sinnihewucha

matlab仿真数字通信系统2fsk调制，以及相干解调(matlab simulation of digital communication systems 2fsk modulation, and coherent demodulation)

程序给出了边缘检测及轮廓跟踪的一般方法,其是基于matlab来编写的!(procedures given the edge detection and tracking of the general contour method, is based on Matlab to prepare!)

坐标转换（四参数） [row col]=size(source) for i=1:row u(i)=source(i,2) v(i)=source(i,3) x(i)=source(i,4) y(i)=source(i,5) B(2*i-1,1)=1 B(2*i-1,2)=0 B(2*i-1,3)=u(i) B(2*i-1,4)=-v(i) B(2*i,1)=0 B(2*i,2)=1 B(2*i,3)=v(i) B(2*i,4)=u(i) L(2*i-1,1)=x(i) L(2*i,1)=y(i) end X=inv(B *B)*(B *L) Txy=[X(1) X(2)] xzjz(1,1)=X(3) xzjz(1,2)=-X(4) xzjz(2,1)=X(4) xzjz(2,2)=X(3) [row1 col1]=size(target) for i=1:row1 u1(i)=target(i,2) v1(i)=target(i,3) d=[u1(i) v1(i)] md=Txy+xzjz*d end end (Coordinate conversion： [row col]=size(source) for i=1:row u(i)=source(i,2) v(i)=source(i,3) x(i)=source(i,4) y(i)=source(i,5) B(2*i-1,1)=1 B(2*i-1,2)=0 B(2*i-1,3)=u(i) B(2*i-1,4)=-v(i) B(2*i,1)=0 B(2*i,2)=1 B(2*i,3)=v(i) B(2*i,4)=u(i) L(2*i-1,1)=x(i) L(2*i,1)=y(i) end X=inv(B *B)*(B *L) Txy=[X(1) X(2)] xzjz(1,1)=X(3) xzjz(1,2)=-X(4) xzjz(2,1)=X(4) xzjz(2,2)=X(3) [row1 col1]=size(target) for i=1:row1 u1(i)=target(i,2) v1(i)=target(i,3) d=[u1(i) v1(i)] md=Txy+xzjz*d end end )

This folder contains Matlab functions for the Enhanced Interval Approach (EIA) in: Simon Coupland, J. M. Mendel and Dongrui Wu, “Enhanced Interval Approach for Encoding Words into Interval Type-2 Fuzzy Sets and Convergence of the Word FOUs,” IEEE World Congress on Computational Intelligence, Barcelona, Spain, July 2010. All following functions were tested in Matlab 7.4.0 (R2007a) under Windows 7: centroidIT2: Compute the centroid of an IT2 FS. EKM: Implement the Enhanced KM algorithms. IA: Implement the Interval Approach for word encoding. mainJPL: Illustrate IA and EIA using the JPL dataset. mainWeb: Illustrate IA and EIA using the Web dataset. mg: Compute the membership grades of a vector of numbers on a T1 FS. plotFigures: Plot Figs. 3.18, 3.19 and 3.20 in the book. plotIT2: Plot an IT2 FS. Last modified by Dongrui Wu (dongruiw@usc.edu), May 2, 2010.

详细介绍了FFT的各类算法，并用MATLAB实现，附源码(Details of the various algorithms FFT and use MATLAB to achieve, with source code)

k-means聚类算法，很好用的。学习计算机模式的同学可以学习一下(K-means clustering algorithm, very good use.learning computer models of students can learn.)

说明：  matlab处理音频信号显示音频信号的频谱图，然后滤波，并对滤波前后音频信号的频谱图进行对比，接着对原始音频信号的频谱去掉若干个点与远视音频信号的频谱比较，最后对音频信号的频谱及相位进行三维显示(audio signal processing matlab)

one ring model in mimo system

计算多重分形非趋势波动分析matlab程序,完整的基于HMM的语音识别系统，构成不同频率的调制信号。( Calculation multifractal detrended fluctuation analysis matlab program, Complete HMM-based speech recognition system, Constituting the modulated signals of different frequencies.)

基于图像中的目标对象，详细说明了boosting算法。目标识别在图像领域可使用分类器的方法解决。(Target based on image, detailed description of the boosting algorithm. Target recognition in the field of image classification methods can be used to solve.)