配偶
发表于 2025-3-25 04:48:37
A Blind Signal Separation Algorithmw blind signal separation algorithm is derived which is entirely based on second order statistics. The algorithm can run in off-line or online (adaptive) mode. One of the advantages of this algorithm is that no assumptions are made about the probability density functions or other properties of the s
Tempor
发表于 2025-3-25 10:52:43
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Gesture
发表于 2025-3-25 12:00:49
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伙伴
发表于 2025-3-25 15:59:56
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allergy
发表于 2025-3-25 21:55:27
elates to the fact that there are no reference signals forthe source signals and also that the mixing system is unknown. Thisbook presents a new method for blind signal separation, which isdeveloped to work on microphone signals. .Acoustic Echo Cancellation (AEC) is a well-known technique to suppres
要求比…更好
发表于 2025-3-26 00:17:42
Blind Signal Separation Algorithm Evaluationata that is available such that researches can compare their results. Although this chapter is focussed on acoustic applications, many of the remarks apply to other BSS application areas as well. The work in this chapter is published in Schobben eta!.,1999..
conjunctivitis
发表于 2025-3-26 05:00:45
Introduction techniques. Background information on room acoustics, speech and microphone setups is presented. Also the objectives of the work in this book are discussed and an overview of the remaining chapters is given. The chapter concludes with describing the mathematical notation that is used throughout.
饥荒
发表于 2025-3-26 09:39:12
An Efficient Adaptive Filter Implementationonvergence can be extremely slow however when working with real-life audio signals and long filters. Moreover, the computational complexity grows linearly with the filter length making it impractical to implement long (thousands of coefficients) filters in real-time.
MEEK
发表于 2025-3-26 14:14:06
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贵族
发表于 2025-3-26 17:35:22
Conclusionstistics. In addition, efficient implementations are presented for the single channel echo canceler and the delay and sum beamformer. Also, methods to evaluate blind signal separation algorithms are given along with comments on what cases are difficult for blind signal separation algorithms.