说明：  本文介绍的是小波变换在信号趋势检测中的应用。通常情况下，一些含噪信号的发展趋势是难以分辨的。由于噪声的污染，对我们有用的信号的发展趋势在时域中看不出来，但是，通过小波分解，可以去除那些干扰信号，最终显现出有用信号的真面目。有完整的源程序和仿真结果及图形，很好的学习材料。
(This article describes the trend of wavelet transform in signal detection. Under normal circumstances, some with noise signals in the development trend is difficult to determine the. Due to noise pollution, a useful signal to our development trend in the time domain do not watch out, however, through the wavelet decomposition, which can remove interference signals, and ultimately show the true face of a useful signal. Have complete source code and simulation results and graphics, very good learning materials.)