nonlinear_draw

Matlab图像处理函数大全 对初学者很有帮助(Matlab image processing functions Daquan helpful for beginners)

包含了一些重要的小波分析代码，其中分为6个章节。(Contains a number of important wavelet analysis code, which is divided into six chapters.)

NUCLEAR FITTING IN IMAGE PROCESSING

这使单相电机变频调速方面的MATLAB仿真资料，很好的(This allows single-phase motor VVVF MATLAB simulation aspects of information, good)

这个代码是用Matlab写的心形代码，是通过点的形式编写的，看起来很有意思。(This code is written using Matlab heart-shaped code, through the form of written, looks very interesting.)

热力学换热器，进行simulink仿真，可以设定材质以及换热系数，同理可改造成冷凝器(Thermodynamic heat exchanger, were simulink simulation, you can set the material and heat transfer coefficient, empathy can be transformed into a condenser)

线性调频信号的功率，采用MATLAB的强大的自制函数(Linear FM signal power, using MATLAB' s powerful home-made function)

matlab source code for neural network. This source helps student to understand the way to design one neural system in basic by matlab object.

clear all clc t=0:1/1000:10-1/1000 s=sin(2*pi*t) snr=20 s_power=var(s) varience of s linear_snr=10^(snr/10) factor=sqrt(s_power/linear_snr) noise=randn(1,length(s))*factor x=s+noise Ó É SNR¼ Æ Ë ã Ë æ » úÔ ë É ù x1=noise Ô ë É ùÔ ´ Ê ä È ë x2=noise w1=0 È ¨Ï µ Ê ý ³ õ Ö µ w2=0 e=zeros(1,length(x)) y=0 u=0.05 for i=1:10000 LMSË ã ·¨ y(i)=w1*x1(i)+w2*x2(i) e(i)=x(i)-y(i) w1=w1+u*e(i)*x1(i) w2=w2+u*e(i)*x2(i) end figure(1) subplot(4,1,1)

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)