傅里叶变换 Resources

Showing items tagged with "傅里叶变换"

1. Master discrete signal spectrum analysis methods including Sequence Fourier Transform, Discrete Fourier Series, Discrete Fourier Transform, and Fast Fourier Transform, with emphasis on understanding their interrelationships and implementing them using MATLAB's fft(), ifft(), and related functions. 2. Develop practical MATLAB implementation skills for spectral analysis through hands-on coding exercises involving signal generation, windowing functions, and frequency spectrum plotting. 3. Understand FFT algorithm principles focusing on radix-2 decimation techniques and learn to apply FFT subroutines for efficient signal processing applications.

MATLAB 258 views Tagged

1. Display Fourier transform spectrum with implementation using fft2 and fftshift functions 2. Perform frequency domain low-pass filtering with comparisons of different filter functions (ideal, Gaussian, Butterworth) and parameters 3. Implement frequency domain high-pass filtering with analysis of various filter types and cutoff frequency effects

MATLAB 212 views Tagged

(1) Apply motion blur to the original image, perform Fourier transform to obtain the corresponding frequency spectrum. (2) Perform Canny operator edge detection on the motion-blurred image's frequency spectrum. (3) Apply Radon transform to the Canny edge detection result to determine motion blur direction.

MATLAB 197 views Tagged