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Analytical Study on Real-time Algorithm of Sound /Vibration Signal in Embedded System

Author: WangJunQiang
Tutor: BiGang
School: Zhejiang University
Course: Physical Electronics
Keywords: Acoustic vibration signal Weighted sound level Octave analysis Embedded Systems
CLC: TP368.11
Type: Master's thesis
Year: 2007
Downloads: 148
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This paper introduces the embedded sound vibration signal analysis algorithm, combined with the practical work of the research, a software program designed acoustic vibration analysis instruments. In the overall framework of the system on the basis of the underlying program of research and design, including the driver of the driver for embedded systems and DSP system design and research; the second aspect of the vibro-acoustic signal processing algorithms the research and design of the application. Through a series of parameters and performance testing, and ultimately get better results. Following a brief description of each part of the thesis. The the introduction Firstly objectives and significance of this research work; sound vibration signal detection and analysis technology trends; signal processing algorithm and its application in the analysis of the embedded acoustic vibration signal analysis. Followed by introduction of the work done in the development of the subject. Detailed software and hardware overall program design system platform, the subsequent sections, respectively, from the embedded driver design the DSP the underlying program design, signal processing algorithms, acoustic vibration signal analysis instrument system design process . In theoretical research, the first of the sound vibration signal analysis, signal processing algorithms, for example, the frequency-weighted and time-weighted FFT (Fast Fourier Transform), octave and 1/3 octave carried out a detailed analysis and study and analysis of the complexity of the various algorithms are discussed. For the complexity of the octave and 1/3 octave digital filtering method through the high shortcomings the multirate design method, the method can largely reduce the complexity of the system. The paper also efficient narrow transition band FIR filter design method narrow transition band FIR band-pass filter optimized design method. The method can reduce the complexity of the filter substantially in the case of maintaining filter performance indicators, significantly improve system performance. Of the subject's hardware architecture is characterized by a the ARM DSP dual-core system, combined with its superior point DSP signal processing speed and ARM control interface and rich. Software method of acoustic vibration signal detection analysis instrument, the instrument accuracy can be controlled through software, easy to upgrade the software. The graphical user interface is built on top of Qtopia graphical user interface, user-friendly operation.

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