This a Bayesian ICA algorithm for the linear instantaneous mixing model with additive Gaussian noise [1]. The inference problem is solved by ML-II, i.e. the sources are found by integration over the source posterior and the noise covariance and mixing matrix are found by maximization of the marginal likelihood [1]. The sufficient statistics are estimated by either variational mean field theory with the linear response correction or by adaptive TAP mean field theory [2,3]. The mean field equations are solved by a belief propagation method [4] or sequential iteration. The computational complexity is N M^3, where N is the number of time samples and M the number of sources.
標簽： instantaneous algorithm Bayesian Gaussian
上傳時間： 2013-12-19
上傳用戶：jjj0202
這個Matlab程序計算在高斯白噪聲（additive White Gaussian Channel ）下BPSK調(diào)制中的錯誤概率。
標簽： additive Gaussian Channel Matlab
上傳時間： 2014-01-13
上傳用戶：gtzj
noise image processing test gaussian salt pepper additive.非常容易的一個code
標簽： processing gaussian additive pepper
上傳時間： 2016-08-29
上傳用戶：woshiayin
The invention of the compound additive for alkaline PH value of more than 13 strong base will not only be able to prevent soil acidification, can effectively improve the soil acidic, as well as the rich soil of minerals, in the air to absorb the carbon and nitrogen for The use of plants.
標簽： invention compound additive alkaline
上傳時間： 2013-12-08
上傳用戶：xauthu
Compute Classical detection threshold for radar detection under additive Gaussian white noise criterion and specified false alarm probability.
標簽： detection Classical threshold additive
上傳時間： 2013-12-09
上傳用戶：hwl453472107
Compute Classical CFAR binary detection threshold for radar detection under additive Gaussian white noise criterion and specified false alarm probability.
標簽： detection Classical threshold additive
上傳時間： 2013-12-22
上傳用戶：希醬大魔王
From additive manufacturing to 3D4D printing 3 Breakthrough Innovations Programmable Material, 4D Printing and Bio-printing by André, Jean-Claude (z-lib.org)
標簽： 3D生物打印
上傳時間： 2022-01-31
上傳用戶：
This paper deals with the problem of speech enhancement when a corrupted speech signal with an additive colored noise is the only information available for processing. Kalman filtering is known as an effective speech enhancement technique, in which speech signal is usually modeled as autoregressive (AR) process and represented in the state-space domain.
標簽： speech with enhancement corrupted
上傳時間： 2015-09-07
上傳用戶：zhangyi99104144
In this project we analyze and design the minimum mean-square error (MMSE) multiuser receiver for uniformly quantized synchronous code division multiple access (CDMA) signals in additive white Gaussian noise (AWGN) channels.This project is mainly based on the representation of uniform quantizer by gain plus additive noise model. Based on this model, we derive the weight vector and the output signal-to-interference ratio (SIR) of the MMSE receiver. The effects of quantization on the MMSE receiver performance is characterized in a single parameter named 鈥漞quivalent noise variance鈥? The optimal quantizer stepsize which maximizes the MMSE receiver output SNR is also determined.
標簽： mean-square multiuser receiver project
上傳時間： 2014-11-21
上傳用戶：ywqaxiwang
This is an analog signal communication simulator, usign frequency modulation. It is designed in MATLAB-Simulink. The communications channel beetween the transmitter and the reciever is supposed to be affected by additive white Gaussian noise.
標簽： communication modulation frequency simulator
上傳時間： 2013-12-25
上傳用戶：王楚楚
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