Single audio frequency testing method based on embedded system

An embedded system and detection method technology, applied in transmission system, speech analysis, monitoring/monitoring/test arrangement, etc., can solve problems such as large amount of calculation, large delay, and great influence on accuracy rate, and achieve small amount of calculation , reduce performance requirements, and ensure real-time effects

Inactive Publication Date: 2009-11-25
SHANGHAI UNIV
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AI Technical Summary

Problems solved by technology

Due to the large amount of calculation based on the DFT algorithm, high requirements are placed on hardware resources, and the data needs to be processed in blocks during calculation, which causes a large delay and is not conducive to real-time processing.
However, the general detection method using the Goertzel algorithm is sensitive to the amplitude of the input signal, and the change of the signal amplitude has a great influence on the accuracy of the detection result, which greatly limits its application occasions.
[0004] Although the existing audio detection algorithms ignore the amplitude change of the input signal, in practical applications, due to the signal loss and noise interference in the transmission process, the amplitude of the final input signal changes in a relatively large range.

Method used

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  • Single audio frequency testing method based on embedded system

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Embodiment Construction

[0015] A preferred embodiment of the present invention is described in detail as follows in conjunction with accompanying drawing:

[0016] see figure 1 , the single audio detection method based on an embedded system, is characterized in that: before signal processing, the input signal is classified according to the amplitude, and then the validity of the calculation results is judged respectively according to the classification, and finally the detection result is obtained.

[0017] The following is a detailed description of each step in the above example:

[0018] The first step: preprocessing of the algorithm

[0019] The preprocessing of the algorithm mainly refers to the determination of the parameters of the Goertzel algorithm. Among them, the parameters that have a greater impact on the decoding result are: the sampling rate Fs of the input signal and the number of sample points N for sampling.

[0020] 1. The sampling rate Fs of the input signal

[0021] A), genera...

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Abstract

The invention relates to a single audio frequency testing method based on an embedded system. The method comprises the following steps: firstly classifying an input signal by amplitude, and then effectively judging a computed result of CPU of the embedded system according to the classification, at last gaining a detected result. The invention has the advantages that by utilizing pre-classification of the input signal amplitude, limitation caused by using Goertzel algorithm is well solved, so that the method provided by the invention can decode any kind of input signals with different amplitudes; a total amount of calculation is small, real-time is ensured, and then the requirements of the system for performance of a digital signal processor are reduced.

Description

technical field [0001] The invention relates to the field of communication signal processing, and mainly relates to a single audio detection method based on an embedded system used in wired and wireless communication. technical background [0002] In wired and wireless communication systems, single audio signals are often used as signaling and control signals. At the same time, with the rapid development of digital signal processing technology and digital signal processing devices, more and more digital signal processing technologies are used in practical applications. The problem solved by utilizing the analog device, the present invention has a very wide application in the detection of single audio signal. [0003] Commonly used single-tone detection methods include the detection method based on the ordinary DFT algorithm and the detection method based on the Goertzel algorithm. Due to the large amount of calculation based on the DFT algorithm, high requirements are place...

Claims

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Application Information

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IPC IPC(8): G10L11/00H04B17/00H04M3/22G10L25/03
Inventor 余小清张开翼万旺根
Owner SHANGHAI UNIV
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