数据科学：离散小波变换（Discrete Wavelet Transformation，DWT）
The world of signal processing is a fascinating blend of mathematics, engineering, and computer science. From audio to images, and even to more abstract concepts like financial time series, the ability to manipulate and analyze signals is crucial. Among the many tools available to the signal processing engineer, the Wavelet Transform stands out due to its flexibility and adaptability. In this article, we’ll delve deep into the intuition behind wavelets, show practical examples, and provide insightful visualizations using Python.