mexopts

this algoritm is writen for some adaptive algoritms such lms and vlms algoritm o achive the adaptives and noise canslations

仿真12脉冲直流提调速系统之五，12脉冲整流matlab仿真(Simulation 12 pulsed DC mention the speed control system of five, 12-pulse rectifier matlab simulation)

本书为王永良的《空时自适应信号处理》，供有关人员下载(Wang Yongliang book for the )

说明：  这是一本有关MATLAB的参考书，适合于使用MATLAB或正在打算使用MATLAB的读者。本书另辟蹊径可以借助或不借助MATLAB随带的文档资料让读者自学MATLAB。书中口语化的风格,使读者易于阅读。本书提供了读者精通MATLAB所需的工具。作为编程语言和可视化工具,MATLAB具有丰富的一系列功能,可解决工程、科学计算和数学学科中许多问题。本书的基本目的是通过向读者展示如何有效地使用这些功能来帮助读者增强工作能力。由于MATLAB交互式的性质,书中内容以举例方式来描述。在读者阅读本书的同时, 这些例子可以通过运行MATLAB而再现。(This is a reference book about MATLAB, suitable for use or are planning to use MATLAB MATLAB readers. This book can help open a new path, or without the aid of MATLAB documentation that comes with the reader learning MATLAB. Colloquial style of the book, the reader is easy to read. This book provides readers the tools needed to master MATLAB. As a programming language and visualization tools, MATLAB has a rich range of functions, solve engineering, scientific computing and mathematical disciplines, many of the problems. The basic purpose of this book by showing readers how to effectively use these features to help readers enhance the ability to work. As the interactive nature of MATLAB, the book by way of example, to describe the content. While the reader to read the book, these examples can be reproduced by running the MATLAB. )

Frequency Shift Keying Matlab

说明：  Needleman-Wunsch algorithm Matlab.

Segmentation by growing a region from seed point using intensity mean measure.Simple but effective example of "Region Growing" from a single seed point.

语音信号的采集与处理，数字信号处理课设，MIMO OFDM matlab仿真,小波包分析提取振动信号中的特征频率。( Acquisition and Processing of the speech signal, digital signal processing class-based, MIMO OFDM matlab simulation, Wavelet packet analysis to extract vibration signal characteristic frequency.)

说明：  分割对比实验：软硬ESFCM分割结果是差不多的，但是，软ESFCM的执行时间要比硬ESFCM少很多(Split comparative experiments: hardware and software ESFCM segmentation results are similar, but the execution time of the soft ESFCM much less than the hard ESFCM)

Library for computing areas