Pub Date : 2014-03-17DOI: 10.1109/ICECI.2014.6767380
Arnav Mendiratta, D. Jha
The methods to controlling the noise in a signal have attracted many researchers over past few years. One such approach is Adaptive Noise Cancellation which has been proposed to reduce steady state additive noise. This method uses two inputs - primary and reference. The primary input receives signal from the signal source which has been corrupted with a noise uncorrelated to the signal. The reference input receives noise signal uncorrelated with the signal but correlated in some way to the noise signal in primary input. The reference input is adaptively filtered to obtain a close estimate of primary input noise which is then subtracted from the corrupted signal at the primary input to produce an estimate of a clean uncorrupted signal, which is the Adaptive Noise Cancellation output. A desired signal corrupted by noise can be recovered by feeding back this output to Adaptive Filter and implementing Least Mean Square algorithm to minimize output power. The audio signal corrupted with noise is used as a primary input and a noise signal is used as reference input. Computer simulations are carried out using MATLAB and experimental results are presented that illustrate the usefulness of Adaptive Noise Cancelling Technique.
{"title":"Adaptive Noise Cancelling for audio signals using Least Mean Square algorithm","authors":"Arnav Mendiratta, D. Jha","doi":"10.1109/ICECI.2014.6767380","DOIUrl":"https://doi.org/10.1109/ICECI.2014.6767380","url":null,"abstract":"The methods to controlling the noise in a signal have attracted many researchers over past few years. One such approach is Adaptive Noise Cancellation which has been proposed to reduce steady state additive noise. This method uses two inputs - primary and reference. The primary input receives signal from the signal source which has been corrupted with a noise uncorrelated to the signal. The reference input receives noise signal uncorrelated with the signal but correlated in some way to the noise signal in primary input. The reference input is adaptively filtered to obtain a close estimate of primary input noise which is then subtracted from the corrupted signal at the primary input to produce an estimate of a clean uncorrupted signal, which is the Adaptive Noise Cancellation output. A desired signal corrupted by noise can be recovered by feeding back this output to Adaptive Filter and implementing Least Mean Square algorithm to minimize output power. The audio signal corrupted with noise is used as a primary input and a noise signal is used as reference input. Computer simulations are carried out using MATLAB and experimental results are presented that illustrate the usefulness of Adaptive Noise Cancelling Technique.","PeriodicalId":315219,"journal":{"name":"International Conference on Electronics, Communication and Instrumentation (ICECI)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117241657","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 : 2014-03-17DOI: 10.1109/ICECI.2014.6767374
Eisha Madhwal, R. Mahapatra
Femtocells (HeNB) are deployed within macrocell coverage area to increase performance of indoor user. In order to cover, all indoor users, HeNBs make a network, known as femtocell network. Since, HeNBs use same spectrum, they are causing interference on both MeNB users (MUE) and among HeNB users (HUE). The performance of the femtocell network depends on the SINR of HUEs of respective HeNBs, which eventually depends on the interference produced on it. In order to improve the performance, we need to minimize the interferences among themselves. In this paper, we first study the SINR performance of HUEs in the macrocell environment. We also analyze the outage probability in femtocell network. Finally, we consider the power consumption issue of femtocell network.
{"title":"Performance analysis of femtocell network in macrocell environment","authors":"Eisha Madhwal, R. Mahapatra","doi":"10.1109/ICECI.2014.6767374","DOIUrl":"https://doi.org/10.1109/ICECI.2014.6767374","url":null,"abstract":"Femtocells (HeNB) are deployed within macrocell coverage area to increase performance of indoor user. In order to cover, all indoor users, HeNBs make a network, known as femtocell network. Since, HeNBs use same spectrum, they are causing interference on both MeNB users (MUE) and among HeNB users (HUE). The performance of the femtocell network depends on the SINR of HUEs of respective HeNBs, which eventually depends on the interference produced on it. In order to improve the performance, we need to minimize the interferences among themselves. In this paper, we first study the SINR performance of HUEs in the macrocell environment. We also analyze the outage probability in femtocell network. Finally, we consider the power consumption issue of femtocell network.","PeriodicalId":315219,"journal":{"name":"International Conference on Electronics, Communication and Instrumentation (ICECI)","volume":"196 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121434293","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 : 2014-03-17DOI: 10.1109/ICECI.2014.6767379
Samik Marick, S. C. Bera
Inductance type displacement transducer is generally of two types LVDT type and simple self inductance type. Both these types may suffer from various defects such as non-linear operation near the end and shortening of linear range etc. In the present paper a modified differential inductance type linear displacement transducer has been developed. In this technique, the defects of the other inductive displacement transducers have been eliminated. The theory of operation of the proposed transducer has been described. The developed transducer has been functionally tested and experimental results are reported in the paper. A very good linear characteristic of the transducer with good repeatability has been observed.
{"title":"Study of a modified differential inductance type displacement transducer","authors":"Samik Marick, S. C. Bera","doi":"10.1109/ICECI.2014.6767379","DOIUrl":"https://doi.org/10.1109/ICECI.2014.6767379","url":null,"abstract":"Inductance type displacement transducer is generally of two types LVDT type and simple self inductance type. Both these types may suffer from various defects such as non-linear operation near the end and shortening of linear range etc. In the present paper a modified differential inductance type linear displacement transducer has been developed. In this technique, the defects of the other inductive displacement transducers have been eliminated. The theory of operation of the proposed transducer has been described. The developed transducer has been functionally tested and experimental results are reported in the paper. A very good linear characteristic of the transducer with good repeatability has been observed.","PeriodicalId":315219,"journal":{"name":"International Conference on Electronics, Communication and Instrumentation (ICECI)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122895995","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 : 1900-01-01DOI: 10.1109/ICECI.2014.6767384
Sudipta Bardhan, H. Rahaman
This paper presents a compact, semiconducting behavior zigzag model of carbon nanotube field effect transistor. The model is based on analytical approximations. We have done the performance analysis of the developed model and the comparisons of the performance parameter like surface potential, drain current, quantum capacitance, average velocity against chirality of zigzag CNTFET model using numerical calculations.
{"title":"Analysis of design-oriented compact model for zigzag semiconducting CNTFETs","authors":"Sudipta Bardhan, H. Rahaman","doi":"10.1109/ICECI.2014.6767384","DOIUrl":"https://doi.org/10.1109/ICECI.2014.6767384","url":null,"abstract":"This paper presents a compact, semiconducting behavior zigzag model of carbon nanotube field effect transistor. The model is based on analytical approximations. We have done the performance analysis of the developed model and the comparisons of the performance parameter like surface potential, drain current, quantum capacitance, average velocity against chirality of zigzag CNTFET model using numerical calculations.","PeriodicalId":315219,"journal":{"name":"International Conference on Electronics, Communication and Instrumentation (ICECI)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114560565","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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