music

盲信号分离是当前信号处理研究的热点课题之一，在无线数据通信、医学、语音以及地震信号处理等领域有着广阔的应用前景。基于负熵最大的FastICA算法用于实现盲信号分离。该方法的基本思路是以非高斯信号为研究对象，在独立性假设的前提下，对多路观测信号进行盲源分离。在满足一定的条件下，能够从多路观测信号中，较好地分离出隐含的独立源信号。(Blind signal separation is the study of signal processing, one of the hot topics in wireless data communications, medical, speech and seismic signal processing and other fields have broad application prospects. Negentropy based on the largest FastICA Algorithm for Blind Signal Separation realize. The basic idea is based on non-Gaussian signal as the research object, in the independence assumptions on the multi-channel observation signal blind source separation. In meeting certain conditions, be able to multi-channel observation signal, the better to isolate the independent source signal implied.)

Matlab implementation af Schroeder algorithm

说明：  电力系统潮流计算程序主程序，还有功能子程序(power float)

matlab 模式识别识别数据，循环处理(Matlab pattern recognition to identify data processing cycle)

differantiating two images

Example of key performance indicators applied on a real problem

基于Matlab的时间抽取基2FFT算法 (Based on the time taken Matlab-based algorithm 2FFT)

说明：  针对Z变换法无法求取相邻采样点之间的输出响应的局限，利用MATLAB程 序语言，对单位负反馈系统的改进z变换法进行了程序设计。通过simulink仿真的实验，证 明该程序运算快速、准确，使用方便。(For the Z transform method can not strike between adjacent sampling points in response to the limitations of the output, using MATLAB programming language, a negative feedback system of units of the z transform method to improve the program design. Through simulink simulation experiments show that the procedures for computing fast, accurate and easy to use.)

说明：  时隙alora和伪贝叶斯算法的形成仿真程序 matlab m文件(Alora slot and the formation of pseudo-Bayesian algorithm simulation program matlab m file)

this source code is transormers 2 code