数字信号处理中经典的FFT算法实现，对理解信号处理帮助很大-A Fast Fourier Transform [FFT] method for frequency sparse functions. Recovers the k most energetic frequencies hidden in a bandwidth-N function in k*polylog[N] time.

基于稀疏表示的图像模糊复原算法，利用Alternating Method以及FFT变换分别进行稀疏编码和模糊复原，复原图像的效果很好。-An algorithm for image debluring based on sparse represetation. It takes the AM and FFT for sparse coding and debluring respectively. The result get good visualization.