2011 International Conference on Communications and Signal Processing最新文献

Exploration of a distributed approach for simulating spectrum sensing in cognitive radio 认知无线电中模拟频谱感知的分布式方法探索

2011 International Conference on Communications and Signal Processing Pub Date : 2011-03-24 DOI: 10.1109/ICCSP.2011.5739313

J. Jacob, A. Panicker, J. Mathew, A. P. Vinod

{"title":"Exploration of a distributed approach for simulating spectrum sensing in cognitive radio","authors":"J. Jacob, A. Panicker, J. Mathew, A. P. Vinod","doi":"10.1109/ICCSP.2011.5739313","DOIUrl":"https://doi.org/10.1109/ICCSP.2011.5739313","url":null,"abstract":"Motivated by the problem of multiple unlicensed cognitive radio users seek to access unused frequency channels licensed to the primary users in a wireless communication scenario, this paper presents a simulation environment that is able to simulate various effects of radio wave propagation and shadow fading in a software model. A cognitive radio designer's intent, knowledge about the critical issues and trade-offs underlying in a particular design are implicit in the simulations set up. However, this knowledge is tightly conjoined with specific features and a thorough simulation analysis is essential. Towards this, an algorithm was developed for performing this distributed sensing method between neighboring terminals in a network. VHF TV Broadcast FM Broadcast and GSM systems were investigated as possible candidates of primary users. It was found that a high degree of detection probability could be obtained for the TV and FM broadcast systems than for GSM systems under the same environmental parameters, largely due to the higher transmit powers involved in broadcast networks. The probability of false detection cannot be completely negated without risking an increase in the probability of non-detection of a present primary system. Hence a trade-off can be shown to exist between these two probabilities. It can be concluded that minimizing the possibility of interference to primary users should take priority in this scenario.","PeriodicalId":408736,"journal":{"name":"2011 International Conference on Communications and Signal Processing","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116642159","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: 6

Quadratic predictor based differential encoding and decoding of speech signals 基于二次预测器的语音信号差分编码与解码

2011 International Conference on Communications and Signal Processing Pub Date : 2011-03-24 DOI: 10.1109/ICCSP.2011.5739388

V. Hari, V. P. Jagathy Raj, R. Gopikakumari

{"title":"Quadratic predictor based differential encoding and decoding of speech signals","authors":"V. Hari, V. P. Jagathy Raj, R. Gopikakumari","doi":"10.1109/ICCSP.2011.5739388","DOIUrl":"https://doi.org/10.1109/ICCSP.2011.5739388","url":null,"abstract":"Modeling nonlinear systems using Volterra series is a century old method but practical realizations were hampered by inadequate hardware to handle the increased computational complexity stemming from its use. But interest is renewed recently, in designing and implementing filters which can model much of the polynomial nonlinearities inherent in practical systems. The key advantage in resorting to Volterra power series for this purpose is that nonlinear filters so designed can be made to work in parallel with the existing LTI systems, yielding improved performance. This paper describes the inclusion of a quadratic predictor (with nonlinearity order 2) with a linear predictor in an analog source coding system. Analog coding schemes generally ignore the source generation mechanisms but focuses on high fidelity reconstruction at the receiver. The widely used method of differential pulse code modulation (DPCM) for speech transmission uses a linear predictor to estimate the next possible value of the input speech signal. But this linear system do not account for the inherent nonlinearities in speech signals arising out of multiple reflections in the vocal tract. So a quadratic predictor is designed and implemented in parallel with the linear predictor to yield improved mean square error performance. The augmented speech coder is tested on speech signals transmitted over an additive white gaussian noise (AWGN) channel.","PeriodicalId":408736,"journal":{"name":"2011 International Conference on Communications and Signal Processing","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117109118","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

Image segmentation using kernel fuzzy c-means clustering on level set method on noisy images 基于水平集的核模糊c均值聚类方法对噪声图像进行分割

2011 International Conference on Communications and Signal Processing Pub Date : 2011-03-24 DOI: 10.1109/ICCSP.2011.5739377

