2018 International Conference on Signal Processing and Communications (SPCOM)最新文献

Improved Noncoherent Receiver for Joint Range and Symbol Estimation 联合距离和符号估计的改进非相干接收机

2018 International Conference on Signal Processing and Communications (SPCOM) Pub Date : 2018-07-01 DOI: 10.1109/SPCOM.2018.8724389

S. Sharma, A. Bishnu, Anubha Gupta, V. Bhatia

{"title":"Improved Noncoherent Receiver for Joint Range and Symbol Estimation","authors":"S. Sharma, A. Bishnu, Anubha Gupta, V. Bhatia","doi":"10.1109/SPCOM.2018.8724389","DOIUrl":"https://doi.org/10.1109/SPCOM.2018.8724389","url":null,"abstract":"The noncoherent receiver (NCR) has, recently, gained importance due to its simple design and low-complexity for the internet of things and wireless communications. However, NCR's performance is sub-optimal as compared to a coherent receiver due to the presence of noise. In this paper, we propose an NCR for joint ranging and data symbol estimation for pulse-based communication such as ultra-wideband and terahertz band communication. The proposed NCRs (referred as pulse autocorrelation NCR (PA-NCR) and iterative PA-NCR (IPA-NCR)) utilize apriori information about the transmitted pulse and channel statistics for enhancing the system's signal-to-noise ratio. The proposed IPA-NCR's performance is improved using an iterative algorithm for a block-wise data symbol detection and ranging estimation, while considering the channel to be static during the block length. The PA-NCR and IPA-NCR are the best choice for fast varying (i.e. vehicular communication) and slow varying (i.e. indoor communication) channels respectively. Performance of the proposed NCR is analyzed over standard IEEE 802.15.4a channels and is also compared with some existing NCRs.","PeriodicalId":146502,"journal":{"name":"2018 International Conference on Signal Processing and Communications (SPCOM)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121239227","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}

引用次数: 1

Binary Compressive Sensing and Super-Resolution With Unknown Threshold 二值压缩感知与未知阈值超分辨率

2018 International Conference on Signal Processing and Communications (SPCOM) Pub Date : 2018-07-01 DOI: 10.1109/SPCOM.2018.8724489

Subhadip Mukherjee, A. Sekuboyina, C. Seelamantula

{"title":"Binary Compressive Sensing and Super-Resolution With Unknown Threshold","authors":"Subhadip Mukherjee, A. Sekuboyina, C. Seelamantula","doi":"10.1109/SPCOM.2018.8724489","DOIUrl":"https://doi.org/10.1109/SPCOM.2018.8724489","url":null,"abstract":"We consider the problem of binary compressive sensing (CS), where random linear projections of a sparse signal are encoded using threshold-crossing information. The threshold used by the binary encoder for acquisition is unknown to the decoder and is estimated jointly with the signal. We cast the problem of signal reconstruction and threshold estimation as one of learning a hyperplane that separates the sampling vectors corresponding to the +1 and −1 measurements, and develop a reconstruction algorithm that entails iterative minimization of reweighted $ell_{1}$-norm subject to a set of linear constraints that enforce measurement separability. The proposed algorithm leads to a reconstruction performance comparable with that obtained using a popular binary CS algorithm, namely binary iterative hard-thresholding, which assumes that the threshold is set to zero. We consider binary super-resolution as an application, where a signal consisting of point sources needs to be estimated from sign measurements of its blurred version. The proposed algorithm successfully recovers the locations and amplitudes of the point sources, even in the presence of significant blurring.","PeriodicalId":146502,"journal":{"name":"2018 International Conference on Signal Processing and Communications (SPCOM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125288278","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}

引用次数: 0

Enhancing Pitch Robustness of Speech Recognition System through Spectral Smoothing 利用谱平滑增强语音识别系统的基音鲁棒性

2018 International Conference on Signal Processing and Communications (SPCOM) Pub Date : 2018-07-01 DOI: 10.1109/SPCOM.2018.8724416

B. Sai, Ishwar Chandra Yadav, S. Shahnawazuddin, G. Pradhan

{"title":"Enhancing Pitch Robustness of Speech Recognition System through Spectral Smoothing","authors":"B. Sai, Ishwar Chandra Yadav, S. Shahnawazuddin, G. Pradhan","doi":"10.1109/SPCOM.2018.8724416","DOIUrl":"https://doi.org/10.1109/SPCOM.2018.8724416","url":null,"abstract":"In this paper, we present a novel approach for front-end speech parameterization that is more robust towards pitch variations than the most commonly used technique. Earlier works have shown that, insufficient smoothing of magnitude spectrum leads to pitch-induced distortions. This, in turn, results in poor performance of speech recognition system especially for high-pitched child speakers. To overcome this shortcoming, the short-time magnitude spectrum is first decomposed into several components using a modified version of empirical mode decomposition (EMD). Next, the lowest-order component is discarded and the spectrum is reconstructed using the rest of the higherorder modes for sufficiently smoothing the spectrum. The Mel-frequency cepstral coefficients (MFCC) are then extracted using the smoothed spectra. The signal domain analyses presented in this paper demonstrate that the ill-effects of pitch variations get significantly reduced by the inclusion of proposed spectral smoothing module. In order to statistically validate the same, an automatic speech recognition system is developed using speech data from adult speakers. To simulate large pitch differences, evaluations are performed on a test set which consists of speech data from child speakers. Inclusion of proposed spectral smoothing module leads to a relative improvement of 12% over the baseline system employing acoustic modeling based on deep neural network.","PeriodicalId":146502,"journal":{"name":"2018 International Conference on Signal Processing and Communications (SPCOM)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115247369","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}

