In this paper, two kinds of new time-frequency analysis approaches for non-stationary signal processing are introduced, which are wavelet transform and short-time Fourier transform.
本文介绍处理非平稳信号的新型工具——小波分析、短时付氏变换两种时频分析方法。
They are used to yield accurate estimation for the hop frequencies and hop rate, which are fast 4th-order cyclic cumulants algorithm, time-frequency backbone curve analysis, and wavelet transform.
利用快速四阶循环累积量算法、时频脊线分析与小波变换相结合的方法，实现了跳频频率和码速率等参数的高精度估计。
They are used to yield accurate estimation for the hop frequencies and hop rate, which are fast 4th-order cyclic cumulants algorithm, time-frequency backbone curve analysis, and wavelet transform.
利用快速四阶循环累积量算法、时频脊线分析与小波变换相结合的方法，实现了跳频频率和码速率等参数的高精度估计。
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