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本文主要研究了小波降噪在汽车中的应用,目的是对汽车内的声音进行降噪处理,主要是通过安卓操作系统来实现。其大体思路是通过实时采集环境中的声音,然后分析提取噪音,最后在输出一个与噪声相反的波形来消噪。小波分析法是我们在研究的时候用到的主要方法。小波分析就是应用其自身特性----收缩特性,对采集到的含噪信号进行多尺度分解,能同时对信号在频域和时域中处理。
This paper mainly studies the application of wavelet denoising in automobile, the purpose is to noise reduction in the car, mainly through the Android operating system. The general idea is through the acquisition of real-time sound in the environment, and then analyze the noise extraction, and finally output a waveform opposite to noise to noise. Wavelet analysis is the main method we used in our research. Wavelet analysis is the application of its own characteristics ---- shrinkage characteristics of the collected noisy signals for multi-scale decomposition, at the same time on the signal in the frequency and time domain processing.