C#写的FFT变换，对信号进行时域和频域分析，大家可以-C# write FFT transform, the signal is the time domain and frequency domain analysis, everyone can see

Compressive sensing (CS) has been proposed for signals with sparsity in a linear transform domain. We explore a signal dependent unknown linear transform, namely the impulse response matrix operating on a sparse excitation, as in the linear mod

Stockwell提出的S变换管饭用于各个领域的信号分析，起源于小波变换。在语音信号处理当中等到了较为广泛的运用。- Returns the Stockwell Transform of the timeseries. Reference is Localization of the Complex Spectrum: The S Transform IEEE Transactions on Signal Processing, vol. 44., number 4, April 1996

源程序为快速傅里叶逆变换，可以修改输入数据-Inverse fast Fourier transform