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2020 National Conference on Communications (NCC)最新文献

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Application of kohonen-self organizing map to cluster drug induced Ca2+ response in hippocampal neurons at different drug dose 科霍宁自组织图谱在不同剂量海马神经元药物诱导的Ca2+反应中的应用
Pub Date : 2020-02-01 DOI: 10.1109/NCC48643.2020.9056031
A. Saxena, Vaibhav Dhyani, S. Jana, L. Giri
Recent advancement in neuronal imaging leads to accurate measurement of cellular activity after treatment with drugs. However, neuronal activity obtained by dynamic imaging reveals complex pattern with time, the prediction of activity level corresponding to drug level remains challenging. In this context, we apply self organizing map (SOM) to estimate the drug dose according to neuronal activity level in four different time windows. Here we cluster the neuronal activity pattern and classify the activity pattern with drug dose. We also implement supervised SOM to predict the drug dose corresponding to activity pattern. The advantage of using SOM is that it is a great visualization and prediction tool to analyze high-dimensional data onto a low-dimensional (1D or 2D) SOM grid. Such computaional tool can be used to classify unknown neuronal responses according to the extent of drug level present in the system.
最近在神经元成像方面的进展导致了药物治疗后细胞活动的精确测量。然而,动态成像获得的神经元活动随着时间的变化呈现出复杂的模式,预测与药物水平相对应的活动水平仍然具有挑战性。在这种情况下,我们应用自组织图(SOM)根据四个不同时间窗的神经元活动水平估计药物剂量。这里我们对神经元的活动模式进行聚类,并根据药物剂量对活动模式进行分类。我们还采用监督SOM来预测与活性模式相对应的药物剂量。使用SOM的优点是,它是一个很好的可视化和预测工具,可以将高维数据分析到低维(1D或2D) SOM网格上。这种计算工具可以根据系统中存在的药物水平的程度对未知的神经元反应进行分类。
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引用次数: 2
IITG- Indigo Submissions for NIST 2018 Speaker Recognition Evaluation and Post-Challenge Improvements IITG- Indigo提交给NIST 2018年说话人识别评估和挑战后改进
Pub Date : 2020-02-01 DOI: 10.1109/NCC48643.2020.9056055
K. Singh, Nagendra Kumar, R. Sinha, Shreyas Ramoji, Sriram Ganapathy
This paper describes the submissions of team Indigo at Indian Institute of Technology Guwahati (IITG) to the NIST 2018 Speaker Recognition Evaluation (SRE18) challenge. These speaker verification (SV) systems are developed for the fixed training condition task in SRE18. The evaluation data in SRE18 is derived from two corpora: (i) Call My Net 2 (CMN2), and (ii) Video Annotation for Speech Technology (VAST). The VAST set is obtained by extracting audio from video having high musical/noisy background. Thus, it helps in assessing the robustness of the SV systems. A number of sub-systems are developed which differ in front-end modeling paradigms, backend classifiers, and suppression of repeating pattern in the data. The fusion of sub-systems is submitted as the primary system which achieved actual detection cost function (actDCF) and equal error rate (EER) of 0.77 and 13.79 %, respectively, on the SRE18 evaluation data. Post-challenge efforts include the domain adaptation of the scores and the voice activity detection using deep neural network. With these enhancements, for the VAST trials, the best single sub-system achieves the relative reductions of 38.4% and 11.6% in actDCF and EER, respectively.
本文描述了印度理工学院古瓦哈蒂(IITG) Indigo团队向NIST 2018年说话人识别评估(SRE18)挑战提交的内容。这些说话人验证(SV)系统是针对SRE18中固定训练条件任务开发的。SRE18中的评价数据来源于两个语料库:(i) Call My Net 2 (CMN2)和(ii) Video Annotation for Speech Technology (VAST)。VAST集合是通过从具有高音乐/噪声背景的视频中提取音频而获得的。因此,它有助于评估SV系统的鲁棒性。开发了许多子系统,这些子系统在前端建模范式、后端分类器和数据中重复模式的抑制方面有所不同。在SRE18评价数据上实现了实际检测成本函数(actDCF)和等错误率(EER)分别为0.77和13.79%,提出了子系统融合作为主要系统。挑战后的工作包括分数的域适应和使用深度神经网络的语音活动检测。通过这些增强,对于VAST试验,最佳单一子系统在actDCF和EER方面分别实现了38.4%和11.6%的相对降低。
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引用次数: 0
On Visible Light Communication Using Soft Cancellation Decoder for Polar Codes 用软对消译码器实现极地码可见光通信
Pub Date : 2020-02-01 DOI: 10.1109/NCC48643.2020.9056020
N. Jain, Adrish Banerjee
Visible light communication (VLC) uses run-length limited (RLL) code to avoid flickering and support different dimming ranges. In this paper, we design an error control coding scheme for VLC using polar code as a forward error correction (FEC) code in serial concatenation with an RLL code. We propose to use soft iterative decoding between RLL code and polar code. Extrinsic information transfer (EXIT) chart is also used to illustrate the proposed serial concatenated scheme's iterative decoding behavior. We will show improvement in bit error rate (BER) performance as compared to the hard decoding based polar code proposed in the literature for VLC.
