白杨鱼
发表于 2025-3-25 03:37:33
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idiopathic
发表于 2025-3-25 09:54:37
Book 1999communications). There is also a chapter devoted to robust cumulantestimation, an important problem where HOS results have beenencouraging. ..Blind Estimation Using Higher-Order Statistics. is an invaluablereference for researchers, professionals and graduate students workingin signal processing and
Gingivitis
发表于 2025-3-25 13:31:51
sonar andcommunications). There is also a chapter devoted to robust cumulantestimation, an important problem where HOS results have beenencouraging. ..Blind Estimation Using Higher-Order Statistics. is an invaluablereference for researchers, professionals and graduate students workingin signal processing and978-1-4419-5078-9978-1-4757-2985-6
流动性
发表于 2025-3-25 16:21:15
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Morphine
发表于 2025-3-25 20:28:51
Asoke Kumar Nandi (David Jardine Chair of Electric
得罪
发表于 2025-3-26 02:11:10
https://doi.org/10.1007/3-540-29252-7ignals of an array of microphones, as long as the signals to be extracted fulfil certain conditions . Wireless communications is another usual application field of signal separation techniques. In a CDMA (Code Division Multiple Access) environment several users share the same radio channel
拘留
发表于 2025-3-26 08:22:02
Higher-Order and Cyclostationary Statistics,er statistical information. Autocorrelations and cross-correlations are examples of second-order statistics (SOS). The power spectrum which is widely used and contains useful information is again based on the second-order statistics in that the power spectrum is the one-dimensional Fourier transform
Galactogogue
发表于 2025-3-26 09:37:37
Blind Signal Equalisation,his is in effect inverse system modelling, an architecture that is well-known in adaptive filtering theory. The cascade of channel and equaliser should constitute an identity operation, with the exception of a time delay and linear phase shift being allowed.
运动吧
发表于 2025-3-26 13:00:45
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GRIEF
发表于 2025-3-26 17:09:36
Blind Source Separation,om another set of measurements which were generated as mixtures of the initial set. Since usually neither the original signals — called . — nor the mixing transformation are known, this is certainly a challenging problem of multichannel blind estimation. One of the most typical examples is the socal