一个可用的凸优化算法代码

Krnel wiener filter (algorithm in matlab)

对给定语音信号进行抽样、量化和13折线PCM编码，经过传输后，接收端进行PCM译码，对此过程进行matlab仿真分析。(Given speech signal sampling, quantization and PCM 13 line coding, after transmission, the receiver for PCM decoding, matlab simulation of this process)

fuzzy toolbox documents

服装空气层计算，用来模拟服装中空气层的流动状态和温度分布 (wearing air layer, used to simulate the wearing layer of air flow and temperature distribution in the state)

通过matlab编写的几个关于psnr、mse的图像处理的小程序(Through several matlab written on the PSNR, MSE image processing of small procedures psnr_nmse_rms)

MATLAB编程，我认为最实用的一部书。的确很详细，从新手到高手。(MATLAB programming, I think it is the most practical one book. Which is very detailed, from the novice to master.)

介绍matlab中simulink仿真工具的使用以及类别，如何搭建kalman滤波的仿真框图(Matlab simulink simulation tools introduced in the use and type, how to build the simulation block diagram of the kalman filter)

sparsity 工具箱,包括稀疏信号的感知压缩和多种解码恢复算法。(tool_sparsity, including sparse signal compression and recovery.)

电力系统配电网树状网的潮流计算，附有有PDF的程序源码文档说明 (Power system with grid power flow calculation of the tree network, attached to the PDF program source code documentation)

The codes included here require Matlab platform 7.0.0 or higher. The source codes have been written by the students who have undergone this subject. The codes are problem specific and not general. The principle aim was to develop softwares for illustration of computational methods and are generally far from optimal. Knowledge of any computer language is sufficient to change the parameters in the codes. A person well versed in Matlab should be able to modify these codes or write their own. It is a common knowledge that understanding the codes written by others is not a pleasant experience. Therefore, useful comments have been added in the codes to help users.(The codes included here require Matlab platform 7.0.0 or higher. The source codes have been written by the students who have undergone this subject. The codes are problem specific and not general. The principle aim was to develop softwares for illustration of computational methods and are generally far from optimal. Knowledge of any computer language is sufficient to change the parameters in the codes. A person well versed in Matlab should be able to modify these codes or write their own. It is a common knowledge that understanding the codes written by others is not a pleasant experience. Therefore, useful comments have been added in the codes to help users.)