完整的遗传算法调试代码

图像分割算法，包括matlab代码，说明文档和运行结果截图(Image segmentation algorithms, including the matlab code, documentation and operating results screenshot)

alamouti编码，mimo中空时编码基础锻炼(alamouti coding, mimo hollow exercise when the code base)

牛顿迭代算法，可以解决非线性优化问题，但是求出的是局部最优解，应用时应该注意(Newton iterative algorithm to solve nonlinear optimization problems, but find the local optimal solution, the application should be noted)

fs = 8000 t = (0:1/fs:1). x1 = cos(2*pi*t*300) x2 = cos(2*pi*t*400) ha = phased.ULA( NumElements ,10, ElementSpacing ,1) ha.Element.FrequencyRange = [100e6 300e6] fc = 150e6 x = collectPlaneWave(ha,[x1 x2],[10 20 45 60] ,fc) rng default noise = 0.1/sqrt(2)*(randn(size(x))+1i*randn(size(x))) hdoa = phased.ESPRITEstimator( SensorArray ,ha,... OperatingFrequency ,fc) doas = step(hdoa,x+noise) az = broadside2az(sort(doas),[20 60])

仿真不同占空比，等概、非等概双极性矩形随机信号的归一化功率谱密度，分析不同信号所包含的频谱分量，有无直流分量和定时分量信息 (Simulation different duty cycles, etc. There is, and so there was a non-random signal bipolar rectangular normalized power spectral density analysis of the spectral components of different signal contained, with or without DC component and timing component information)

基于区域的空间域图像融合。先对源图像作小波分解，低频分量加权平均，高频分量用模糊C均值聚类算法进行区域分割，对区域进行基于ssim值的融合，最后小波逆变换得到融合图像。(region based spatial domain method.First do the source image wavelet decomposition low frequency components weighted average of the high frequency component using Fuzzy C-means clustering algorithm region segmentation of regional integration based ssim value, and finally fused image inverse wavelet transform)

应用背景.mat格式如何转换为.dat格式。.dat数据的用途更为广泛,可用于C语言读写。在数字信号处理，特别是雷达图像处理领域，IDL的应用非常普遍，因此，如何实现MATLAB与IDL之间数据格式的转换，非常重要。关键技术转换使用读取复数的实部和虚部的方法。用于将..mat格式的数据在IDL中转换为.dat数据，也可用于将.dat数据转换为matlab中可load的.mat格式。

Digital Modulation and Demodulation

系统仿真和辨识,包括递推最小二乘法ＲＬＳ和目前先进的辨识理论，适合于系统仿真用.(system simulation and identification, including RLS recursive least squares method and the current advanced identification theory is suitable for system simulation.)

利用matlab实现图像的拼接，经过验证时可用的，可以作为图像处理简单图像拼接的应用(Using matlab to achieve image stitching, proven when available, can be used as a simple image mosaic image processing application)