基于變換步長的車輛壓線聲信號包絡(luò)提取算法
發(fā)布時間：2018-10-14 10:28
【摘要】：車輛經(jīng)過減速帶時與其在路面正常行駛時的聲信號波形明顯不同,其特征參數(shù)的提取對車輛數(shù)量、速度、類型等的自動判斷至關(guān)重要,聲信號包絡(luò)曲線對其特征參數(shù)的提取相比原始信號有諸多優(yōu)勢,但傳統(tǒng)包絡(luò)提取算法在此類交通領(lǐng)域聲信號包絡(luò)提取方面存在毛刺多、特征參數(shù)難以真正體現(xiàn)信號性質(zhì)和特征的問題。為解決此問題,結(jié)合車輛經(jīng)過減速帶時的聲信號特點,提出一種基于變換步長的車輛壓線聲信號包絡(luò)提取算法。該算法通過設(shè)置不同步長遍歷信號,以每個步長內(nèi)的最大值點繪制曲線并與原信號波形對比,以輪廓清晰度和特征點提取誤差值為判斷依據(jù)實現(xiàn)聲信號包絡(luò)的有效提取。實驗結(jié)果表明,在相同采樣點數(shù)條件下,所提算法比傳統(tǒng)包絡(luò)提取算法提取的包絡(luò)曲線輪廓更清晰、毛刺少,且特征參數(shù)提取誤差小。
[Abstract]:When a vehicle passes through a speed reducer, it is obviously different from the sound signal waveform of a vehicle when it is running normally on the road. The extraction of its characteristic parameters is of great importance to the automatic judgment of the number, speed and type of the vehicle, etc. Compared with the original signal, the acoustic signal envelope curve has many advantages over the original signal, but the traditional envelope extraction algorithm has many burrs in this kind of traffic field. It is difficult for the characteristic parameters to reflect the nature and feature of the signal. In order to solve this problem, an envelope extraction algorithm based on the transform step size is proposed to solve the problem, considering the characteristics of the acoustic signals of vehicles passing through the reducer. By setting different step sizes to traverse signals, the algorithm draws the curve with the maximum points in each step and compares with the original signal waveforms, and realizes the effective extraction of acoustic signal envelope according to the judgment of contour clarity and feature points extraction error. The experimental results show that the proposed algorithm is clearer than the traditional envelope extraction algorithm in extracting the contour of the envelope curve with less burr and less error in feature extraction under the same sampling points.
【作者單位】： 重慶交通大學(xué)信息科學(xué)與工程學(xué)院;重慶文化職業(yè)藝術(shù)學(xué)院基礎(chǔ)教育部;
【基金】：重慶市基礎(chǔ)科學(xué)與前沿技術(shù)研究專項(cstc2016jcyj A0345)~~
【分類號】：TN911.7;U495
本文編號：2270179
[Abstract]:When a vehicle passes through a speed reducer, it is obviously different from the sound signal waveform of a vehicle when it is running normally on the road. The extraction of its characteristic parameters is of great importance to the automatic judgment of the number, speed and type of the vehicle, etc. Compared with the original signal, the acoustic signal envelope curve has many advantages over the original signal, but the traditional envelope extraction algorithm has many burrs in this kind of traffic field. It is difficult for the characteristic parameters to reflect the nature and feature of the signal. In order to solve this problem, an envelope extraction algorithm based on the transform step size is proposed to solve the problem, considering the characteristics of the acoustic signals of vehicles passing through the reducer. By setting different step sizes to traverse signals, the algorithm draws the curve with the maximum points in each step and compares with the original signal waveforms, and realizes the effective extraction of acoustic signal envelope according to the judgment of contour clarity and feature points extraction error. The experimental results show that the proposed algorithm is clearer than the traditional envelope extraction algorithm in extracting the contour of the envelope curve with less burr and less error in feature extraction under the same sampling points.
【作者單位】： 重慶交通大學(xué)信息科學(xué)與工程學(xué)院;重慶文化職業(yè)藝術(shù)學(xué)院基礎(chǔ)教育部;
【基金】：重慶市基礎(chǔ)科學(xué)與前沿技術(shù)研究專項(cstc2016jcyj A0345)~~
【分類號】：TN911.7;U495
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1 鄒志云,張席洲,張本勇;武漢市機動車停放特征參數(shù)調(diào)查研究[J];武漢交通科技大學(xué)學(xué)報;1999年04期
，本文編號：2270179
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