher number of users near cell center. The cell partitioning radius is the variable parameter considered for mathematical integration operation for optimization problem. Assuming initial stationary position of a user nearby base station we use optimization for percentage of bandwidth reassigned to the cell-center region from partial frequency reuse region. As presented in this paper the variable user position from the base station is considered later to evaluate the optimization problem completely for demonstration of tradeoff between cell capacity and cell partitioning radius. We have simulated the rigorous mathematical expressions using Matlab scripting.","PeriodicalId":6527,"journal":{"name":"2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","volume":"9 1","pages":"272-277"},"PeriodicalIF":0.0,"publicationDate":"2016-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89845811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-20DOI: 10.1109/RTEICT.2016.7808123
Venkatesh Kulkarni, Manju Nanda
Safety critical systems are being developed to improve the performance and cost effectiveness. The safety critical system are used in various domain such as aerospace domain, military, defense etc. In an aerospace domain there are many parameters affects the system environmental conditions, or hazards which cause many faults in the system which leads to failure. It is necessary to know before the system fails, so that necessary remedies can take to prevent the failure. The tool/software is needed to monitor the health management of safety critical systems. In this paper a prognostic technique is being used to mitigate the system failure. There are many techniques for the prognosis such as data driven technique, model based technique, and hybrid technique. This paper proposes implementation of the artificial neural network [ANN] based prognosis illustrates the use of data driven technique. The novelty of the proposed algorithm is that it uses formal techniques to develop a robust & reliable prognostics algorithm. The approach developed will be demonstrated for gyro sensor a critical component in the aerospace domain. The ANN can train and classify real data from the gyro sensors, and it is implemented using high level interpreted language GNU-Octave. The cost function/error function is calculated for the trained ANN data and it is being observed that the values are converging to the minimum value. At last the system is classified as healthy, partially healthy, and unhealthy state of the system.
{"title":"Data driven prognosis approach for safety critical systems","authors":"Venkatesh Kulkarni, Manju Nanda","doi":"10.1109/RTEICT.2016.7808123","DOIUrl":"https://doi.org/10.1109/RTEICT.2016.7808123","url":null,"abstract":"Safety critical systems are being developed to improve the performance and cost effectiveness. The safety critical system are used in various domain such as aerospace domain, military, defense etc. In an aerospace domain there are many parameters affects the system environmental conditions, or hazards which cause many faults in the system which leads to failure. It is necessary to know before the system fails, so that necessary remedies can take to prevent the failure. The tool/software is needed to monitor the health management of safety critical systems. In this paper a prognostic technique is being used to mitigate the system failure. There are many techniques for the prognosis such as data driven technique, model based technique, and hybrid technique. This paper proposes implementation of the artificial neural network [ANN] based prognosis illustrates the use of data driven technique. The novelty of the proposed algorithm is that it uses formal techniques to develop a robust & reliable prognostics algorithm. The approach developed will be demonstrated for gyro sensor a critical component in the aerospace domain. The ANN can train and classify real data from the gyro sensors, and it is implemented using high level interpreted language GNU-Octave. The cost function/error function is calculated for the trained ANN data and it is being observed that the values are converging to the minimum value. At last the system is classified as healthy, partially healthy, and unhealthy state of the system.","PeriodicalId":6527,"journal":{"name":"2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","volume":"33 1","pages":"1699-1703"},"PeriodicalIF":0.0,"publicationDate":"2016-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89180512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-20DOI: 10.1109/RTEICT.2016.7808078
J. Kumar, Shanmukha, Murali, Jayanth Kumar, R. Bhakthavatchalu
The rudimentary cells of the central nervous system are the neurons which are connected to each other. An ordinary neuron consists of three different parts Dendrites, Soma and Axon. Each part is having its role in transferring the information. The connection between the neurons can be either Dendrite-Axon or Dendrite-Dendrite or Axon-Axon. Dendrites have the pivotal role in collecting the signals from other neurons and transmitting them to soma which implies that the dendrites act as an input device to the neuron. Soma performs a Non-linear operation, i.e. if input exceeds a certain threshold, an output signal is generated. The Axon performs the role of an output device which takes the processed signal from soma and transmitting it to the other neurons. This is the basic function of a biological neuron. A biological neuron model which is also known as Spiking Neuron Model is a mathematical description of properties of neuron that is to be designed accurately to describe and predict the biological processes. So there comes the concept of modelling and analysis of neurons. Modelling and analysis of neurons was performed by different researchers on First, Second and Third generation of neurons. The Third generation of neurons are also called as spiking neurons. The objective of this work is to implement different types of spiking neuron models developed by Hodgkin and Huxley which is a biological model. The spiking neuron model simulations are done in MATLAB and they are modelled using digital logic circuits in Verilog Hardware Description Language (HDL) and simulated in ModelSIM RTL simulator. These models are then implemented in Xilinx FPGA and checked for the functionality.