可见光通信(VLC)使用限长码(RLL)来避免闪烁并支持不同的调光范围。在本文中,我们设计了一种VLC的错误控制编码方案,使用极性码作为前向纠错(FEC)码与RLL码串行连接。我们建议在RLL码和极码之间使用软迭代译码。外部信息传输(EXIT)图也被用来说明所提出的串行连接方案的迭代解码行为。与文献中提出的基于硬解码的极性编码相比,我们将展示误码率(BER)性能的改进。
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引用次数: 2
Non-uniform Amplitude Codebooks for MU-MIMO in Millimeter Wave Systems 毫米波系统中MU-MIMO的非均匀振幅码本
Pub Date : 2020-02-01 DOI: 10.1109/NCC48643.2020.9056069
Silpa S. Nair, S. Bhashyam
Beamforming using Discrete Fourier Transform (DFT) based codebook is widely studied for millimeter wave (mmWave) communication systems. This design requires only phase-control for each antenna element and is therefore motivated by the possibility of lower complexity hardware. While this DFT-based design works well for single-user transmission, significant inter-beam interference is generated in multi-user multiple-input multiple-output (MU-MIMO) transmission. Recently, beamforming based on amplitude tapering has been demonstrated even for mmWave systems. The non-uniform amplitude in this design allows the possibility of significantly reducing inter-beam interference at the cost of slightly reducing the main lobe gain. Since the amplitude tapering is fixed and designed offline, the additional implementation complexity is not very high. In this paper, we show that Dolph-Chebyshev and Taylor codebook designs can provide significant improvement in performance over DFT-based codebooks in full-dimension MU-MIMO settings. For the MU-MIMO, we also propose a per-user power allocation algorithm for maximizing the sum rate under total power and rate constraints. The results show that the proposed algorithm gives high sum rates compared to equal power allocation among users. The simulations are carried out under the 3GPP full-dimension MIMO channel model.
基于离散傅立叶变换(DFT)码本的波束形成技术在毫米波通信系统中得到了广泛的研究。这种设计只需要对每个天线元件进行相位控制,因此受到硬件复杂性较低的可能性的推动。虽然这种基于dft的设计可以很好地用于单用户传输,但在多用户多输入多输出(MU-MIMO)传输中会产生明显的波束间干扰。最近,基于幅度变细的波束形成甚至在毫米波系统中也得到了证明。这种设计中的非均匀振幅允许以略微降低主瓣增益为代价显著减少波束间干扰的可能性。由于变幅是固定的,并且是离线设计的,因此额外的实现复杂性不是很高。在本文中,我们证明了在全维MU-MIMO设置中,dolphi - chebyshev和Taylor码本设计可以比基于dft的码本提供显着的性能改进。对于MU-MIMO,我们还提出了一种在总功率和速率约束下最大化求和速率的每用户功率分配算法。结果表明,与用户之间的均等分配相比,该算法具有较高的和速率。仿真是在3GPP全维MIMO信道模型下进行的。
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引用次数: 1
Spectral Analysis of a Nonlinear WOLA-OFDM System with DPD 带DPD的非线性WOLA-OFDM系统的频谱分析
Pub Date : 2020-02-01 DOI: 10.1109/NCC48643.2020.9056066
Mohd Hamza Naim Shaikh, V. Bohara, A. Srivastava
Orthogonal frequency division multiplexing (OFDM) has been a universal choice for modulation scheme for most of the wireless standards such as long-term evolution (LTE). However, OFDM is prone to large out-of-band (OOB) emission due to slower decay of its side-lobes. Weighted overlap and add OFDM (WOLA-OFDM) have been proposed for mitigating the out-of-band (OOB) emission by improving faster sidelobe decay. However, the presence of nonlinear high power amplifier (HPA) worsens the OOB performance of OFDM, even though the windowing reduces the noise floor considerably. In this work, we have proposed an architecture based on digital predistorter (DPD) to reduce the impact of non-linearity in WOLA-OFDM in the presence of HPA. The results show that the stated benefits of WOLA-OFDM can only be attained through employing DPD in the nonlinear WOLA-OFDM systems.
