hamming-window

Hamming Filter in Frequency and Spatial Domain

由 亡梦爱人 提交于 2020-01-02 08:36:35
问题 I want to remove the Gibbs artifact in a 1D signal by applying the Hamming filter on that in MATLAB. What I have is the k1 which is the signal in frequency domain. I can get the signal in time domain by applying DFT on k1 : s1 = ifft(ifftshift(k1)); This signal has Gibbs artifact. Now, I want to remove it by (A) multiplying Hamming filter to k1 in teh frequency domain and (B) convolving IFFT of Hamming filter with s1 in the spatial domain. I am expecting same output from both of these: % (A)

Hamming Filter in Frequency and Spatial Domain

由 匆匆过客 提交于 2020-01-02 08:36:32
问题 I want to remove the Gibbs artifact in a 1D signal by applying the Hamming filter on that in MATLAB. What I have is the k1 which is the signal in frequency domain. I can get the signal in time domain by applying DFT on k1 : s1 = ifft(ifftshift(k1)); This signal has Gibbs artifact. Now, I want to remove it by (A) multiplying Hamming filter to k1 in teh frequency domain and (B) convolving IFFT of Hamming filter with s1 in the spatial domain. I am expecting same output from both of these: % (A)

Hamming Filter in Frequency and Spatial Domain

由 让人想犯罪 __ 提交于 2019-12-05 18:59:21
I want to remove the Gibbs artifact in a 1D signal by applying the Hamming filter on that in MATLAB. What I have is the k1 which is the signal in frequency domain. I can get the signal in time domain by applying DFT on k1 : s1 = ifft(ifftshift(k1)); This signal has Gibbs artifact. Now, I want to remove it by (A) multiplying Hamming filter to k1 in teh frequency domain and (B) convolving IFFT of Hamming filter with s1 in the spatial domain. I am expecting same output from both of these: % (A) Multiplying Hamming filter to `k1` n = size(k1,2); wk = hamming(n,'symmetric')'; k2 = wk.*k1; s2 = ifft

To create Hamming window of length 64 with overlap 60% in Matlab

由 本小妞迷上赌 提交于 2019-12-01 10:29:14
问题 I am trying to give for Wigner-Ville Distribution Hamming Window of length 64 with 60% overlap here. I can create Hamming window of length 64 by h=hamming(64); Here is some theoretical pieces of advice about the issue. The window seems to be some sort of convolution of three Hamming waves with 60% probability for convolution. The overlap seems to be some sort of convolution of three functions. My try for three windows and their overlaps conv(conv(hamming(64), hamming(64)), conv(hamming(64),
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