IIR_DF_CF

System will automatically delete the directory of debug and release, so please do not put files on these two directory.

sdm pll，数据转换器中的SDM仿真(sdm pll，data conventor sdm simulate)

Transient Overvoltage in Power System

按照GPS原理与接收机设计一书，应用matlab实现kalman滤波在ＧＰＳ中的应用(GPS receiver design in accordance with the principles of the book, the application kalman filter matlab realization of GPS applications)

小波去噪方法的实现 一个小程序 绝对原创 就是简单了些 见谅 (a simple matlab denoise function)

一维水质模型，本程序研究一维河流的污染物扩散，短时间持续排放BOD的浓度变化规律 本程序采用中心隐式差分求解 问题t=0到t=1h偶然排放BOD 使河水断面L0=10mg/L河流平均速度5km/h 纵向弥散系数D=2km2/h BOD衰减系数k1=0.015h-1 解BOD浓度 L(x，t)(One-dimensional water quality model, the procedure of one-dimensional dispersion of pollutants in the river, a short continuous changes of the concentration of BOD emissions of the program implicit difference method with central issues t = 0 t = 1h accidental emissions to the BOD to the river section L0 = 10mg/L average speed of the river 5km/h vertical diffusion coefficient D = 2km2/h BOD decay coefficient k1 = 0.015h-1 Solution for BOD concentration L (x, t))

建立Jakes模型，生成Rayleigh信道。以此为基础，研究不调制，及DSPK等方式的调制下，均衡技术（尤其是迭代均衡）的给误码性能带来的增益。(To build the Jakes model,we can get the Rayleigh channel,on the basis of which we study on the benefit of equilization(Iterative equilization specially) in DSPK modulation.)

主要介绍了svm的几种算法的中的具体不同和差别,随让内容简短,但对初学者来说是非常宝贵的(Mainly introduce the SVM algorithm in several different and specific differences, with the brief for content, but for beginners it is very valuable)

本书是“MATLAB应用技术”系列丛书之一，以最新推出的MATLAB中的小波分析工具箱Wavelet Toolbox 3.0版本为基础。全书共分为三部分，第1部分着重介绍了小波理论基础，包括小波基础知识、连续小波变换、离散小波变换、多分辨率分析与正交小波变换、小波变换和多采样滤波器组、二维小波变换与图像处理及小波包的基本原理等；第2部分重点说明了小波分析工具箱的详细使用方法，包括图形用户接口、小波通用函数、一维小波变换的MATLAB实现、二维小波变换的MATLAB实现、小波包变换的MATLAB实现、信号和图像的降噪和压缩，以及最新的信号和图像的提升小波变换等内容；第3部分主要介绍了小波工具箱的应用基础，以及小波变换在语音和生物医学信号处理中、故障诊断中、数字水印中的应用方法。(This book is "MATLAB application technology" Series on one of the latest MATLAB Wavelet toolbox in the Wavelet Toolbox 3.0 version of the basis. The book is divided into three parts, Part 1 focuses on the theory of wavelet basis, including basic knowledge of wavelets, continuous wavelet transform, discrete wavelet transform, multiresolution analysis and orthogonal wavelet transform, wavelet transform and multirate filter banks, 2-dimensional wavelet transform and image processing and the basic principles of wavelet packets, etc. Part 2 highlights the detailed use of wavelet analysis toolbox methods, including graphical user interface, wavelet generic function, one-dimensional wavelet transform MATLAB realization of two-dimensional wavelet transform of the MATLAB implementation of the MATLAB implementation of wavelet packet transform, signal and image noise reduction and compression, and the latest signal and image enhancement of wavelet transform content Part 3 introduces the wavele)

RGB Imagen to HSV, it s a matlab file (.m) easier to understand