Untitled

采用BP算法来实现压缩感知的信号重构示例。BP算法由线性规划来实现，稀疏基为DCT基，信号为语音信号(an example of using BP algorithm for signal reconstruction in compressed sensing. BP algorithm is implemented by linear programming, sparse basis is the DCT basis, the signal used is speech)

光纤通信的书，里面有基于matlab的通信仿真(Optical fiber communication book, which has matlab-based communication simulation)

V-blast detection algorithm ()

说明：  GSM系统卷积码和交织编码在突发信道和AWGN信道误码特性(GSM system convolutional code and interleaved coded in the emergency channel and AWGN channel BER performance)

此程序是消噪和格型算法的比较原程序，请各位指导说明(This program is denoising algorithm and comparison of the original program of instruction, )

可用于教学和学习使用，运行后可得到简图，使用语言为matlab(Can be used for teaching and learning to use, the operation can be obtained after diagram, using language for matlab)

基于遗传算法的车间布局优化MATLAB源码(Workshop layout optimization based on genetic algorithm on MATLAB .doc)

Multi-level discrete 2-D wavelet transform with the Cohen-Daubechies-Feauveau (CDF) 9/7 wavelet.

tpdsola algorithm,Synthesized speech can be produced by several different methods. All of these have some benefits and deficiencies that are discussed in this and previous chapters. The methods are usually classified into three groups: Articulatory synthesis, which attempts to model the human speech production system directly. Formant synthesis, which models the pole frequencies of speech signal or transfer function of vocal tract based on source-filter-model. Concatenative synthesis, which uses different length prerecorded samples derived from natural speech. The formant and concatenative methods are the most commonly used in present synthesis systems. The formant synthesis was dominant for long time, but today the concatenative method is becoming more and more popular. The articulatory method is still too complicated for high quality implementations, but may arise as a potential method in the future.

用MATLAB语言编写的源码可产生正弦波表，这个就是是数字信号获得正选值的方法 (Sine table MATLAB program)