信号处理最新文献_第4页

The sequential MCMC filter: formulation and applications 顺序MCMC过滤器:配方及应用

信号处理 Pub Date : 2001-08-06 DOI: 10.1109/SSP.2001.955214

D.S. Lee, N. Chia

{"title":"The sequential MCMC filter: formulation and applications","authors":"D.S. Lee, N. Chia","doi":"10.1109/SSP.2001.955214","DOIUrl":"https://doi.org/10.1109/SSP.2001.955214","url":null,"abstract":"We consider the general signal-processing problem of learning about certain attributes of interest from measurements. These attributes, which may be time-varying (dynamic) or time-invariant (static), can be anything that are relevant to the physical processes that produce the measurements. In statistical signal processing, imperfections or uncertainties in the physical processes are described using probability models, and the complete probabilistic solution to the problem is given by the distribution of the attributes conditioned on all available measurements (the posterior distribution). We describe an algorithm for computing this solution, especially in situations with many measurements or low signal-to-noise ratios. The algorithm combines sequential importance sampling (SIS) and Markov chain Monte Carlo (MCMC) so as to achieve computational efficiency and stability. MCMC is performed sequentially for batches of measurements whose sizes are determined adaptively, hence the name sequential MCMC filter. For measurements within a batch, SIS is performed. Thus, bigger batch sizes mean that MCMC is performed less frequently. SIS is computationally efficient but with a finite Monte Carlo sample size, stability is not guaranteed indefinitely. MCMC is therefore needed from time to time to \"refresh\" the Monte Carlo sample, eliminating any errors that may have accumulated from the SIS steps. When MCMC is performed, it does not start from scratch but uses the most recent Monte Carlo sample from SIS to construct the proposal distribution. Adaptive batch sizing is based on a Kullback-Leibler distance that is easy to compute. By extending the algorithm to multiple models, the sequential MCMC filter can deal simultaneously with the dual pillars of statistical signal processing, namely detection (more generally, model selection) and parameter estimation. We discuss general uses of the sequential MCMC filter, and demonstrate its use for simultaneous weak signal detection and parameter estimation in a real-data experiment.","PeriodicalId":70952,"journal":{"name":"信号处理","volume":"22 1","pages":"30-33"},"PeriodicalIF":0.0,"publicationDate":"2001-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74457625","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: 4

Identification of gear mesh signals by kurtosis maximisation and its application to CH46 helicopter gearbox data 峰度最大化法识别齿轮啮合信号及其在CH46直升机齿轮箱数据中的应用

信号处理 Pub Date : 2001-08-06 DOI: 10.1109/SSP.2001.955299

Wenyi Wang

引用次数: 13

Feature discovery and sensor discrimination in a network of distributed radar sensors for target tracking 面向目标跟踪的分布式雷达传感器网络特征发现与传感器识别

信号处理 Pub Date : 2001-08-06 DOI: 10.1109/SSP.2001.955238

S. Kadambe

{"title":"Feature discovery and sensor discrimination in a network of distributed radar sensors for target tracking","authors":"S. Kadambe","doi":"10.1109/SSP.2001.955238","DOIUrl":"https://doi.org/10.1109/SSP.2001.955238","url":null,"abstract":"A spatially distributed network of radar sensors is being used for target tracking and for generating a single integrated aerial picture (SIAP). In such a network generally each sensor sends whatever target track/association information it has to every other sensor. This has the disadvantage of requiring more communication bandwidth and processing power. One of the ways to reduce the communication bandwidth and the processing power is to discover features that would improve the target detection/track accuracy and activate those sensors that would provide the missing information and, form clusters of sensors that have consistent information. We describe a minimax entropy based technique for feature discovery and within class entropy based technique for feature/sensor discrimination. After discovering the features, those sensors that can provide the discovered features are activated. The decision based on the sensor discrimination is used in cluster formation. The experimental details and simulation results that are provided here indicate that these metrics are efficient in discovering features and in discriminating sensors. The techniques described are dynamic in nature - as it acquires information it is making a decision on whether it is from a good sensor in terms of consistency. This has the advantage of discarding non-valid information dynamically and making progressive decision.","PeriodicalId":70952,"journal":{"name":"信号处理","volume":"136-137 1","pages":"126-129"},"PeriodicalIF":0.0,"publicationDate":"2001-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79104532","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

Blind equalization using cumulant based MIMO inverse filter criteria for multiuser DS/CDMA systems in multipath 基于累积量的多用户DS/CDMA系统MIMO反滤波盲均衡

信号处理 Pub Date : 2001-08-06 DOI: 10.1109/SSP.2001.955236

Chong-Yung Chi, Chi-Horng Chen

引用次数: 0

Nonlinear image filtering in a mixture of Gaussian and heavy-tailed noise 混合高斯和重尾噪声的非线性图像滤波

