一个MATLAB例程，模拟高斯白噪声通过带通滤波器，生成一个窄带随机过程。
In a MATLAB routine, the Gauss white noise is simulated by a bandpass filter to generate a narrow band random process. (2018-01-22, WINDOWS, 8KB, 下载14次)
通过设计数字滤波器，实现对语音信号的检测去除噪声，加深对数字滤波器设计理解
Through the design of digital filters, to achieve the detection of voice signals to remove noise, deepen the understanding of digital filter design (2017-07-28, WINDOWS, 2KB, 下载3次)
（1）录制一段语音信号，完成对信号的采样，画出信号的时域波形和频谱图，确定信号的频谱范围；
（2）给信号叠加噪声（噪声类型分为如下几种：a白噪声；b单频噪色（正弦干扰）；c多频噪声（多正弦干扰）；d其它干扰。），画出受噪声干扰的信号时域波形和频谱图；
（3）采用窗函数法设计FIR低通滤波器，画出滤波器的频响特性图；
（4）用所设计的滤波器对受噪声影响的信号进行滤波，画出滤波后语音信号的时域波形图和频谱图；
（5）对滤波前后的信号进行对比，分析信号的变化；回放语音信号，并与原始语音信号对比。
(1) record a speech signal, complete the sampling of the signal, draw the time domain waveform and frequency spectrum of the signal, and determine the spectrum range of the signal;
(2) signal superposition noise (noise type is divided into the following: a white noise, B single frequency noise (sinusoidal interference); C multifrequency noise (multi sinusoidal interference); d other interference) Noise signal, time domain waveform and spectrogram are drawn;
(3) the FIR low-pass filter is designed by using the window function method, and the frequency response characteristic of the filter is drawn;
(4) the designed filter is used to filter the signal affected by the noise, and the time domain waveform and spectrogram of the filtered speech signal are drawn;
(5) compare the signals before and after filtering, analyze the change of the signal, replay the speech signal, and compare with the original speech signal (2017-06-27, WINDOWS, 13KB, 下载8次)