论文部分内容阅读
电磁生物医学成像信号是一种非平稳信号 ,传统滤波方法会造成信号重要信息的损失。小波变换局部极大值滤波方法利用信号与噪声不同的尺度变化特性来区分信号与噪声 ,将噪声从信号中分离出来。小波变换局部极大值描述是信号的一种稳定的、近似的描述 ,可以利用交替投影算法从小波变换局部极大值描述来重构信号。 ad hoc算法是寻找小波变换对数模极大线的一种有效算法 ,在此基础上 ,提出模极大值漂移抑制方法 ,对生物医学成像仿真信号的处理结果表明 ,该方法能够获得较好的滤波效果 ,能保持脉冲信号包含的重要信息。
Electromagnetic biomedical imaging signal is a non-stationary signal, the traditional filtering method will cause the loss of signal important information. Wavelet transform local maximum filtering method uses the signal and noise characteristics of different scales to distinguish the signal and noise, the noise from the signal separation. Wavelet Transform The local maximum description is a stable, approximate description of the signal that can be reconstructed from the Wavelet Transform local maximum description using an alternating projection algorithm. Ad hoc algorithm is an efficient algorithm to find the maximum line of wavelet transform to digital-to-analog mode. On this basis, the modulo maximum value drift suppression method is proposed. The processing results of the biomedical imaging simulation signal show that this method can obtain better The filtering effect, can keep the pulse signal contains important information.