正交频分复用(OFDM)已成为长期演进(LTE)等大多数无线标准调制方案的普遍选择。然而,OFDM由于其旁瓣的衰减较慢,容易产生大的带外(OOB)发射。提出了加权重叠和添加OFDM (WOLA-OFDM)的方法,通过改善更快的副瓣衰减来减轻带外(OOB)发射。然而,非线性高功率放大器(HPA)的存在使OFDM的OOB性能恶化,尽管加窗大大降低了本底噪声。在这项工作中,我们提出了一种基于数字预失真器(DPD)的架构,以减少存在HPA时WOLA-OFDM中非线性的影响。结果表明,只有在非线性的WOLA-OFDM系统中采用DPD才能获得WOLA-OFDM的优点。
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引用次数: 3
Design and Development of 6 dB Microstrip Directional Coupler at C-Band Using Defective Ground for Tracking Application 基于缺陷地的c波段6db微带定向耦合器的设计与开发
Pub Date : 2020-02-01 DOI: 10.1109/NCC48643.2020.9056081
N. Sood, Umesh Bahuguna, P. Sen
This paper describes the design and development of 6 dB microstrip directional coupler at C-band using Defective Ground Structure (DGS). The required defective ground effect has been implemented using floating ground structure along with stubs for optimization of coupling as well as return loss over 200 MHz of bandwidth. This coupler has been used for tracking application in monopulse scan converter with the provision of scanning in azimuth direction. The realized hardware achieves the minimum modulation depth of 75% for the desired frequency band.
本文介绍了一种基于缺陷接地结构(DGS)的c波段6db微带定向耦合器的设计与研制。采用浮动接地结构和存根实现了所需的缺陷接地效应,以优化耦合以及200 MHz带宽以上的回波损耗。该耦合器已在单脉冲扫描变换器中用于跟踪,并提供方位方向扫描。所实现的硬件实现了所需频带75%的最小调制深度。
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引用次数: 0
Outage Analysis of Adaptive Combining Scheme for Hybrid FSO/RF Communication FSO/RF混合通信自适应组合方案的中断分析
Pub Date : 2020-02-01 DOI: 10.1109/NCC48643.2020.9056009
Mokkapati Siddharth, Suyash Shah, R. Swaminathan
In this paper, we analyse the outage performance of an adaptive combining scheme for hybrid free space optics (FSO) / radio frequency (RF) system considering both terrestrial communication and uplink satellite communication (SATCOM) scenarios. Adaptive combining involves keeping the FSO link active all the time and activating the RF link based on the quality of the FSO link. The outage analysis has been carried out by modeling the atmospheric turbulence of FSO link using Gamma-Gamma distribution. Further, Nakagami-m and Ricean distributions are used for modeling the small-scale fading of RF link for terrestrial communication and SATCOM scenarios, respectively. The exact expression of outage probability for the adaptive-combining-based hybrid FSO/RF system has been derived. Further, a range for optimum switching threshold has been determined. Asymptotic analysis along with the calculation of diversity gain has also been carried out for both scenarios. The outage performance of adaptive combining scheme is compared with that of hard switching scheme and single-link FSO system.
本文在考虑地面通信和上行卫星通信的情况下,分析了一种自由空间光学/射频(RF)混合系统的自适应组合方案的中断性能。自适应组合包括使FSO链路始终处于激活状态,并根据FSO链路的质量激活射频链路。利用Gamma-Gamma分布对FSO链路的大气湍流进行了建模,并进行了中断分析。此外,Nakagami-m和Ricean分布分别用于模拟地面通信和SATCOM场景下RF链路的小尺度衰落。推导了基于自适应组合的FSO/RF混合系统中断概率的精确表达式。此外,还确定了最佳开关阈值的范围。对这两种情况进行了渐近分析和分集增益的计算。将自适应组合方案与硬交换方案和单链路FSO系统的中断性能进行了比较。
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引用次数: 7
Generalized Fractional Matched Filtering and its Applications 广义分数匹配滤波及其应用
Pub Date : 2020-02-01 DOI: 10.1109/NCC48643.2020.9055991
Peeyush Sahay, Ameya Anjarlekar, S. Jain, P. Radhakrishna, V. Gadre
Time domain matched filtering is a classic method used in radar and sonar applications to maximize signal to noise ratio (SNR) gain, estimate time delay, and improve range resolution. Fractional Fourier transform, and fractional Fourier domain matched filtering are used extensively to overcome the drawbacks of time domain matched filtering and are shown to have improved performance for a linear chirp. This paper presents a generalized fractional matched filtering (GFMF) for estimating higher order chirp parameters with known time delay. It is shown to provide SNR gain equivalent to time domain matched filtering. As an application of GFMF, a novel method to minimize SNR gain degradation due to the range-Doppler coupling effect of quadratic chirps is presented. For a higher order chirp with unknown time delay, another method using generalized fractional envelope correlator (GFEC) is proposed, which performs joint estimation of time delay and higher order chirp parameters using a double quadratic chirp.
