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说明：  一种快速有效、性能可靠的信号重构算法是压缩感知理论的核心部分，对于 这部分内容，许多卓有成效的研究工作正在陆续展开。从压缩感知理论提出至今， 已经出现了多种稀疏信号的重构算法。重构算法主要可以归结为三大类：贪婪算 法，凸松弛算法和组合算法。这里主要是SP算法(A fast and efficient, reliable signal reconstruction algorithm is the core of compressed sensing theory, for this part, much fruitful research work is carried out successively. From the compressed sensing theory so far, there have been many sparse signal reconstruction algorithm. Reconstruction algorithm can be summarized into three main categories: the greedy algorithm, convex relaxation algorithms and combinatorial algorithms. This algorithm is mainly SP)

Sparse MRI Sparse MRI reconstruction based compressed sensing(Sparse MRI reconstruction based compressed sensing Sparse MRI reconstruction based compressed sensing)

coherent detection matlab simulink

Two functions for projection matrix estimation (the two methods can be found in Trucco).

P0301：数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩 (P0301: the display of digital image data matrix and Fourier transform P0302: two-dimensional discrete cosine transform image compression)

此程序为机动目标的交互多模型跟踪算法，采用了CS/CA/MCT模型(This program interacting multiple model for maneuvering target tracking algorithm, using the CS/CA/MCT model)

For training two-layer perceptrons using steepest descent.

说明：  支持向量机的matlab代码。其中包括支持向量机的训练代码。(Support vector machine matlab code. Including the training of support vector machine code.)

小波分析必备教材，小波十讲简明较易懂，帮助学习小波理论(wavelet)

计量经济学中的ＴＡＲ模型，对门限阀整非常有用(TAR models in econometrics door limit valve entire useful)