Titlebook: Intelligent Control and Automation; International Confer De-Shuang Huang,Kang Li,George William Irwin Book 2006 Springer-Verlag Berlin Heid

变态

消毒

An Efficient Blind SIMO Channel Identification Algorithm Via Eigenvalue Decomposition not require the input signal to be independent and identical distribution, and even the input signal can be non-stationary. Compared with Least-Square Approach, the new algorithm is more robust to the overestimation of channel order. Finally, the experiments demonstrate the good performance of the proposed algorithm.

上腭

相反放置

Lecture Notes in Control and Information Scienceshttp://image.papertrans.cn/i/image/469545.jpg

向前变椭圆

凌辱

A Unified Framework of Morphological Associative Memories morphological associative memories (EFMAM), etc., are extremely new artificial neural networks. They have many attractive advantages such as unlimited storage capacity, one-short recall speed and good noise-tolerance to erosive or dilative noise. Although MAM, FMAM and EFMAM are different and easil

Multiple

A New Speech Denoising Method Based on WPD-ICA Feature Extraction not be directly applied in ICA feature extraction. In this paper, we propose a new method using wavelet packet decomposition (WPD) as preprocessing for single channel data. Wavelet packet coefficients (WPCs) provide multi-channel data as input data to learn ICA basis vectors. Furthermore we project

轻推

TOXIN

UTTER

A New Step-Adaptive Natural Gradient Algorithm for Blind Source Separationtability. The proposed BSS algorithms mainly derived from the Gaussian probability density function and statistical independence. A new adaptive method is proposed in the paper. The method uses the temporal predictability as cost function which is not studied as much as other generic differences bet