傅里叶变换 Resources

Showing items tagged with "傅里叶变换"

Image descriptions: A: Spectrum after Fourier transform; B: Spectrum after notch filter application; C: Filtered image after inverse transform (results not optimal). Ifft2: To validate the custom FFT program's correctness, used MATLAB's built-in ifft2 function for inverse transformation - output matches original image, confirming proper FFT implementation.

MATLAB 269 views Tagged

Load speech file, generate random noise, synthesize noisy speech signal, and define parameter settings. Step 2: Frame segmentation with 50% overlap. Step 3: Apply Hamming window and perform Fourier transform to obtain power spectrum and phase spectrum. Step 4: Execute magnitude spectral subtraction and use the noisy speech phase for signal resynthesis via inverse Fourier transform. Step 5: Remove Hamming window to obtain enhanced speech signal. Step 6: Calculate SNR before and after enhancement.

MATLAB 323 views Tagged