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[matlab] Fastdiscretecurvelettransforms DL : 0: This paper describes two digital implementations of a new mathematical transform, namely, the second generation curvelet transform [12, 10] in two and three dimensions. The first digital transformation is based on unequally-spaced fast Fourier transforms (USFFT) while the second is based on the wrapping of specially selected Fourier samples. The two implementations essentially differ by the choice of spatial grid used to translate curvelets at each scale and angle. Both digitaltransformations return a table of digital curvelet coefficients indexed by a scale parameter, anorientation parameter, and a spatial location parameter. And both implementations are fast in the sense that they run in O(n2 log n) flops for n by n Cartesian arrays in addition, they are also invertible, with rapid inversion algorithms of about the same complexity.-This paper describes two digital implementations of a new mathematical transform, namely, the second generation curvelet transform [12, 10] in two and three dimensions. The first digital transformation is based on unequally-spaced fast Fourier transforms (USFFT) while the second is based on the wrapping of specially selected Fourier samples. The two implementations essentially differ by the choice of spatial grid used to translate curvelets at each scale and angle. Both digitaltransformations return a table of digital curvelet coefficients indexed by a scale parameter, anorientation parameter, and a spatial location parameter. And both implementations are fast in the sense that they run in O(n2 log n) flops for n by n Cartesian arrays in addition, they are also invertible, with rapid inversion algorithms of about the same complexity.
Date : 2026-01-09 Size : 1.14mb User : wang
[matlab] Parzen-window-method DL : 0: 此为模式识别中Parzen窗法估计概率密度函数。全部程序流程如下： 1、读取FAMALE.TXT文件把身高或体重给数组，并求x1的样本数N1和窗宽、体宽； 2、读取MALE.TXT文件把身高或体重给数组，并求x2的样本数N2和窗宽、体宽； 3、读取Test2.txt文件把对应的身高或体重给数组A并求A的样本数M； 4、利用Parzen窗法估计概率密度函数判别男女性别； 5、对本判别的错误率进行统计。 -This is the pattern recognition Parzen window method to estimate the probability density function . All program flow is as follows : 1 , read FAMALE.TXT file to height or weight to the array, and find the number of samples x1 N1 and window width , body width 2 , read MALE.TXT file to height or weight to the array, and find the number of samples x2 N2 and window width , body width 3 , read Test2.txt file to the corresponding height or weight requirements for the array A and A is the number of samples M 4 , the use of Parzen window method to estimate the probability density function of gender discrimination 5 , determine the error rate of the statistics .
Date : 2026-01-09 Size : 3kb User : 崔杉
[matlab] per DL : 0: function Px = per(x,n1,n2) PER Estimate the spectrum of a process using the periodogram --- ----- USAGE Px = per(x,n1,n2) The spectrum of a process x is estimated using the periodogram. x : input sequence n1 : starting index, x(n1) n2 : ending index, x(n2) The periodogram is returned in Px using a linear scale. If n1 and n2 are not specified the periodogram of the entire sequence is computed.-function Px = per(x,n1,n2) PER Estimate the spectrum of a process using the periodogram ----------- USAGE Px = per(x,n1,n2) The spectrum of a process x is estimated using the periodogram. x : input sequence n1 : starting index, x(n1) n2 : ending index, x(n2) The periodogram is returned in Px using a linear scale. If n1 and n2 are not specified the periodogram of the entire sequence is computed.
Date : 2026-01-09 Size : 1kb User : Rosario
[matlab] MATLAB DL : 0: function [x,n] = stepseq(n0,n1,n2)
Date : 2026-01-09 Size : 772kb User : rodrigo bacurau
[matlab] ML-estimator DL : 0: 极大似然估计器用于简单通信系统模拟,估计A1,A2: s1 = x11*A1 + x12*A2 s2 = x21*A1 = x22*A2 r1 = s1 + n1 r2 = s2 + n2-Maximum likelihood estimator for a simple communication system simulation, it is estimated that A1, A2: s1 = x11* A1+ x12* A2 s2 = x21* A1 = x22* A2 r1 = s1+ n1 r2 = s2+ n2
Date : 2026-01-09 Size : 1kb User : leiasdf
[matlab] calc24 DL : 0: 用纸牌计算24点是一种好玩的游戏，现在有了matalb程序可以自动计算24点了，你能赛过计算机吗？试试看。使用方法很简单，调用函数calc24([n1,n2,n3,n4]) 其中，n1、n2、n3、n4分别是你要计算的4个数。好吧，Let s go.-Calculated using the cards of 24 points is a fun game, now you can have the program automatically calculates matalb 24 points, you can surpass computer? Try it. Very simple to use, the transfer function calc24 ([n1, n2, n3, n4]) wherein, n1, n2, n3, n4 are the number you want to calculate 4. Okay, Let s go.
