介紹回歸問題中高斯過程的應(yīng)用
介紹回歸問題中高斯過程的應(yīng)用，C. E. Rasmussen & C. K. I. Williams, Gaussian Processes for Machine Learning,...
nonlinear_non-Gaussian技術(shù)資料
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The Kalman filter is an efficient recursive filter that estimates the state of a linear dynamic syst
The Kalman filter is an efficient recursive filter that estimates the state of a linear dynamic syst...
Consider a BPSK and a QPSK system for the following two cases: 1) The probability that the symbol 1
Consider a BPSK and a QPSK system for the following two cases: 1) The probability that the symbol 1 ...
SiftGPU is an implementation of SIFT [1] for GPU. SiftGPU processes pixels parallely to build Gaussi
SiftGPU is an implementation of SIFT [1] for GPU. SiftGPU processes pixels parallely to build Gaussi...
Implements mixture of binary (logistic) PCAs where pixels are modeled using Bernoulli distributions
Implements mixture of binary (logistic) PCAs where pixels are modeled using Bernoulli distributions ...
This is an analog signal communication simulator, usign frequency modulation. It is designed in MATL
This is an analog signal communication simulator, usign frequency modulation. It is designed in MATL...
EM算法（英文）A Gentle Tutorial of the EM Algorithm and its Application to Parameter Estimation for Gaus
EM算法（英文）A Gentle Tutorial of the EM Algorithm and its Application to Parameter Estimation for Gaus...
EDA分布估計算法經(jīng)典論文
壓縮包中有5篇論文，分別為《Data-driven analysis of variables and dependencies in continuous optimization problems...
A Foundation in Digital Communication
Without conceding a blemish in the first edition, I think I had best come clean and admit that I emb...
Adaptive Antennas and Receivers
Homogeneous Partitioning of the Surveillance Volume discusses the implementation of the first of thr...