基于傅立叶变换的频率识别算法的实时实现分析

M. Bartels, S. Linfoot
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引用次数: 1

摘要

频率识别是音频信号处理和电信工程等许多工程领域的重要任务,例如在双音多频(DTMF)检测或全球定位系统(GPS)信号载波频率识别等应用中。本文将介绍在德州仪器(TI) TMS320C6713数字信号处理器(DSP)核心上实时实现的几种常见的基于傅立叶变换的频率识别算法的研究结果。此外,将评估合适的度量,以确定这些选择的算法中哪一个适合音频信号处理(1)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An analysis of real time implementation of fourier transform-based frequency recognition algorithms
Frequency recognition is an important task in many engineering fields such as audio signal processing and telecommunications engineering, for example in applications like Dual-Tone Multi-Frequency (DTMF) detection or the recognition of the carrier frequency of a Global Positioning, System (GPS) signal. This paper will present results of investigations on several common Fourier Transform-based frequency recognition algorithms implemented in real time on a Texas Instruments (TI) TMS320C6713 Digital Signal Processor (DSP) core. In addition, suitable metrics are going to be evaluated in order to ascertain which of these selected algorithms is appropriate for audio signal processing(1).
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