fixed-time signal

基本解释

Fixed with application software based on SR, the system can collect and process the faint signal on real-time on the background of strong noise.
固化基于随机共振原理的应用软件，使系统能实时采集和处理强噪声背景下的弱信号。
Time-frequency distribution(TFD) of multi-component signal can produce cross-components, TFD with fixed kernels perform well only for limited signals.
多分量信号的时频分布会产生交叉项，采用固定核函数的时频分布，其适用的信号形式有很大的局限性。
The result of simulation illustrates that the signal control method based on Q-Learning is better than fixed-time control, actuated control and signal control based on genetic algorithms.
仿真实验的结果表明，基于Q-学习的信号控制方法优于定时控制、感应式控制和基于遗传算法的信号控制方法。