平移不变小波变换在遥测数据去噪中的应用

摘要

有效去除遥测数据中的噪声，对数据的正确判读和后续处理具有重要意义。通过对遥测数据进行研究，为抑制去噪时在信号奇异点处产生的伪吉布斯现象，采用平移不变小波去噪处理遥测数据。针对传统小波阈值函数存在的缺陷，采用新阈值函数的平移不变法改善降噪效果。仿真结果表明，平移不变小波变换去噪方法提高了信噪比，降低了均方根误差，证明了该方法的有效性。%To remove the noise in telemetry data effectively is very important for interpreting the data correctly and subse-quent procession. Through studying the telemetry data,to suppress the Pesudo-Gibbs phenomenon in the singular points of the signal,the translation invariant wavelet denoising is used to deal with telemetry data. Aiming at the disadvantages of the tradi-tional wavelet threshold function,a new translation invariant denoising method of threshold function is used to improve the noise reduction effect. The simulation results show that translation invariant wavelet denoising method improved the signal to noise ra-tio and diminished the root-mean-square error. The effectiveness of this denoising method is proved.