{"title":"Design and implementation of Hodgkin and Huxley spiking neuron model on FPGA","authors":"J. Kumar, Shanmukha, Murali, Jayanth Kumar, R. Bhakthavatchalu","doi":"10.1109/RTEICT.2016.7808078","DOIUrl":"https://doi.org/10.1109/RTEICT.2016.7808078","url":null,"abstract":"The rudimentary cells of the central nervous system are the neurons which are connected to each other. An ordinary neuron consists of three different parts Dendrites, Soma and Axon. Each part is having its role in transferring the information. The connection between the neurons can be either Dendrite-Axon or Dendrite-Dendrite or Axon-Axon. Dendrites have the pivotal role in collecting the signals from other neurons and transmitting them to soma which implies that the dendrites act as an input device to the neuron. Soma performs a Non-linear operation, i.e. if input exceeds a certain threshold, an output signal is generated. The Axon performs the role of an output device which takes the processed signal from soma and transmitting it to the other neurons. This is the basic function of a biological neuron. A biological neuron model which is also known as Spiking Neuron Model is a mathematical description of properties of neuron that is to be designed accurately to describe and predict the biological processes. So there comes the concept of modelling and analysis of neurons. Modelling and analysis of neurons was performed by different researchers on First, Second and Third generation of neurons. The Third generation of neurons are also called as spiking neurons. The objective of this work is to implement different types of spiking neuron models developed by Hodgkin and Huxley which is a biological model. The spiking neuron model simulations are done in MATLAB and they are modelled using digital logic circuits in Verilog Hardware Description Language (HDL) and simulated in ModelSIM RTL simulator. These models are then implemented in Xilinx FPGA and checked for the functionality.","PeriodicalId":6527,"journal":{"name":"2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","volume":"87 1","pages":"1483-1487"},"PeriodicalIF":0.0,"publicationDate":"2016-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81103246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-20DOI: 10.1109/RTEICT.2016.7807990
S. Sahitya, H. Lokesha, L. K. Sudha
An image contains large amount of digital data and it is necessary to reduce digital data volume for transmission and preservation by using image compression. This paper mainly concentrates on image compression using Raspberry Pi processor which helps to preserve large number of images and in retaining its quality. Raspberry Pi processor allows the implementation of most widely used 2-D Discrete Cosine Transform (DCT) compression method to give the Joint Photographic Experts Group (JPEG) format using Open CV platform. JPEG compression algorithm is used to compress the full-color still images which give good human visual perception (HVP) after the compression. Experimental results give the high quality compressed images and it is compared with different quality factors. Implementation of image compression on Raspberry Pi has its real time application of Micro Air Vehicles (MAVs). The proposed method helps MAVs to store large number of images captured by it.
{"title":"Real time application of Raspberry Pi in compression of images","authors":"S. Sahitya, H. Lokesha, L. K. Sudha","doi":"10.1109/RTEICT.2016.7807990","DOIUrl":"https://doi.org/10.1109/RTEICT.2016.7807990","url":null,"abstract":"An image contains large amount of digital data and it is necessary to reduce digital data volume for transmission and preservation by using image compression. This paper mainly concentrates on image compression using Raspberry Pi processor which helps to preserve large number of images and in retaining its quality. Raspberry Pi processor allows the implementation of most widely used 2-D Discrete Cosine Transform (DCT) compression method to give the Joint Photographic Experts Group (JPEG) format using Open CV platform. JPEG compression algorithm is used to compress the full-color still images which give good human visual perception (HVP) after the compression. Experimental results give the high quality compressed images and it is compared with different quality factors. Implementation of image compression on Raspberry Pi has its real time application of Micro Air Vehicles (MAVs). The proposed method helps MAVs to store large number of images captured by it.","PeriodicalId":6527,"journal":{"name":"2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","volume":"8 1","pages":"1047-1050"},"PeriodicalIF":0.0,"publicationDate":"2016-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87773538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-20DOI: 10.1109/RTEICT.2016.7807774
Shikha Pandey, H. Sharma, Arpana Rawal
In Academia, plagiarism is considered as an academic dishonesty (crime) or violation of copyright law. Like any other crime, this academic offense should also be payable by a specific penalty. For this purpose, A self-made questionnaires have been designed and data have been collected through an online survey between 11th Sep 2015 and 24th September 2015 via the Google forms. The objective of this study is to find out the awareness statistics on plagiarism among the research scholars of Chhattisgarh Swami Vivekanand Technical University, Bhilai, Chhattisgarh, INDIA. The Survey form was mailed to approx 200 students on their E-mail addresses and 147 responses received back and then data was tabulated, analyzed, interpreted and presented according to their highest qualification. In this survey 43 graduates, 69 postgraduates, 27 doctored and 8 others scholars were participated.
