首页
学习
活动
专区
圈层
工具
发布
社区首页 >问答首页 >如何从Lanczos滤波器中获取频率窗口

如何从Lanczos滤波器中获取频率窗口
EN

Stack Overflow用户
提问于 2021-03-09 22:01:57
回答 1查看 224关注 0票数 0

我有一个Lanczos过滤器的代码:

代码语言:javascript
复制
dT = 1 % sampling interval
Cf = 1/40 % cutoff frequency
fl = 100 % ?
M = 100 % number of coefficients ? not sure about number
LoH = 1 % low pass

Nf=1/(2*dT); %Nyquist frequency

% Normalize the cut off frequency with the Nyquist frequency:
Cf = Cf/Nf;

% Lanczos cosine coeficients:
coef = lanczos_filter_coef(Cf,M); coef = coef(:,LoH);

% Filter in frequency space:
[window,Ff] = spectral_window(coef,length(vel)); Ff = Ff*Nf;

% Filtering:
[y,Cx] = spectral_filtering(vel,window);

function coef = lanczos_filter_coef(Cf,M)
% Positive coeficients of Lanczos [low high]-pass.
hkcs = lowpass_cosine_filter_coef(Cf,M);
sigma = [1 sin(pi*(1:M)/M)./(pi*(1:M)/M)];
hkB = hkcs.*sigma;
hkA = -hkB; hkA(1) = hkA(1)+1;
coef = [hkB(:) hkA(:)];
end

function coef = lowpass_cosine_filter_coef(Cf,M)
% Positive coeficients of cosine filter low-pass.
coef = Cf*[1 sin(pi*(1:M)*Cf)./(pi*(1:M)*Cf)];
end

function [window,Ff] = spectral_window(coef,N)
% Window of cosine filter in frequency space.
Ff = 0:2/N:1; window = zeros(length(Ff),1);
for i = 1:length(Ff)
    window(i) = coef(1) + 2.*sum(coef(2:end).*cos((1:length(coef)-1)'*pi*Ff(i)));
end
end

function [y,Cx] = spectral_filtering(vel,window)
% Filtering in frequency space is multiplication, (convolution in time 
% space).
Nx  = length(vel);
Cx  = fft(vel(:)); Cx = Cx(1:floor(Nx/2)+1);
CxH = Cx.*window(:);
CxH(length(CxH)+1:Nx) = conj(CxH(Nx-length(CxH)+1:-1:2)); 
y = real(ifft(CxH));
end

我需要同时绘制时间窗口和频率窗口。我得到了时间窗口,它来自coef,但我不知道哪个输出会给我频率窗口。我已经绘制了所有可能的输出变量组合,并尝试对其中一些变量进行傅里叶变换,而我所做的任何尝试都没有给出预期的数字。

EN

回答 1

Stack Overflow用户

回答已采纳

发布于 2021-03-10 14:49:39

频率窗口在输出“窗口”中,因此需要绘制(Ff,窗口)。你会得到一个在Cf (所以1/50)附近有一个强下降的图形,这是你选择的截止频率,在你将要用于低通滤波器的频率和高通滤波器的频率之间。

票数 0
EN
页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接:

https://stackoverflow.com/questions/66555418

复制
相关文章

相似问题

领券
问题归档专栏文章快讯文章归档关键词归档开发者手册归档开发者手册 Section 归档