CAJ | 학술논문

针对传统的滤波器设计方法效率低、方法复杂、不能满足高效高精度的需要等缺点，基于 MATLAB 研究了分别使用窗函数法和双线性变换法的 FIR 和 IIR 滤波器。将加入噪声的信号分别通过两种滤波器，滤除加入的噪声，对滤波前后的信号进行对比分析。通过仿真实验表明， FIR 滤波器与 IIR 的 Butterworth 滤波器都能很好地克服传统滤波器的不足，通过语谱图直观地对比发现基于窗函数法设计 FIR 滤波器比双线性法设计的 Butterworth 滤波器能更好地达到预定的去噪效果。
침대전통적려파기설계방법효솔저、방법복잡、불능만족고효고정도적수요등결점，기우 MATLAB 연구료분별사용창함수법화쌍선성변환법적 FIR 화 IIR 려파기。장가입조성적신호분별통과량충려파기，려제가입적조성，대려파전후적신호진행대비분석。통과방진실험표명， FIR 려파기여 IIR 적 Butterworth 려파기도능흔호지극복전통려파기적불족，통과어보도직관지대비발현기우창함수법설계 FIR 려파기비쌍선성법설계적 Butterworth 려파기능경호지체도예정적거조효과。
The traditional filter design method has some shortcomings such as low efficiency and complex ,cannot satisfy the needs of high efficiency and high precision. Based on MATLAB this paper researches FIR and IIR filter that are respectively designed by the window function method and the bilinear transformation method. The signals that have noise respectively get through two kinds of filter and the noise is filtered out. It makes comparison between the original signal and the signal filtered. The simulation experiments show that the FIR filter and the Butterworth filter can overcome the shortcomings of the traditional filter. Visually compared with the language spectra, the FIR filter based on window function method can reach better denoising effect than the Butterworth filter designed by the bilinear method.