在学术界，抄袭被认为是一种学术欺诈(犯罪)或违反版权法。像任何其他犯罪一样，这种学术犯罪也应该受到特定的惩罚。为此，在2015年9月11日至2015年9月24日期间，我们设计了一份自制问卷，并通过谷歌表格进行了在线调查，收集了数据。本研究的目的是找出Chhattisgarh Swami Vivekanand Technical University, Chhattisgarh, Bhilai, INDIA, Chhattisgarh的研究学者对抄袭的认知统计。调查表格通过电子邮件发送给了大约200名学生，收到了147份回复，然后根据他们的最高资格将数据制表，分析，解释和呈现。本次调查共涉及研究生43人，研究生69人，博士27人，其他学者8人。
{"title":"A review paper on awareness statistics on plagiarism among research scholars","authors":"Shikha Pandey, H. Sharma, Arpana Rawal","doi":"10.1109/RTEICT.2016.7807774","DOIUrl":"https://doi.org/10.1109/RTEICT.2016.7807774","url":null,"abstract":"In Academia, plagiarism is considered as an academic dishonesty (crime) or violation of copyright law. Like any other crime, this academic offense should also be payable by a specific penalty. For this purpose, A self-made questionnaires have been designed and data have been collected through an online survey between 11th Sep 2015 and 24th September 2015 via the Google forms. The objective of this study is to find out the awareness statistics on plagiarism among the research scholars of Chhattisgarh Swami Vivekanand Technical University, Bhilai, Chhattisgarh, INDIA. The Survey form was mailed to approx 200 students on their E-mail addresses and 147 responses received back and then data was tabulated, analyzed, interpreted and presented according to their highest qualification. In this survey 43 graduates, 69 postgraduates, 27 doctored and 8 others scholars were participated.","PeriodicalId":6527,"journal":{"name":"2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","volume":"78 1","pages":"24-26"},"PeriodicalIF":0.0,"publicationDate":"2016-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82851801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-20DOI: 10.1109/RTEICT.2016.7807781
Bharati Sharma, R. Suji
Electrocardiogram (ECG) is needed for health issues related to heart disease. But sometimes due to mismatches in electrodes signal becomes noisy hence, removal of these interference like noise artifacts, baseline wandering and power line interference different filter approaches has been proposed. Various filter approaches are available for removal of noise artifacts from Electrocardiogram (ECG) signal. Filtering methods like Wiener filter and Adaptive Least Mean Square (LMS) algorithm are utilized for denoising noise interference from Electrocardiogram (ECG) signal. The main goal is to implement different filters and to compare based on performance parameters of the respective filter like Signal to Noise Ratio (SNR) and power spectral density (PSD). Testing was implemented on artificially noisy Electrocardiogram (ECG) signal which has taken from standard Physio.net database sampled at 50 Hz. For better utilization testing results are compared in term of their performance parameter such as SNR and PSD.
{"title":"ECG denoising using weiner filter and adaptive least mean square algorithm","authors":"Bharati Sharma, R. Suji","doi":"10.1109/RTEICT.2016.7807781","DOIUrl":"https://doi.org/10.1109/RTEICT.2016.7807781","url":null,"abstract":"Electrocardiogram (ECG) is needed for health issues related to heart disease. But sometimes due to mismatches in electrodes signal becomes noisy hence, removal of these interference like noise artifacts, baseline wandering and power line interference different filter approaches has been proposed. Various filter approaches are available for removal of noise artifacts from Electrocardiogram (ECG) signal. Filtering methods like Wiener filter and Adaptive Least Mean Square (LMS) algorithm are utilized for denoising noise interference from Electrocardiogram (ECG) signal. The main goal is to implement different filters and to compare based on performance parameters of the respective filter like Signal to Noise Ratio (SNR) and power spectral density (PSD). Testing was implemented on artificially noisy Electrocardiogram (ECG) signal which has taken from standard Physio.net database sampled at 50 Hz. For better utilization testing results are compared in term of their performance parameter such as SNR and PSD.","PeriodicalId":6527,"journal":{"name":"2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","volume":"51 1","pages":"53-57"},"PeriodicalIF":0.0,"publicationDate":"2016-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80991717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-20DOI: 10.1109/RTEICT.2016.7807850
P. Sendamarai, M. N. Giriprasad
Satellite imaging is a powerful approach for the researchers to study about the space information, geo-science and space information exploration. But during transmission satellite images gets corrupted due to the channel noise, wrong ISO settings etc. Satellite images contains huge amount of data which increases the size of image, due to huge size it requires more time for transmission. In this work we overcome these issues by introducing combined scheme for denoising and compression. To perform the denoising we use bilateral filtering scheme and compression-decompression is carried out using lifting based DWT. This architecture is implemented and simulated using XILINX ISE 14.3 simulator. Reduction of the complexity is introduced by using shift-add logic scheme. The proposed architecture operates at a frequency of 163.638MHz, when synthesized for Xilinx Spartan-III seriesfield programmable gate array.
