本文利用小波以及小波包在数字信号处理中表现出来的优势，将其应用到变换域通信(TDCS)中。针对基于傅里叶变换估计方法无法对非平干扰进行有效估计的缺点，于是小波技术被应用于谱估计中。作为TDCS通信前端的频谱感知阶段所应用的数学工具，进行频谱感知，小波变换可以确定干扰所在频段以及创建小波基函数，用于数据传输。并且将其与其他变换方式的应用场合以及性能进行对比。并且针第二代小波良好的数据压缩性能，拟将其应用于TDCS中，对干扰频谱进行进一步压缩-The article utilized the advantages of wavelet and wavelet packet synthesis applying in the digital signal processing domain, and applied it into the Transform Domain Communication System (TDCS). To composite the shortcomings in Fourier Transform in non-stationary noise, wavelet transform are introduced. As a mathematical tool before transformation, wavelet transform will sensing the environment, locate the interference and create a fundamental modulation waveform（FMW）。Comparison with other kinds of transforms is made in this article as well. As the same time, the second generation wavelet has a good performance in data comprising, we could consider utilizing it into further lifting in the quality of the sensing period.