動(dòng)態(tài)稱量信號(hào)離散小波變換數(shù)字濾波處理方法

doi:10.3969/j.issn.1000-1298.2008.7.080743

首頁(yè) > 過(guò)刊瀏覽>2008年第39卷第7期 >197-200. DOI:10.3969/j.issn.1000-1298.2008.7.080743

動(dòng)態(tài)稱量信號(hào)離散小波變換數(shù)字濾波處理方法
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                        10.3969/j.issn.1000-1298.2008.7.080743
                    
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針對(duì)動(dòng)態(tài)稱量快速準(zhǔn)確的要求，結(jié)合小波變換變分辨率的時(shí)頻聯(lián)合分析特點(diǎn)，應(yīng)用實(shí)時(shí)Mallat分解與重構(gòu)去噪算法，探討了動(dòng)態(tài)稱量信號(hào)離散小波變換實(shí)時(shí)處理方法。定量加料動(dòng)態(tài)稱量實(shí)驗(yàn)表明：小波分解去除高頻信號(hào)后，重構(gòu)出的低頻信號(hào)穩(wěn)定時(shí)間約0.128 s，相對(duì)誤差為-1.5%～2％，均優(yōu)于快速傅里葉變換法。

Abstract:

Aimed at the requirement of quick and accurate dynamic weighing, combining the characteristic of digital filter about wavelet, applying fast Mallat decomposing and constructing algorithm, a new signal processing method of dynamic weighing by discrete wavelet transform was discussed. The results of quantitative feeding dynamic weighing show that the stable time of the constructed low frequency parts is 0.128 s after wavelet decomposing wiped off high frequency parts. The error of signal construction is -1.5%～2％. The signal processing of dynamic weighing by wavelet transform can reflect the actual wei ght of material more quickly and more exactly than that by the Fourier transform. 

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張西良,楊偉玲,李萍萍,張世慶.動(dòng)態(tài)稱量信號(hào)離散小波變換數(shù)字濾波處理方法[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2008,39(7):197-200.[J]. Transactions of the Chinese Society for Agricultural Machinery,2008,39(7):197-200.

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