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.

仿真LFM信号，针对不同采样频率下的DFT结果，观察不同时域带宽因子TBP的LFM信号频谱以及实现无误差的脉冲压缩。-Simulation LFM signal DFT results for different sampling frequencies observed the domain bandwidth factor TBP LFM signal spectrum and to achieve error-free pulse compression.