Simulink-model-of-a-PV-array

阵列分析和数据处理的一个典型问题是从混合的观测数据向量中恢复不可观测的各个源信号。盲信号分离是解决这个问题的一门新技术，近几年吸引了信号处理学界和神经网络学界众多学者的研究兴趣。本文对一个典型的盲信号分离问题进行了仿真实验，并研究了采用不同的自适应步长带来的影响。(Blind signal separation)

压缩传感，压缩感知，压缩采样，稀疏表达，稀疏表示，的入门例子-compressive sensing compressed sensing(compressive sensing compressed sensing)

线性调频信号 雷达发射接收 匹配滤波 等等，一些基本的代码(Linear frequency modulated radar signal transmit receive matched filtering and so on, some of the basic code )

说明：  基于matlab的数据处理归一化函数代码(Data processing normalization function code based on MATLAB)

图像局部配准,利用matlab编写实验程序。图像自选。(Local image registration, the use of experimental procedures for the preparation of matlab. Image-on-demand.)

A image with bad contrast is hard to be segmented. So this function analysis the RGB chennel, find the worse distributed chennel and fix it , then the result is a normal contrast image

bpsk modulation over awgn using viterbi decoder

输入信号采用4阶M序列的二阶系统的最小二乘一次完成算法辨识程序(Input signal using M sequence of order 4 second-order system least squares algorithm for a complete identification process)

skin color segmentation

it an Eye tracking code for starbust algorithm in matlab.