05-

数字信号处理－理论、算法与实现 一书中所涉及到的绝大部分算法。 Dsp_c C语言编写的算法程序。 Dsp_fortran FORTRAN语言编写的算法程序。 Dsp_matlab用MATLAB编写的信号处理程序，包含本书各个章节的 大部分例题。(" Digital Signal Processing- Theory, Algorithm and Implementation of a book related to most of the algorithm. The DSP_C C language algorithm. Dsp_fortran FORTRAN language written algorithm. Dsp_matlab prepared using MATLAB signal processing procedures, including most of the examples of the various chapters of the book.)

在matlab中，实现两幅图的联合相关变换，输出两幅图的联合相关谱。(In matlab, the implementation of two images related to transform United. Figure 2 Output of the joint transform spectrum.)

共轭梯度平方法的matlab代码，可用于解线性方程组(cgs method is used to solve linear functions)

基于S变换的短时电能质量扰动检测方法，从S变换的结果S模矩阵及S复矩阵中提取出所需数据并以此来对各种扰动情况下的电压暂降的幅值、相位跳变、持续时间和谐波含量进行分析(Disturbance detection method based on the results of short-term power quality S transform from S Mode S transform matrix and complex matrix S to extract the required data and use it to various disturbances in case of voltage dips in amplitude, phase jump variable, duration and content of harmonic analysis)

说明：  自己保存的北航的集和的sar代码 可以下载学习(Save your own beihang set and THE SAR code can be downloaded to learn)

这是一个用于线性调频雷达信号代码，可供参考(This is a code for linear FM radar signal, for reference)

几种常用的MATLAB数字信号处理的信号代码，包括LFM、FSK、BPSK、QPSK、sin等信号(matlab codes for some useful signal to study digial signal processing, includ LFMFSKBPSKQPSKsin and so on.)

基于杂交的粒子群优化函数--借鉴遗传算法的杂交概念，在每次迭代中，根据杂交概率选取指定数量的例子放入杂交池中，里面的例子随机两两杂交，产生相同数目的子代例子(Hybridization-based particle swarm optimization functions- Reference hybrid genetic algorithm concepts, in each iteration, according to the selected crossover probability into a specified number of examples of hybrid pool, examples of which twenty-two random hybridization, the same number of offspring produced example)

马尔科夫蒙特卡洛算法的MATLAB应用示例(code for MCMC in MATLAB)

This toolbox distributes processes over matlab workers available over the intranet/internet (SPMD or MPMD parallel model). It is very useful for corsely granular parallelization problems and in the precesence of a distributed and heterogeneus computer enviroment. No need for configuration files ! Cross platforms, cross OS and cross MATLAB versions. Workers can be added to the parallel computation even if it has started. No need of a common file system, all comms are using tcpip connections