概述
信号处理深度学习机器学习 Signal processing has given us a bag of tools that have been refined and put to very good use in the last fifty years. There is autocorrelation, convolution, Fourier and wavelet transforms, adaptive filtering via Least Mean Squares (LMS) or Recursive Least Squares (RLS), linear estimators, compressed sensing and gradient descent, to mention a few. Different tools are used to solve different problems, and sometimes, we use a combination of these tools to build a system to process signals. 信号处理为我们提供了一整套工具&# 机器学习性能与两种关键信号处理算法(快速傅里叶变换和最小均方预测)的有趣对比。 (A fun comparison of machine learning performance with two key signal processing algorithms — the Fast Fourier Transform and the Least Mean Squares prediction.)
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