【摘要】 利用小波变换理论在信噪分离方面的优点,设计出一个在有限时间内的不规则观测数据中,实时地检测出脉冲信号的检测器。并对小波函数为墨西哥帽型函数时检测器在各个时段的理论输出进行了详尽的分析。仿真结果表明,该检测器不但对理想的脉冲信号检测无误,而且能对含有有色噪声、信噪比较低的脉冲信号进行准确的识别。该信号检测器已成功应用于钢丝绳张力检测系统的数据传输电路中。更多还原

【Abstract】 With the advantage of wavelet transform theory in separating signals from noises, we design a measuring machine that can examine pulse signal at any time during the processing of observing the irregular data in a limited time. At the same time, we make a detailed analysis of the output in theory when the measuring machine runs at different time period while wavelet formula can be regarded as the Mexican cap wavelet. The imitation examination shows that, checking result of this measuring machine is correct not only for ideal pulse signal, but also the identification for the noises with color and pulse signal with low rate of signals and noises. This signal-measuring machine has been successfully used in the data delivering circuit of tension examining system of the steel wire rope.更多还原