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希尔伯特变换mAtlAB程序

这个要取希尔伯特变换的虚部 plot ( t, imag(y) ,'r' )

n = 0:40;a = 2;b = -3;x1 = cos(2*pi*0.1*n);x2 = cos(2*pi*0.4*n);x = a*x1 + b*x2;num = [2.2403 2.4908 2.2403];den = [1 -0.4 0.75];ic = [0 0]; y1 = filter(num,den,x1,ic); % Compute the output y1[n]y2 = filter(num,den,x2,ic); % Compute the output y2[n]y =

#define PI 3.1415926 #define PI2 6.2831853#include "stdio.h"#include "math.h"/* inv=1 forward transform; inv=-1 inverse transform */fft(float sr[],float sx[],int m0,int inv){ int i,j,lm,li,k,lmx,np,lix,mm2; float t1,t2,c,s,cv,st,ct; if(m0<0) return; inv=-inv;

希尔伯特滤波器是宽带移相全通网络,每个正频率分量都移相-π/2.

希尔伯特矩阵(hilbert matrix)是一种数学变换矩阵,正定,且高度病态(即,任何一个元素发生一点变动,整个矩阵的值和逆矩阵都会发生巨大变化),病态程度和阶数

matlab里的hilbert函数出来的是一个解析信号,这个信号的实部是原信号,而虚部就是一个真正的希尔伯特变换了.看里边的help有解释.The analytic signal x = xr + i*xi has a real part, xr, which is the original data, and an imaginary part, xi, which contains the Hilbert transform.

希尔伯特变换 matalb直接可以用的 B=hilbert(A);angle(B) 相位角度

N = 1024; %样本数 fs = 1000; %采样率 t = (0:N-1)/fs; xn = sin(2*pi*100.*t); %100Hz正弦信号采样 hxn = hilbert(xn); %做希尔伯特变换%比较频谱 X = fft(xn); H = fft(hxn); subplot(221); plot(abs(X));title('原信号频谱幅值'); subplot(222); plot(

没问题,实在不行换个算法吧

这方面的内容忘得差不多了给你找一个程序 你看看吧:close all% fs=30;t=0:1/fs:200; x6=sin(2*pi*2*t)+sin(2*pi*4*t);x66 = hilbert(x6);xx = abs(x66+j*x6);figure(1)hold onplot(t,x6);plot(t,xx,'r')xlim([0 5])hold off% 包络算法,未考虑边界条件d = diff(x6);n =

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