Search - c l - CodeBus

Search - c l - List

[Wavelet] Wavelet-image-denoising-procedures DL : 0: 小波图像去噪程序。th=sigma*sqrt(2*log10(L*T)) 计算阈值 ch=c(1,num(4-i,1):num(4-i,3)+step(4-i)-1) 对各高频系数进行阈值处理 chl=length(ch) for j=1:chl if abs(ch(j))>=th ch(j)=sign(ch(j))*(abs(ch(j))-2*th/(1+exp(m*(ch(j)^2)))) 阈值处理函数 else -Wavelet image denoising procedures. th = sigma* sqrt (2* log10 (L* T)) calculated threshold ch = c (1, num (4-i, 1): num (4-i, 3)+ step (4-i)-1) of the high-frequency coefficients thresholding chl = length (ch) for j = 1: chl if abs (ch (j))> = th ch (j) = sign (ch (j))* (abs (ch (j))-2* th/(1+ exp (m* (ch (j) ^ 2 )))) else threshold processing function
Date : 2025-12-27 Size : 3kb User : 朱兰花
[Wavelet] decomposition DL : 0: 运行emd,得到输入信号X的固有模态函数（imf），每列代表着信号X的一阶分量，X就是我们采集的信号。 hhtdn是hht去噪的程序，可以不看，仅看emd 和 findpeaks wvtdn是wavelet去噪程序，如果只是分解信号，仅用下面的语句即可 [C,L] = wavedec(x_noise,dl,wn); x_noise就是我们采集的信号，dl是分解的阶数，wn是分解的母小波名称(% Empiricial Mode Decomposition (Hilbert-Huang Transform) % imf = emd(x) % Func : findpeaks)
Date : 2025-12-27 Size : 2kb User : dyen0019