引用次数: 3

Copper Coin loaded Miniaturized Slot Antenna 装有铜币的微型槽形天线

2018 International Conference on Signal Processing and Communications (SPCOM) Pub Date : 2018-07-01 DOI: 10.1109/SPCOM.2018.8724449

K. Parvez, S. M. Haque, Enamul Khan

引用次数: 1

Inference Algorithms for the Multiplicative Mixture Mallows Model 乘法混合软糖模型的推理算法

2018 International Conference on Signal Processing and Communications (SPCOM) Pub Date : 2018-07-01 DOI: 10.1109/SPCOM.2018.8724429

Ranjitha Prasad, V. Tan

引用次数: 0

Age-of-Information Aware Scheduling 信息时代感知调度

2018 International Conference on Signal Processing and Communications (SPCOM) Pub Date : 2018-07-01 DOI: 10.1109/SPCOM.2018.8724448

P. Jhunjhunwala, Sharayu Moharir

引用次数: 25

Preventing Collusion Attacks in Cooperative Spectrum Sensing 协同频谱感知中的合谋攻击防范

2018 International Conference on Signal Processing and Communications (SPCOM) Pub Date : 2018-07-01 DOI: 10.1109/SPCOM.2018.8724473

S. Shrivastava, Sunju John, A. Rajesh, P. Bora

引用次数: 3

Detection of Heart Sound using Logistic Function Amplitude Moderator and Teager-Kaiser Energy Operator 利用Logistic函数振幅调节和Teager-Kaiser能量算子检测心音

2018 International Conference on Signal Processing and Communications (SPCOM) Pub Date : 2018-07-01 DOI: 10.1109/SPCOM.2018.8724410

Alex Paul Kamson, L. N. Sharma, S. Dandapat

{"title":"Detection of Heart Sound using Logistic Function Amplitude Moderator and Teager-Kaiser Energy Operator","authors":"Alex Paul Kamson, L. N. Sharma, S. Dandapat","doi":"10.1109/SPCOM.2018.8724410","DOIUrl":"https://doi.org/10.1109/SPCOM.2018.8724410","url":null,"abstract":"In this paper, we have proposed a new morphological feature to improve the detection of S1 and S2 sounds from noisy or pathological phonocardiogram (PCG) signals. This feature is based on logistic function amplitude moderator (LFAM) and Teager-Kaiser energy operator (TKEO). The LFAM is used to enhance the intensity of weak heart sounds so that the intensities of envelope peaks are uniform. The LFAM is operated at two modes: low amplitude mode and high amplitude mode. The selection of the operational mode is decided based on probability density function (PDF) derived from intensity based histogram analysis. Then the homomorphic envelope of the resulting waveform is calculated. Finally, TKEO is applied to the envelope signal to track the instantaneous energy of signal oscillation. This feature will capture prominent peaks for heart sounds and nullify the effect of noises and murmurs that have more or less uniform envelope intensity distribution. PCG database from the University of Washington has been used for evaluation. The performance of the proposed method is tested using logistic regression-hidden semi-Markov model (LR-HSMM) classifier and obtain an average F1 score of $79.08pm 3.93$.","PeriodicalId":146502,"journal":{"name":"2018 International Conference on Signal Processing and Communications (SPCOM)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130091394","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}

引用次数: 2

Reference Signals based Time and Frequency Tracking in NB-IoT 基于参考信号的NB-IoT时间和频率跟踪

2018 International Conference on Signal Processing and Communications (SPCOM) Pub Date : 2018-07-01 DOI: 10.1109/SPCOM.2018.8724398

Sriharsha, K. Kuchi

{"title":"Reference Signals based Time and Frequency Tracking in NB-IoT","authors":"Sriharsha, K. Kuchi","doi":"10.1109/SPCOM.2018.8724398","DOIUrl":"https://doi.org/10.1109/SPCOM.2018.8724398","url":null,"abstract":"Narrowband Internet of Things (NB-IoT) is the technology developed by 3GPP to bring the connectivity among IoT devices. The main aim of this technology is to improve the coverage and support massive number of IoT devices with long battery life. Coverage is enhanced by data repetitions over an extended period of time. The battery life at the User Equipment (UE) is extended by incorporating long DRX cycles of 10.24 sec. Preserving timing and frequency synchronization under such long repetitions and DRX cycles poses a challenge for NB-IoT. In this paper we propose Narrowband Reference signals (NRS) based tracking of residual timing and frequency offsets. The proposed method assume that the initial synchronization has been carried out using NB Primary (NPSS) and Secondary synchronization (NSSS) signals. The results obtained from the initial synchronization serves as the coarse estimates for the proposed method. Inherent non rapid channel variations across NRS carrying subcarriers of successive OFDM symbols is exploited to estimate residual offsets. The extracted residual offsets from NRS signals of two antenna ports are combined to refine the estimates. The performance results of presented algorithm and its processing time to yield the estimates at −12 dB SNR obtained by computer simulations are presented.","PeriodicalId":146502,"journal":{"name":"2018 International Conference on Signal Processing and Communications (SPCOM)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130160982","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}

引用次数: 3

Decentralized Asynchronous Stochastic Gradient Descent: Convergence Rate Analysis 分散式异步随机梯度下降:收敛速度分析

2018 International Conference on Signal Processing and Communications (SPCOM) Pub Date : 2018-07-01 DOI: 10.1109/SPCOM.2018.8724408

A. S. Bedi, Hrusikesha Pradhan, K. Rajawat

引用次数: 0