lab1

这是一本关于地球物理反演方法的经典著作《Parameter Estimation and Inverse Problems》，学地球物理的可以看看。(this book is for geophysics inverse problem base study. worth reading if you are a student of geophysics.)

粒子群优化工具箱，采用Matlab编写的PSO程序工具箱(Development Notes for psopt toolbox Future plans (in no particular order): * Performance improvement: Automatically check for existence of constraints, skip boundary-checking if unconstrained. * Performance improvement: Automatically vectorize fitness functions supplied by user, if not already vectorized. * Performance improvement: Detect and eliminate dependent (i.e. redundant) linear constraints. * Performance improvement: Automatically choose "penalize" versus "soft" constraint handling method based on type of constraints in problem. If any equality constraints exist, using "penalize", otherwise default to "soft". If "soft", automatically switch to "penalize" if more than a given percentage of particles (initial or interim) are infeasible. * Feature: An output function defined by options.OutputFcns that can save current swarm state in a file which can be reloaded later as a problem structure, in case of a system crash. * Feature: Implement multiobjective optimization option)

根据D.C.CHU提出的计算CAZAC序列的算法，计算出CHU序列的matlab程序。包括自相关函数，FFT变换后的CHU序列，以及CAZAC序列的一些特性，还提供D.C.CHU的算法原文(According to the calculation made by CAZAC sequence DCCHU algorithm to calculate the CHU sequence matlab program. Including the self-correlation function, FFT transformed CHU sequence, as well as some of the characteristics CAZAC sequence)

BP 网络具有以任意精度逼近定义在紧致子集上的任意非线性函数的能力, 因而被广泛应用于识别、预测、拟合。(BP network has to approach any degree of accuracy defined in the compact subset of the capacity of any nonlinear function, which is widely used in identification, prediction, fit.)

This contains files used for dereverberation algorithm.

一种自反馈应用的例子，用于机器人等的控制(An example of a self feedback application)

说明：  这个程序是m序列发生器,它能产生M序列 程序简明扼要 容易运行(This procedure is m sequence generator, it can produce concise and easy to process M running sequence)

用Matlab实现LMS算法 画出原始信号和处理后的信号进行对比(LMS algorithm using Matlab to draw to achieve the original signal and processed signal to compare)

SPEAKER RECOGNITION DEMO

some files for matlab