作者：禅与计算机程序设计艺术
1.简介
In recent years, digital signal processing has been widely used in various fields such as speech recognition, image processing, biomedical engineering, etc. The development of high-end microprocessors with faster clock speeds and more computing power have enabled the researchers to process large amounts of data at a lower cost. However, these advances were limited by the sampling rate limitation caused by finite bandwidth signals. In order to increase the frequency range where signals can be processed without loss of information or distortion, we need new techniques that are designed specifically for sub-Nyquist signals.
Sub-Nyquist signals occur when the highest possible frequencies present in an audio signal exceed the Nyquist rate (half of the sampling rate). This means that any aliasing effects introduced from beyond this point will result in distortion. To achieve better performance in terms of both quality and com