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时频分析的主要研究对象是非平稳或时变信号,它能清楚地揭示信号的时变频谱特性,在信号处理中有着非常重要的作用。本文介绍了时频分析中常用的离散短时傅立叶变换(STFT)及序列维格纳变换(WD)的DSP算法及它们各自的特点和具体应用。并给出了两者在具体的信号瞬时频率估计中的应用及在Matlab上的仿真结果。
Time-frequency analysis of the main research object is non-stationary or time-varying signals, it can clearly reveal the signal time-varying spectral characteristics of signal processing has a very important role. This paper introduces the discrete-time short-time Fourier transform (STFT) and sequence-based Wiegand transform (WD) DSP algorithms commonly used in time-frequency analysis and their respective features and specific applications. The application of the two in the specific signal instantaneous frequency estimation and the simulation results in Matlab are given.