变态
发表于 2025-3-28 14:53:46
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消毒
发表于 2025-3-28 22:20:01
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
发表于 2025-3-28 23:50:59
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相反放置
发表于 2025-3-29 05:06:21
Lecture Notes in Control and Information Scienceshttp://image.papertrans.cn/i/image/469545.jpg
向前变椭圆
发表于 2025-3-29 11:05:05
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凌辱
发表于 2025-3-29 12:42:09
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
发表于 2025-3-29 17:25:58
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
发表于 2025-3-29 20:47:00
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TOXIN
发表于 2025-3-30 02:47:27
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UTTER
发表于 2025-3-30 06:12:08
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