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The members of the organizing committee are pleased to welcome you to the official IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) website. The next WASPAA will be h...
The objective of this workshop is to provide an informal atmosphere for discussions of original research on signal processing techniques with underwater acoustic applications. The intent is to review ...
The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, ex...
The goal of this article is to investigate and suggest techniques for health condition monitoring and diagnosis using machine learning from sensor data. In particular, this article overview and discus...
Radar technology has for a long time used various systems that allow detection under high-resolution conditions, while emitting at the same time low peak power. Among these systems, transmitted pulse ...
We consider the array signal processing problem of choosing the weight vector to minimize noise power, subject to a unit array gain for the desired wave, and subject to rejection constraints on interf...
This paper concerns a fractional function of the form x^Ta/sqrt{x^TBx}, where B is positive definite. We consider the game of choosing x from a convex set, to maximize the function, and choosing (a,B)...
Abstract: Tomograms, a generalization of the Radon transform to arbitrary pairs of non-commuting operators, are positive bilinear transforms with a rigorous probabilistic interpretation which provide ...
We study a random code ensemble with a hierarchical structure, which is closely related to generalized random energy model with discrete energy values.Based on this correspondence, we analyze this ens...
This thesis will be concerned with distributed control and coordination of networks consisting of multiple, potentially mobile, agents. This is motivated mainly by the emergence of large scale network...
A two-dimensional (2D) autoregressive-moving average (ARMA) model for image processing has been developed. An optimum estimation and prediction approach based on this modelling has been simulated. The...
期刊信息 篇名 A cross-associative neural network for SVD of nonsquared data matrix in signal processing 语种 英文 撰写或编译 撰写 作者 Da-Zheng Feng,Zheng Bao and Xian-Da Zhang 第一作者单位 西安电子科技大学 刊物名称 IEEE Trans. Neural Ne...
期刊信息 篇名 A cross-associative neural network used as SVD of non-square data matrix or cross-correlation matrix in signal processing 语种 英文 撰写或编译 撰写 作者 Da-Zheng Feng,Hai-Qin Zhang,Xian-Da Zhang,and Zheng ...

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