G. R. Reddy, K. Ramudu, Syed Zaheeruddin, R. Rao

引用次数: 11

Analysis of adaptive modulation with antenna selection under channel prediction errors 信道预测误差下天线选择自适应调制分析

2011 International Conference on Communications and Signal Processing Pub Date : 2011-03-24 DOI: 10.1109/ICCSP.2011.5739372

S. Prakash, I. Mcloughlin

引用次数: 4

Note identification in Carnatic Music from Frequency Spectrum 卡纳蒂克音乐频谱中的音符识别

2011 International Conference on Communications and Signal Processing Pub Date : 2011-03-24 DOI: 10.1109/ICCSP.2011.5739406

T. Prashanth, Radhika Venugopalan

引用次数: 14

Return loss validation of a novel cantor based antenna using FIT and FDTD 基于FIT和FDTD的新型康托天线回波损耗验证

2011 International Conference on Communications and Signal Processing Pub Date : 2011-03-24 DOI: 10.1109/ICCSP.2011.5739341

Vivek Dhoot, Sanjeev Gupta

引用次数: 4

Extraction of respiratory activity from PPG and BP signals using Principal Component Analysis 利用主成分分析法提取PPG和BP信号中的呼吸活动

2011 International Conference on Communications and Signal Processing Pub Date : 2011-03-24 DOI: 10.1109/ICCSP.2011.5739359

K. V. Madhav, M. R. Ram, E. Krishna, K. Nagarjuna Reddy, K. Reddy

{"title":"Extraction of respiratory activity from PPG and BP signals using Principal Component Analysis","authors":"K. V. Madhav, M. R. Ram, E. Krishna, K. Nagarjuna Reddy, K. Reddy","doi":"10.1109/ICCSP.2011.5739359","DOIUrl":"https://doi.org/10.1109/ICCSP.2011.5739359","url":null,"abstract":"In high risk situations such as cardiac arrhythmias, ambulatory monitoring, stress tests, sleep disorder investigations and post-operative hypoxemia situations, monitoring of respiratory activity would be mandatory. Electrocardiogram (ECG), blood pressure (BP) and photoplethysmographic (PPG) signals can be used for extraction of respiratory activity, and will eventually eliminate the use of additional respiratory sensor. Using a simple and standard non-parametric mathematical technique, Principal Component Analysis (PCA), the respiratory related information is extracted from complex data sets such as PPG and BP signals. The respiratory induced variations (RIV) of PPG and BP signals are described by coefficients of computed principal components. Singular value ratio (SVR) trend is used to find the periodicity, which is one of the crucial parameters in forming the data sets for PCA. Test results on MIMIC data base clearly indicated a strong correlation between the extracted and actual respiratory signals. Statistical measures in both time and frequency domains such as Relative Correlation Coefficient (RCC) and Magnitude Squared Coherence (MSC) respectively and Accuracy Rate (AR) are calculated to demonstrate the fact, that respiratory signal is present in the form of first principal components.","PeriodicalId":408736,"journal":{"name":"2011 International Conference on Communications and Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131192956","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: 9

A Novel wide band planar Π shaped base station antenna 一种新型宽带平面Π型基站天线

2011 International Conference on Communications and Signal Processing Pub Date : 2011-03-24 DOI: 10.1109/ICCSP.2011.5739322

K. Kumar, N. Gunasekaran

引用次数: 2

GMSK modulator for GSM system, an economical implementation on FPGA GSM系统GMSK调制器，在FPGA上的经济实现

2011 International Conference on Communications and Signal Processing Pub Date : 2011-03-24 DOI: 10.1109/ICCSP.2011.5739302

K.M Nitin Babu, K. K. Vinaymurthi

引用次数: 12

A wavelet-domain local feature selection scheme for face recognition 一种用于人脸识别的小波域局部特征选择方法

2011 International Conference on Communications and Signal Processing Pub Date : 2011-03-24 DOI: 10.1109/ICCSP.2011.5739357

H. Imtiaz, S. Fattah

引用次数: 12