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movie_cartoon
- ％电影动画： ％1.首先调用moviein函数对内存初始化.创建一个足够大的矩阵来容纳一系列指定的图形（帧） ％2.调用getframe函数生成每一帧.该函数返回一个矢量，利用这个矢量创建一个电影动画矩阵 ％3.调用movie函数按照指定速度进行指定次数的播放 ％例子2：演示如何实现快速傅立叶变换（exp(j*2*pi/n)）的可视化过程- Movie animation: 1. First transfers the moviein function to the me
FluidPipelineSimulinkModels
- These Simulink blocks contain transfer functions that model the pressure and flow transients for axisymmetric 2D viscous flow of a compressible fluid in a straight rigid circular cross section pipelines. Three models are available: (1) pressure
finalreport
- matlab实现的多个基础程序和报告并有流程图（1） 绘出正弦信号波形及频谱。 （2） 单极性归零（RZ）波形及其功率谱，占空比为50％。 （3） 升余弦滚降波形的眼图及其功率谱。滚降系数为0.5。发送码元取值为0、2。 （4） 最佳基带系统的Pe~Eb\\No曲线，升余弦滚降系数a=0.5，取样值的偏差是Ts/4。 （5） Pe~Eb\\No，升余弦滚降系数a=0.5，取样时间无偏差，但信道是多径信道，C(f)=abs(1-0.5*exp(-j*2*pi
radon_ambiguity
- ％radon transform clear all ％ N=800 n=1:N fs=200 t=n/fs x1=exp(j*2*pi*(5*t+0.5*5*t.^2)) x2=exp(j*2*pi*(5*t+0.5*15*t.^2)) x=x1+x2 ％N=length(x) ％ ambifunb(x ) ％*****************************************RAT na
blocksandnoisdopp
- 1.对染噪doppler信号进行小波包3层分解：分解层次j=1,2时，都是信号的概貌；当j=3时，反映概貌的已几乎不含噪声分量，而其它噪声分量的幅值已很小。 2.对加噪Blocks信号进行不同阈值及不同阈值的使用方式降噪。
Cspline
- 这是一个三次样条插值的.m程序 输入的是一个二维数组A(Nx2) 插值方法为: S(x) = A(J) + B(J)*( x - x(J) ) + C(J)*( x - x(J) )**2 +D(J) * ( x - x(J) )**3 for x(J) <= x < x(J + 1)
测试PSO算法的新的组合测试函数
- Novel Composition Test Functions for Numerical Global Optimization func_test.m is the main program, a basic PSO algorithm PSO_func.m is attached. SIS_novel_func.m is the function program,including six composition functions f=SIS_novel_func(x,f
Matlab 牛顿插值法
- x=a:(b-a)/n:b; %插值节点 y=f(x); plot(x,y,'b') %用蓝色线作被插函数图象 hold on z=a:(b-a)/(2*n):b; n=length(x); for j=2:n for i=n:-1:j y(i)=(y(i)-y(i-1))/(x(i)-x(i-j+1));%计算差商 end end u=y(n); m=length(z); for j=1:m for i=n-1:-1:1 u=y(i)
TVAL3
- %TVDENOISE Total variation grayscale and color image denoising % u = TVDENOISE(f,lambda) denoises the input image f. The smaller % the parameter lambda, the stronger the denoising. % % The output u approximately minimizes the Rudin-Osher-Fatemi (ROF)
Quincunx_wavelet_transforms
- Quincunx wavelet transforms Quincunx wavelets are non-separable transform that allows to avoid using vertical/horizontal wavelets. The scaling grows like 2^{j/2} with the scale j instead of 2^j, which can be advantageous. Biorthogonal quincunx w
HVEDITTT.ZIP
- To design a filter with the following specifications: a) a low pass filter with cut off 2pi/K b) use DFT modulation eq. Hk(z)=H(z) exp(-j*2*pi*(k/K)). The outputs should be shifted in the frequency domian-To design a filter with the following spe
FMINCON
- C=CURVEFIT( 拟合模型 ,参数C初值,X数据,Y数据) 求参数C使得 sum {(FUN(C,X数据)-Y数据).^2}最小化-C = CURVEFIT ( fitting model and parameter C, initial X, Y data) for data parameters that sum {there (C) (C, X-ray data- Y j ^ 2) minimizing}
Electronics-and-Circuit-Analysis-Using-MATLAB---J
- The book can be used by students, professional engineers and technicians. The first part of the book can be used as a primer to MATLAB. It will be useful to all students and professionals who want a basic introduction to MATLAB. Parts 2 and 3 a
Attia-J.O.-Electronics-and-Circuit-Analysis-Using
- The goals of writing this book are (1) to provide the reader with simple, easy, hands-on introduction to MATLAB (2) to demonstrate the use of MATLAB for solving electronics problems (3) to show the various ways MATLAB can be used to solve ci
qpsk_g_r-
- lear N = 10^5 EB_NO = [-1:30] liu1 = zeros(1,N) liu2 = zeros(1,N) for ii = 1:length(EB_NO) m= (2*(rand(1,N)>0.5)-1) + j*(2*(rand(1,N)>0.5)-1) s = (1/sqrt(2))*m normalization of energy to 1 n = 1/sqrt(2)*[randn(1,N) + j*rand
lab1
- lear N = 10^5 EB_NO = [-1:30] liu1 = zeros(1,N) liu2 = zeros(1,N) for ii = 1:length(EB_NO) m= (2*(rand(1,N)>0.5)-1) + j*(2*(rand(1,N)>0.5)-1) s = (1/sqrt(2))*m normalization of energy to 1 n = 1/sqrt(2)*[randn(1,N) + j*rand
lab2
- lear N = 10^5 EB_NO = [-1:30] liu1 = zeros(1,N) liu2 = zeros(1,N) for ii = 1:length(EB_NO) m= (2*(rand(1,N)>0.5)-1) + j*(2*(rand(1,N)>0.5)-1) s = (1/sqrt(2))*m normalization of energy to 1 n = 1/sqrt(2)*[randn(1,N) + j*rand
lab3
- lear N = 10^5 EB_NO = [-1:30] liu1 = zeros(1,N) liu2 = zeros(1,N) for ii = 1:length(EB_NO) m= (2*(rand(1,N)>0.5)-1) + j*(2*(rand(1,N)>0.5)-1) s = (1/sqrt(2))*m normalization of energy to 1 n = 1/sqrt(2)*[randn(1,N) + j*rand
field-2
- Field 2 是丹麦理工大学（Technical University of Demark）的J.A.延森（Jorgen Arendt Jenson）开发的一款超声模拟软件，该软件基于线性声场理论， 其最基本概念是空间冲击响应，最早由Tupholme和Stepannishen等提出，空间冲击响应是一个和何置相关的函数，它与换能器上的激励信号卷积，可以得到发射波到焦点的任意一点的声场。换能器接收同波信号相当与发射的逆过程，将空间的反射点作为发射源，与接收换能器的空间冲击响应卷积，从而得到回波信
wave
- 小波变换 基于小波变换的融合方法：wave.m clc A double(imread( bbb1.bmp )) A A/256 a double(imread( bbb0g.bmp )) a a/256 R I1(:,:,1) G I1(:,:,2) B I1(:,:,3) [M,N] size(I2) j 2 wavefilter db2 [CA1,CH1,CV1,CD1] dwt2(R,j, wavefilter