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压缩传感是一个从2006年左右开始兴起的研究领域，它关注于如何采样信号，也就是信号的采样方式或者压缩方式。通过设计一种特殊的采样方案，可以使得采样频率降低为信号的“信息率”，而不是传统的奈奎斯特采样率，于是，实际的采样率可以大大低于奈奎斯特频率，却只损失很少的信息量，依然保持了充足的信息量足以恢复出采样前的原始信号。这个研究思想挑战了奈奎斯特频率的理论极限，会对整个信号处理领域产生极其深远的影响，同时，信号处理的许多应用领域也会随之发生根本性的发展和变化。
-Compressive sens
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implementation of belief propagation algorithm in matlab
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The decoding of Low Density Parity Check (LDPC) codes through the iterative process of belief propagation presents practical challenges for designers looking for real time performance in communication systems. Due to the geometric and finite pattern
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图像修复,利用块稀疏的方式实现图像的修复，根据图像丢失区域附近的稀疏程度来描述响应点的优先级决定修复顺序-Image Inpainting
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A tutorials on Factor Graphs
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A tutorial on belief propagation
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有关LDPC码的基础知识，对于初学者有很好的帮助。里面包括置信传播译码算法以及对比图-LDPC codes based on knowledge, there is a good help for beginners. Which includes belief propagation decoding algorithm and comparison chart
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系统地综述了基于MRF的图像分割方法。介绍了基于MRF模型的图像分割理论框架,给出了当前MRF图像建模研究的热点问题。概括了基于MRF模型的图像分割算法,包括图割算法、归一化割算法、置信度传播算法等,指出了这些算法的发展方向-Summarized the image segmentation method based on MRF. Introduces the image segmentation based on MRF model theory framework, gives the h
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关于LTE的文章，希望大家喜欢。
Belief-propagation-based joint channel estimation and decoding for spectrally efficient communication over unknown sparse channels-Belief-propagation-based joint channel estimation and decoding for spectrally efficient communicatio
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Belief Propagation译码算法的动态系统实现。-Belief Propagation as a Dynamical System
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Belief Propagation译码算法的matlab详细执行说明。-Implementing the Belief Propagation
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the belief propagation algorithm in matlab
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Low-Density Parity-Check (LDPC) codes have gained lots of popularity due to their
capacity achieving/approaching property. This work studies the iterative decoding
also known as message-passing algorithms applied to LDPC codes. Belief propagation
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C and MATLAB implementation for LDPC encoding and decoding-Overview of what is provided
WiFi (IEEE 802.11n) LDPC code construction
Encoding by back-substitution for WiFi LDPC codes
Iterative belief propagation (BP) Decoding (including
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