再抽样后，调制前，信后总要先被量化。这里提供一段程序用于解决这一问题。-after sampling, we always need to quantize the signal in order to do the modulation. here i provide a segment of code which can solve this problem

tutorial压缩感知代码。压缩感知，又称压缩采样，压缩传感。它作为一个新的采样理论，它通过开发信号的稀疏特性，在远小于Nyquist 采样率的条件下，用随机采样获取信号的离散样本，然后通过非线性重建算法完美的重建信号-The tutorial compression-aware code. Compressed sensing, also known as compressed sampling, compressed sensing. It as a new sampling theory