2004 International Conference on Signal Processing and Communications, 2004. SPCOM '04.最新文献_第9页

Minimum probability of error demodulation for uplink MC-CDMA 上行链路MC-CDMA的最小误差解调概率

2004 International Conference on Signal Processing and Communications, 2004. SPCOM '04. Pub Date : 2004-12-11 DOI: 10.1109/SPCOM.2004.1458495

P. Dayal, A. Mahanta, U. Desai

{"title":"Minimum probability of error demodulation for uplink MC-CDMA","authors":"P. Dayal, A. Mahanta, U. Desai","doi":"10.1109/SPCOM.2004.1458495","DOIUrl":"https://doi.org/10.1109/SPCOM.2004.1458495","url":null,"abstract":"Multi-carrier code division multiple access (MC-CDMA) is an attractive choice for high speed wireless communication as it mitigates the problem of intersymbol interference (ISI) inherent in code division multiple access (CDMA) and also exploits frequency diversity unlike orthogonal frequency division multiplexing (OFDM). The data stream in MC-CDMA is spread using a user specific spreading sequence in the frequency domain and thus, every chip travels on a different sub-carrier. At the receiver, the different sub-carriers have to be combined properly to form the decision variable. minimum mean square error (MMSE) detector is a popular choice for this, but as it tries to minimize the mean square error (MSE) and not the bit error rate (BER), the BER it attains is not optimum. In this paper, we propose a minimum probability of error (MPOE) based linear multiuser detector for uplink MC-CDMA, which tries to minimize the probability of error, by exploiting the probability density function (pdf) of the filter's output. Theoretical and simulation results are presented for the MPOE detector and it can be seen that the MPOE detector outperforms the MMSE detector in terms of BER and near far resistance.","PeriodicalId":424981,"journal":{"name":"2004 International Conference on Signal Processing and Communications, 2004. SPCOM '04.","volume":"181 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114846757","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

Vector quantization techniques for multiple-antenna channel information feedback 多天线信道信息反馈的矢量量化技术

2004 International Conference on Signal Processing and Communications, 2004. SPCOM '04. Pub Date : 2004-12-11 DOI: 10.1109/SPCOM.2004.1458490

J. Roh, B. Rao

引用次数: 22

Adaptive multiscale image denoising using neural networks 基于神经网络的自适应多尺度图像去噪

2004 International Conference on Signal Processing and Communications, 2004. SPCOM '04. Pub Date : 2004-12-11 DOI: 10.1109/SPCOM.2004.1458373

M. Srinivasan, S. Annadurai

引用次数: 0

Performance analysis of space-time coding over ultra wideband channels 超宽带信道空时编码性能分析

2004 International Conference on Signal Processing and Communications, 2004. SPCOM '04. Pub Date : 2004-12-11 DOI: 10.1109/SPCOM.2004.1458409

C.A. Rjeily, N. Daniele

引用次数: 7

Iterative localisation in wireless ad hoc sensor networks: one-dimensional case 无线自组织传感器网络中的迭代定位:一维情况

2004 International Conference on Signal Processing and Communications, 2004. SPCOM '04. Pub Date : 2004-12-11 DOI: 10.1109/SPCOM.2004.1458387

A. Karnik, A. Kumar

引用次数: 9

Analysis of increased correlation in blind audio watermark detection 盲音频水印检测中增强相关性分析

2004 International Conference on Signal Processing and Communications, 2004. SPCOM '04. Pub Date : 2004-12-11 DOI: 10.1109/SPCOM.2004.1458431

S. Krishna Kumar, T. Sreenivas

引用次数: 0

Robust timing and frequency synchronization algorithm for IEEE 802.16 OFDM systems IEEE 802.16 OFDM系统的鲁棒定时和频率同步算法

2004 International Conference on Signal Processing and Communications, 2004. SPCOM '04. Pub Date : 2004-12-11 DOI: 10.1109/SPCOM.2004.1458392

N. Balamurali, D. Jalihal

引用次数: 4

Per antenna/stream union bound as a channel quality indicator for MIMO systems 每个天线/流联合绑定作为MIMO系统的信道质量指标

2004 International Conference on Signal Processing and Communications, 2004. SPCOM '04. Pub Date : 2004-12-11 DOI: 10.1109/SPCOM.2004.1458516

N. Sharma

引用次数: 0

A simple approach to provide QoS and fairness in Internet 一种在Internet中提供QoS和公平性的简单方法

2004 International Conference on Signal Processing and Communications, 2004. SPCOM '04. Pub Date : 2004-12-11 DOI: 10.1109/SPCOM.2004.1458492

Vihang Kamble, V. Sharma

引用次数: 6

Speech systems classification based on frequency of binary word features 基于二值词特征频率的语音系统分类

2004 International Conference on Signal Processing and Communications, 2004. SPCOM '04. Pub Date : 2004-12-11 DOI: 10.1109/SPCOM.2004.1458384

S. Maithani, M. Din

{"title":"Speech systems classification based on frequency of binary word features","authors":"S. Maithani, M. Din","doi":"10.1109/SPCOM.2004.1458384","DOIUrl":"https://doi.org/10.1109/SPCOM.2004.1458384","url":null,"abstract":"This paper presents a robust method to classify the speech communication systems on the basis of speech coding technique used in digitizing the speech. The method works for both clear and noisy speech conditions, when the level of noise may be unknown or known in terms of bit alterations level up to 30% and can identify coding in as short as 640 bit speech. The noise level is estimated using a technique based on higher order statistics (HOS) using digitized speech output and is independent of the coding used. The classification algorithms used are of two types: Minimum Distance Classifier (MDC) based on Linear Discriminant function (LDF) and Artificial Neural Net (ANN). The features used are based on frequency of binary words, characterizing the speech coding technique used in the speech systems. Three types of codings namely Pulse Code Modulation (PCM), Continuously Variable Slope Delta Modulation (CVSD) and Linear Predictive Coding (LPC) are considered. The classification score obtained for both known and unknown noise level arc compared. It is found that results are far better when level of noise is known in both types of classifiers.","PeriodicalId":424981,"journal":{"name":"2004 International Conference on Signal Processing and Communications, 2004. SPCOM '04.","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126794741","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: 7