adpcm_decoder

仿真程序主体部分由c语言完成,改变运行的设定的参数，在相同的信道编码速率下，通过改变误码率，用Matlab软件进行画图，得出在相同编码速率不同误码率下的纠错后误码的比率，接着改变编码速率，重新可以划出另外的两条曲线；(simulation program from the main part of the completion c language, change the operation of the set parameters, the same channel coding rate, by changing the error rate using Matlab software for drawing, reached the same rate of different coding error rate after correction of the error rate, and then change the coding rate, can be re-drawn the other two curves;)

该代码实现的是压缩感知理论中的信号恢复问题。将压缩感知理论中的信号恢复问题转化为带参数约束的回归问题，从而利用贝叶斯理论实现参数估计，从而得到高效的重建稀疏信号。(The code to achieve the signal recovery problems in the theory of compressed sensing. Recovery issues into regression problems with parameter constraints will signal compression perception theory, Bayesian theory parameter estimation, resulting in efficient reconstruction of sparse signal.)

用Mc积分的方法来计算pi的值 有明确的程序和结果(Mc integration method used to calculate the value of pi has clear procedures and results)

说明：  思源科技出版 matlab基础与提高 7-8章 源代码(Springsoft Publishing matlab base and improve the source code of Chapter 7-8)

多重信号分类（MUSIC）算法，将信号分为信号子空间和噪声子空间，利用特征值估计频率(Multiple signal classification (MUSIC) algorithm, the signal is divided into signal subspace and noise subspace, the use of eigenvalues to estimate the frequency)

主要通过小波算法，实现对信号的分析，然后通过信号重构，实现与原信号对比。(Wavelet analysis, signal reconstruction)

提出了一种改进的基于垂直投影特征值的 分割算法(An improved vertical projection based segmentation algorithm for eigenvalue)

this code is based on ocr...

电力电子控制使用的6脉波驱动产生仿真模型(power sixpulse)

实现所示模式分类的感知器网络结构和参数，其中，“Ｏ”表示1，“×”表示0。 ，详细介绍了实现方法