Date : 2026-01-09 Size : 1kb User : 谢齐家
[matlab] distribute_balls DL : 0: 编写一个程序，计算将n个(比如6个)小球放进4个盒子中给定4个盒子中的小球个数，比如n1=3,n2=2,n3=1,n4=0 一共有多少种不同的放法X？即输入n1,n2,n3,n4，输出方法数X 提示：先考虑将n个小球放进2个盒子中的情况写出计算方法数X的数学公式（与组合数类似）拓展 n固定，变换不同的输入参数n1,n2,n3,n4，什么时候X最大？固定盒子数目，用图形表示Xmax随n的变化规律(用plot命令) -Write a program that calculates the n (eg 6) pellets into four boxes given number of balls 4 in a box, for example, n1 = 3, n2 = 2, n3 = 1, n4 = 0 total How many different discharge method X? That input n1, n2, n3, n4, output method number X Hint: Consider the n balls into the two boxes in the case of write mathematical formulas calculated the number of X (similar to the number of combinations) to expand n fixed, converting different input parameters n1, n2, n3, n4, and when the maximum X? A fixed number of boxes, graphically shows the change in the law (with the plot command) Xmax with n of
Date : 2026-01-09 Size : 2kb User : yuyi
[matlab] C4F8-and-N2 DL : 0: A matlab code to get the temperature of gas insulated transmission line using deferential equations
Date : 2026-01-09 Size : 4kb User : yasser
[matlab] 3layer_v2 DL : 0: 三层平板介质光波导计算，该平板波导主要由3层均匀介质构成，中间的芯层折射率为n1，厚度为d，芯区生长在折射率为n2的衬底上，芯区上面的覆盖层折射率为n3。这里考虑的是n1大于n2大于n3。-Three-layer flat-plate dielectric waveguide, the flat waveguide is composed of three uniform media, the refractive index of the middle layer is n1, the thickness is d, the core area is grown on the substrate with refractive index n2, The refractive index of the layer is n3. It is considered here that n1 is greater than n2 and greater than n3.
Date : 2026-01-09 Size : 158kb User : 蒋凯
[matlab] xcorr DL : 0: 原信号s1为正弦信号，原信号s2为频率相同的另一正弦信号；对s1、s2分别加噪声n1、n2得到信号x、y；对加有噪声的x做自相关函数估计原信号；对加有噪声的x、y做互相关函数估计原叠加信号。-The original signal s1 is a sinusoidal signal, the original signal s2 is another sinusoidal signal with the same frequency On s1, s2 were added noise n1, n2 get the signal x, y Adding the noise to the x to do the autocorrelation function to estimate the original signal For the addition of noise x, y do cross-correlation function to estimate the original superposition signal.
Date : 2026-01-09 Size : 1kb User : 吴佳铭
[matlab] 层次分析 DL : 0: 层次分析法matlab实现 clc,clear fid=fopen('txt3.txt','r'); n1=6;n2=3; a=[]; for i=1:n1 tmp=str2num(fgetl(fid)); a=[a;tmp]; %读准则层判断矩阵 end for i=1:n1 str1=char(['b',int2str(i),'=[];']); str2=char(['b',int2str(i),'=[b',int2str(i),';tmp];']); eval(str1); for j=1:n2 tmp=str2num(fgetl(fid)); eval(str2); %读方案层的判断矩阵 end end ri=[0,0,0.58,0.90,1.12,1.24,1.32,1.41,1.45]; %一致性指标 [x,y]=eig(a); lamda=max(diag(y)); num=find(diag(y)==lamda); w0=x(:,num)/sum(x(:,num)); cr0=(lamda-n1)/(n1-1)/ri(n1) for i=1:n1 [x,y]=eig(eval(char(['b',int2str(i)]))); lamda=max(diag(y)); num=find(diag(y)==lamda); w1(:,i)=x(:,num)/sum(x(:,num)); cr1(i)=(lamda-n2)/(n2-1)/ri(n2); end cr1, ts=w1*w0, cr=cr1*w0(Analytic hierarchy process (AHP), MATLAB, implementation)
Date : 2026-01-09 Size : 160kb User : ddd121