基于MATLAB的音頻信號(hào)處理研究

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摘要：在通信過(guò)程中，語(yǔ)音信號(hào)在信道中經(jīng)常會(huì)被噪聲干擾，從而導(dǎo)致接收端的誤碼率增加。常見(jiàn)的干擾噪聲有高斯白噪聲和單頻噪聲等，設(shè)計(jì)一款能將干擾噪聲濾除的濾波器就成了解決此類問(wèn)題的方法，文章立足于常用的巴特沃斯濾波器和切比雪夫?yàn)V波器，實(shí)現(xiàn)對(duì)被噪聲干擾的信號(hào)的濾波。

關(guān)鍵詞：高斯白噪聲；巴特沃斯濾波器；切比雪夫?yàn)V波器

doi：10.3969/J.ISSN.1672-7274.2023.02.015

中圖分類號(hào)：TN 713，TN 972               文獻(xiàn)標(biāo)示碼：A               文章編碼：1672-7274（2023）02-00-05

Research on Audio Signal Processing Based on MATLAB

YU Zhangcheng， SUN Mengjie

（School of Electronic and Information Engineering， Nanjing University of Information Science and Technology， Nanjing 210000， China）

Abstract： During communication， voice signals are often disturbed by noise in the channel， resulting in an increase in the bit error rate at the receiving end. Common noise interference is Gaussian white noise and single-frequency noise， etc.， and designing a filter that can filter out interference noise is a solution to such problems. This paper is based on the commonly used Butterworth filter and Chebyshev filter to implement the filtering of signals disturbed by noise.

Key words： gaussian white noise; butterworth filter; chebyshev filter

0  引言

音頻信號(hào)處理，又稱音訊處理等，主要用來(lái)調(diào)整音頻信號(hào)的振幅、頻率、波形等。（剩余3119字）