时域匹配滤波是雷达和声纳应用中用于最大化信噪比(SNR)增益、估计时延和提高距离分辨率的经典方法。分数阶傅里叶变换和分数阶傅里叶域匹配滤波被广泛用于克服时域匹配滤波的缺点,并被证明对线性啁啾具有改善的性能。提出了一种用于估计已知时滞的高阶啁啾参数的广义分数匹配滤波(GFMF)方法。它的信噪比增益相当于时域匹配滤波。作为GFMF的一种应用,提出了一种新的方法来减小二次啁啾的距离-多普勒耦合效应造成的信噪比增益下降。针对具有未知时滞的高阶啁啾,提出了一种基于广义分数包络相关器(GFEC)的方法,该方法利用双二次啁啾对时间延迟和高阶啁啾参数进行联合估计。
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引用次数: 4
Design of a Modified Inscribed Square Fractal Antenna for Wideband Wireless Applications 一种用于宽带无线应用的改进型刻方形分形天线设计
Pub Date : 2020-02-01 DOI: 10.1109/NCC48643.2020.9056054
T. K. Das, Rupa Samyuktha Kotla, S. Behera
This paper investigates a modified inscribed square fractal antenna dedicated to wideband wireless applications. The proposed antenna consists of a fractal monopole radiator with a defected ground structure fabricated on a low-cost FR4 epoxy substrate. A prototype has been fabricated to verify the wide operating band of the proposed design (5 GHz-13.7 GHz). The simulated 2D radiation patterns exhibit omnidirectional characteristics throughout the wide operating band. The proposed design is having a dimension of 0.32λ × 0.21λ × 0.026λ(A represents the wavelength at the lowest cutoff frequency) and is found compact related to some recent designs. With the peak realized gain of 5.23 dBi, the proposed design can be suitable for ISM band, WLAN, X-band, and UWB applications.
本文研究了一种用于宽带无线应用的改进型内刻方形分形天线。所提出的天线由分形单极辐射体组成,该辐射体具有在低成本的FR4环氧基板上制造的缺陷接地结构。已经制作了一个原型来验证所提出设计的宽工作频带(5 GHz-13.7 GHz)。模拟的二维辐射图在整个宽工作频带内表现出全向特性。提出的设计尺寸为0.32λ × 0.21λ × 0.026λ(a表示最低截止频率的波长),并且与最近的一些设计紧密相关。该设计的峰值实现增益为5.23 dBi,适用于ISM频段、WLAN、x频段和UWB应用。
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引用次数: 0
Blind Channel Coding Identification of Convolutional encoder and Reed-Solomon encoder using Neural Networks 基于神经网络的卷积编码器和Reed-Solomon编码器盲信道编码识别
Pub Date : 2020-02-01 DOI: 10.1109/NCC48643.2020.9056082
Naveenta Gautam, Brejesh Lall
Forward error correcting (FEC) codes are used to improve the reliability of digital communication systems. They introduce redundancy in the signal which helps the receiver to correct errors without requesting for re transmission. FEC codes can be classified into two categories: Convolutional codes and linear block codes (LBCs). Reed-Solomon (RS) codes lie in the category of LBCs. For non-cooperative communication applications such as adaptive modulation and coding (AMC), military applications and cognitive radio, the channel encoder has to be identified blindly for decoding the received signal. In this study, we propose a scheme for blind identification of convolutional and RS codes. We have used the pattern recognition properties of a neural network (NN) to identify the encoder from a candidate set. NNs have not been used for this purpose, to the best of our knowledge. Performance of the proposed classifier has been evaluated for both the noiseless and the noisy case. To show the application of the proposed approach we present the performance results for the two most common use cases namely the terrestrial wireless and the satellite communication channels. Experimental results have shown that the proposed classifier can identify the encoder with high accuracy in low signal-to-noise ratio.
前向纠错码(FEC)用于提高数字通信系统的可靠性。它们在信号中引入冗余,帮助接收器纠正错误而不要求重新传输。FEC码可以分为两类:卷积码和线性分组码。里德-所罗门(RS)码属于lbc的范畴。对于自适应调制和编码(AMC)、军事应用和认知无线电等非合作通信应用,信道编码器必须进行盲识别以解码接收信号。在这项研究中,我们提出了一种卷积码和RS码的盲识别方案。我们利用神经网络(NN)的模式识别特性从候选集中识别编码器。据我们所知,神经网络还没有被用于这个目的。本文对该分类器在无噪声和有噪声情况下的性能进行了评估。为了展示所提出的方法的应用,我们给出了两个最常见的用例的性能结果,即地面无线和卫星通信信道。实验结果表明,该分类器能在低信噪比下对编码器进行高精度识别。
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引用次数: 4
期刊
2020 National Conference on Communications (NCC)
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