卫星成像是研究空间信息、地球科学和空间信息探索的有力手段。但是在传输过程中，由于信道噪声，错误的ISO设置等，卫星图像会被损坏。卫星图像包含了大量的数据，这增加了图像的大小，由于巨大的尺寸需要更多的时间来传输。在这项工作中，我们通过引入去噪和压缩的组合方案来克服这些问题。为了实现降噪，我们使用双边滤波方案，并使用基于提升的小波变换进行压缩解压。该架构使用XILINX ISE 14.3模拟器实现和模拟。采用移加逻辑方案降低了算法的复杂度。当为Xilinx Spartan-III系列现场可编程门阵列合成时，所提出的架构工作频率为163.638MHz。
{"title":"FPGA implementation of combined compression & denoising scheme for remote sensing images","authors":"P. Sendamarai, M. N. Giriprasad","doi":"10.1109/RTEICT.2016.7807850","DOIUrl":"https://doi.org/10.1109/RTEICT.2016.7807850","url":null,"abstract":"Satellite imaging is a powerful approach for the researchers to study about the space information, geo-science and space information exploration. But during transmission satellite images gets corrupted due to the channel noise, wrong ISO settings etc. Satellite images contains huge amount of data which increases the size of image, due to huge size it requires more time for transmission. In this work we overcome these issues by introducing combined scheme for denoising and compression. To perform the denoising we use bilateral filtering scheme and compression-decompression is carried out using lifting based DWT. This architecture is implemented and simulated using XILINX ISE 14.3 simulator. Reduction of the complexity is introduced by using shift-add logic scheme. The proposed architecture operates at a frequency of 163.638MHz, when synthesized for Xilinx Spartan-III seriesfield programmable gate array.","PeriodicalId":6527,"journal":{"name":"2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","volume":"121 1","pages":"401-404"},"PeriodicalIF":0.0,"publicationDate":"2016-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80796837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-05-20DOI: 10.1109/RTEICT.2016.7807820
M. Rajesh, B. Shrisha, N. Rao, H. Kumaraswamy
In this paper, a comparative analysis of BER performance of various higher order digital modulation techniques for channel utilization is proposed and the analysis are carried out with SNR as the reference parameter. This performance analysis yields to adaptive modulation technique which can be used to attain high spectral efficiency by modulating the signal at higher order modulation schemes based on channel state information (CSI) from the receiver. Signal over AWGN channel is assumed for the analysis. To achieve lower BER values for a specific SNR, techniques to alter signal characteristics like pulse shaping filters, matching filters and convolution encoding are applied and analysis are carried out. An observation from the above analysis produces lower BER. For 256-QAM at SNR of 20, BER of 4.76×10-3 and grey coded BER of 3.83×10-4 is obtained. Highest possible modulation technique is selected with lower BER obtained. Thus, spectral efficiency which is the prime objective of the proposed paper is achieved. The above results are computed and simulated using MATLAB.
{"title":"An analysis of BER comparison of various digital modulation schemes used for adaptive modulation","authors":"M. Rajesh, B. Shrisha, N. Rao, H. Kumaraswamy","doi":"10.1109/RTEICT.2016.7807820","DOIUrl":"https://doi.org/10.1109/RTEICT.2016.7807820","url":null,"abstract":"In this paper, a comparative analysis of BER performance of various higher order digital modulation techniques for channel utilization is proposed and the analysis are carried out with SNR as the reference parameter. This performance analysis yields to adaptive modulation technique which can be used to attain high spectral efficiency by modulating the signal at higher order modulation schemes based on channel state information (CSI) from the receiver. Signal over AWGN channel is assumed for the analysis. To achieve lower BER values for a specific SNR, techniques to alter signal characteristics like pulse shaping filters, matching filters and convolution encoding are applied and analysis are carried out. An observation from the above analysis produces lower BER. For 256-QAM at SNR of 20, BER of 4.76×10-3 and grey coded BER of 3.83×10-4 is obtained. Highest possible modulation technique is selected with lower BER obtained. Thus, spectral efficiency which is the prime objective of the proposed paper is achieved. The above results are computed and simulated using MATLAB.","PeriodicalId":6527,"journal":{"name":"2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","volume":"7 1","pages":"241-245"},"PeriodicalIF":0.0,"publicationDate":"2016-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79358899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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