信号处理 Pub Date : 2001-08-06 DOI: 10.1109/SSP.2001.955229

A. Ben Hamza, H. Krim

引用次数: 2

Polynomial phase signal based detection of buried landmines using ground penetrating radar 基于多项式相位信号的探地雷达埋地地雷探测

信号处理 Pub Date : 2001-08-06 DOI: 10.1109/SSP.2001.955248

L. Cirillo, C. L. Brown, A. Zoubir

引用次数: 6

A SOS subspace method for blind channel identification and equalization in bandwidth efficient OFDM systems based on receive antenna diversity 基于接收天线分集的高效频宽OFDM系统盲信道识别与均衡的SOS子空间方法

信号处理 Pub Date : 2001-08-06 DOI: 10.1109/SSP.2001.955307

H. Ali, J. Manton, Y. Hua

引用次数: 22

Subspace-based blind adaptive multiuser detection for multirate DS/CDMA signals 基于子空间的多速率DS/CDMA信号盲自适应多用户检测

信号处理 Pub Date : 2001-08-06 DOI: 10.1109/SSP.2001.955233

L. Huang, F. Zheng, M. Faulkner

引用次数: 2

Aspects of contemporary statistical methods 当代统计方法的各个方面

信号处理 Pub Date : 2001-08-06 DOI: 10.1109/SSP.2001.955205

P. Hall

{"title":"Aspects of contemporary statistical methods","authors":"P. Hall","doi":"10.1109/SSP.2001.955205","DOIUrl":"https://doi.org/10.1109/SSP.2001.955205","url":null,"abstract":"Summary form only given, as follows. Commenting on the development of statistics early in the 20th century, the UCLA historian Theodore Porter wrote that \"the foundations of mathematical statistics were laid between 1890 and 1930\", and argued that \"the principal families of techniques for analyzing numerical data were established during the same period.\" There was a revolution in quantitative data analysis in the early part of last century, leading to the development of the subject we know today as statistics. And at the time Porter wrote, in 1986, he would also have been correct in his second assertion. However, it would be difficult to justify the same remarks today. The speed and memory of computers have increased one thousand fold since 1986, and the second revolution in statistics, certainly motivated and perhaps driven by developments in computing, has begun to fundamentally change statistical methodology. It is a long way from running its course. Over the next few decades it will transform the subject into something that is quite different, in terms of its range and the emphases on types of problems that it treats, from that which we know today. If the development of statistics had taken place in the environment of contemporary advances in computing then the subject would most likely be less mathematical, and more of an experimental science, then it is today. The present talk discusses some of the changes, in areas of resampling and Monte Carlo methods, and outlines new directions for at least the near future.","PeriodicalId":70952,"journal":{"name":"信号处理","volume":"81 1","pages":"1-"},"PeriodicalIF":0.0,"publicationDate":"2001-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90984227","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

A reduced rank decorrelating RAKE receiver for CDMA communications over frequency selective channels 一种用于频率选择信道CDMA通信的降阶去相关RAKE接收机

信号处理 Pub Date : 2001-08-06 DOI: 10.1109/SSP.2001.955231

O. Ozdemir, M. Torlak

{"title":"A reduced rank decorrelating RAKE receiver for CDMA communications over frequency selective channels","authors":"O. Ozdemir, M. Torlak","doi":"10.1109/SSP.2001.955231","DOIUrl":"https://doi.org/10.1109/SSP.2001.955231","url":null,"abstract":"CDMA systems need simultaneous multiple access interference suppression and adaptive interference suppression filters that may span three symbols. Thus, a large number of filter coefficients need to be estimated. By the use of reduced rank filtering, it is possible to lower the number of required filter coefficients with a small decrease in performance. Honig (see Proc. IEEE Asilomar Conf. Signals, Syst. Comput., Pacific Grove, CA, p.1106-10, 1998) made a successful attempt to develop a reduced rank algorithm based on the multistage Wiener (MSW) filter of Goldstein and Reed (see IEEE Tran. on Information Theory, vol.44, no.7, p.2943-59, 1998) for non-dispersive CDMA signals. In this paper, motivated by MSW we propose a reduced rank decorrelating RAKE receiver for dispersive CDMA signals. The proposed receiver is blindly implemented in a lower dimensional space, relative to the full-rank receivers, without the aid of training sequences and the channel information. By exploiting the structure of the user signature waveform, the proposed receivers exhibit performance close to that of the reduced rank MMSE receiver implemented with the desired user's known channel information.","PeriodicalId":70952,"journal":{"name":"信号处理","volume":"6 1","pages":"98-101"},"PeriodicalIF":0.0,"publicationDate":"2001-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90196605","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