Matlab_VC++examples

it will calculates the SNR if u give noise,clean,noisy speech files as the input it will gives the SNR.

本例源代码文件由用户按照书中的操作步骤自己生成，“Example-2-1Project_Navigator_Demo源代码”目录下为源代码的参考文件。“Example-2-1Project_Navigator_Democounter”目录下为完整的工程，包括源代码文件、综合与实现的结果文件、ISE工程文件等，可以使用ISE工程管理器打开工程，供读者参考(In this case the source code files by the user in accordance with the steps the book itself is generated, "Example-2-1 Project_Navigator_Demo source" directory as the source code reference document. "Example-2-1 Project_Navigator_Demo counter" directory for a complete project, including source code files, integrated with the realization of the outcome document, ISE project file, etc. You can use ISE Project Manager, open the project for the reader is referred to)

根据阶跃响应实验数据，利用PEM函数辨识MAF传感器的模型(experimental data and the use of PEM function identification MAF Sensor Model)

在matlab中构成不同频率的调制信号，这些函数都是以fm开头，产生常数、双曲线、线性、抛物线等频率调制信号．(in Matlab, constitute a different frequency modulation signal, these functions are beginning to fm, have a constant, hyperbolic, linear, parabolic and other frequency-modulated signal.)

fully controlled alpha controoler for power electronics

Algorithm of taylor galerkin algorithm written in MAtlab

源码是MATLAB7.0在图像处理中的应用这本书中的应用实例一：小波图像分解与合成，有关haar小波的，主程序中需要做少许改动运行会成功（可以参照书来改动）。(Source is MATLAB7.0 in the image processing application example in this book I: Wavelet image decomposition and synthesis, the haar wavelet, the main program needs to be done a little change in the run will be successful (you can refer to the book to change).)

无线通信系统中在rayleigh衰落信道下的matlab仿真源程序(wireless communication system in rayleigh fading channel simulation source of Matlab)

基于cvca模型的smm算法，用于杂波环境下的目标跟踪问题(Cvca model based on the smm algorithm, cluttered environment for target tracking problem)

This paper presents a fuzzy tuning approach to sliding mode control for tracking-performance enhancement in a class of nonlinear systems. The sliding surface can rotate or shift in the phase space in such a direction that the tracking behaviour can be improved. It is shown that with arbitrary initial conditions, the reaching time and tracking error in the approaching phase can be signi辌antly reduced. Chattering can also be reduced by fuzzy tuning of the controller parameters