yichuansuanfa

matlab的统计回归分析，很全面的数码库，能够解觉大部分回归问题。(matlab statistical regression analysis, it is a comprehensive digital library, able to sleep most of the reunification problem solution.)

用于斜视聚束式SAR成像的非线性频率变标算法，有完整数学模型。(Nonlinear Frequency Scaling Algorithm for High Squint Spotlight SAR Data Processing)

包括遗传算法的原理介绍，及如何用matlab实现(genetic algorithm，matlab)

matlab code for space time coding

这是一个微分进化算法的实例。有兴趣可以看看。。。。(ED)

image compression using btc algorithm. matlab program. This function accepts an image(color or gray) and compresses it using the block truncation coding. (btc using image compression algorithm. Ma tlab program. This function accepts an image (c olor or gray) and compresses it using the block t runcation coding.)

MATLAB遗传算法工具箱及应用。本书系统介绍MATLAB遗传算法和直接搜索工具箱的功能特点、编程原理及使用方法。全书共分为9章。第一章至第四章介绍遗传算法的基础知识，包括遗传算法的基本原理，编码、选择、交叉、变异，适应度函数，控制参数选择，约束条件处理，模式定理，改进的遗传算法，早熟收敛问题及其防止等。(MATLAB genetic algorithm toolbox and its application. This book describes the features of MATLAB Genetic Algorithm and Direct Search Toolbox, programming principles and use. The book is divided into nine chapters. Chapter to Chapter IV describes the basics of the genetic algorithm, including the basic principles of genetic algorithm, encoding, selection, crossover and mutation, the fitness function, the control parameter selection and processing constraints, schema theorem, improved genetic algorithm, precocious convergence problem and its prevention.)

设计切比雪夫1型滤波器，对输入信号进行滤波，并观察功率谱密度(Design of Chebyshev Type 1 filter, filtering the input signal and observe the power spectral density)

In numerical linear algebra, the Gauss–Seidel method, also known as the Liebmann method or the method of successive displacement, is an iterative method used to solve a linear system of equations. It is named after the German mathematicians Carl Friedrich Gauss and Philipp Ludwig von Seidel, and is similar to the Jacobi method. Though it can be applied to any matrix with non-zero elements on the diagonals, convergence is guaranteed if the matrix is either diagonally dominant, or symmetric and positive definite.

Source separation problems in digital signal processing are those which are used to separate useful signal a mix of signals of interest, other signals and noise. The typical example of a source separation problem is the cocktail party problem, where many number of peoples are talking simultaneously in a room and a listener is trying to follow one of the discussions. The human brain can separate the voices of different people (source separation) using neurons in the auditory region. But source separation using digital signals is difficult task with the available techniques. Several approaches have been proposed for solving this issue but most of the techniques are still in development stages. Some of the successfully tested approaches are principal components analysis (PCA) and Independent components analysis (ICA). Both the approaches work well when there are no delays or echoes present