CAJ | 학술논문

分析了传统滤波器方法在处理非平稳信号时的缺点，研究了小波去噪的原理和方法，研究了利用LabVIEW和Matlab混合编程的方法，将LabVIEW完美的图形编程技术和Matlab强大的的数学解算功能结合起来，实现了小波降噪的数学建模和信号图像显示。通过对振动冲击信号的滤波处理，表明了小波降噪方法在处理非平稳信号时的有效性。
분석료전통려파기방법재처리비평은신호시적결점，연구료소파거조적원리화방법，연구료이용LabVIEW화Matlab혼합편정적방법，장LabVIEW완미적도형편정기술화Matlab강대적적수학해산공능결합기래，실현료소파강조적수학건모화신호도상현시。통과대진동충격신호적려파처리，표명료소파강조방법재처리비평은신호시적유효성。
The disadvantages of traditional filters in processing non-stationary signals are analyzed. The principle and method of wavelet denoising is researched. The mixed programming with LabVIEW and Matlab is studied,the perfect graph program-ming technique of LabVIEW and the strong mathematic function of Matlab were integrated to realize the mathematical modeling and signal image displaying of denoising. Through the filtering processing of vibration impulse signals,the effectiveness of the method in processing the non-stationary signals is proved.