课设的DOA估计常用算法代码

this source code based on steganography and developed in matlab. in steganography we can hide any data like images in another image. this method based on bit plane slicing method.

说明：  基于图像灰度的图像拼接。由两幅内容有重叠的图像拼接成一幅视野更大的图像。(Image mosaic based on image gray scale. Content from the two overlapping images together into a larger image view.)

RLS自适应滤波算法及其改进算法的子函数程序。还有相关的例程展示(RLS adaptive filtering algorithm and its subfunction program.There are also related routine demonstrations.)

本文介绍了matlab常用数值函数，包括通用命令、运算符和特殊运算符、编程语言结构、基本矩阵函数和操作、基本数学函数和文件输入与输出等。(This article describes the commonly used numerical matlab functions, including general orders, operators and special operators, programming language, structure, function and basic matrix operations, and basic mathematical functions such as file input and output.)

通过反复训练模板能有较高的识别率，利用最小二乘算法实现对三维平面的拟合，FMCW调频连续波雷达的测距测角，包括四元数的各种计算,光纤陀螺输出误差的allan方差分析，关于小波的matlab复合分析。

matlab波束形成工具箱，阵列信号处理研究人员必备工具箱。-toolbox matlab beamforming, array signal processing research necessary toolbox.

PWM整流器仿真模型图 具有一定代表性-PWM

matlab OTSU 简易的大津算法 求最佳阈值的。(matlab simple algorithm seeking Otsu threshold.)

求信号功率谱密度的简单程序，并将结构保存成TXT文档(Demand signal power spectral density of simple procedures, and to save the structure into a TXT document)

说明：  本书采用案例形式，以智能算法为主线，讲解了遗传算法.免疫算法,退火算法.粒子群算法，鱼群算法,蚁群算法和神经网络算法等最常用的智能算法的MATLAB实现，本书共给出30个案例,每个案例都是一个使用智能算法解决问题的具体实例,所有案例均由理论讲解、案例背景.MATLAB程序实现和扩展阅读四个部分组成,并配有完整的程序源码。(This book uses case form and takes intelligent algorithm as the main line to explain the matlab implementation of the most commonly used intelligent algorithms, such as genetic algorithm, immune algorithm, annealing algorithm, particle swarm optimization algorithm, fish swarm algorithm, ant colony algorithm and neural network algorithm. There are 30 cases in this book, and each case is a specific example of using intelligent algorithm to solve problems, All cases are composed of theoretical explanation, case background, matlab program implementation and extended reading, and complete program source code.)