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The package includes 3 Matlab-interfaces to the c-code:
1. inference.m
An interface to the full inference package, includes several methods for
approximate inference: Loopy Belief Propagation, Generalized Belief
Propagation, Mean-Field
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belief propagation algrithm
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belief propagation implementation
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用多尺度卡尔曼滤波法，对信号参数进行识别估计。高频信号和低频信号识别结合起来改进了算法识别的精确度和准确度。-It is an implementation of hierarchical (a.k.a. multi-scale) Kalman filter using belief propagation. The model parameters are estimated by expectation maximization (EM) algorithm. In this impleme
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用 LDPC 解码法，对原始信号通道的噪声进行评估，消去。具体原理可参照IEEE TCOM的论文。-Channel Noise Estimation or correlation estimation for distributed source coding Using Particle based Belief Propagation for LDPC decoding in AWGN and BSC models.
This code is partially based on our
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a C++ implementation of the stereo and image restoration algorithms described in the paper:
Efficient Belief Propagation for Early Vision
Pedro F. Felzenszwalb and Daniel P. Huttenlocher
International Journal of Computer Vision, Vol. 70, No
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