circfit

说明：  隐马尔可夫模型,浙江大学人工智能研究所.HMM的由来 马尔可夫性和马尔可夫链 HMM实例 HMM的三个基本算法 主要参考文献(Hidden Markov models, Artificial Intelligence Institute of Zhejiang University. HMM Origin Markov and Markov chain HMM example The three basic algorithms HMM Main references)

有关matlab中past--power system analysis toolbox潮流计算工具箱的介绍，英文版(Matlab in the past- power system analysis toolbox toolbox flow calculation introduction, English)

浙江大学关于概率模型的ppt演示文稿，可以参考(Zhejiang university about probability model PPT presentation manuscripts, can reference)

Turbo码仿真程序。有Turbo码的编码，MAP算法，迭代译码，删余和没删余的。(Turbo code simulation program. Turbo codes have coding, MAP algorithm, iterative decoding, censored and no more than delete the remaining.)

OFDM的MATHLAB仿真，计算误码率，误比特率，π/4qpsk调制(OFDM-MATHLAB simulation, the calculation error rate, bit error rate, π/4qpsk modulation)

说明：  用MATLAB实现的迷宫 功能是用最短路径算法直接生成一个迷宫图(Maze implemented by matlab, 90 percent of the code was designed by my partner and me.)

实现了卷积受限玻尔兹曼机（深度学习的一个重要算法），包括C++和matlab版本(Restricted Boltzmann realized convolution machine (depth study of an important algorithm), including C++ and matlab version)

A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.(A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.)

用感知器实现或功能的M文件，MATLAB中运行正确，(ANN)

DSR bug report in pdf format