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⛄ 内容介绍
针对噪声环境比较复杂及信噪比较低时现有车辆检测算法效果较差的问题,本文提出了一种基于Gammatone滤波器的车辆声信号检测算法.根据车辆噪声的频率特性选择合适的Gammatone滤波器组,结合信号的时域信息,利用短时能量检测方法对车辆进行检测.通过一定实测信号检测结果对比,算法抗噪性能好,可检测出低信噪比下的目标,检测准确性高,加之可根据目标频率特性选择滤波器组而具有的灵活性,具有一定的实用价值.
⛄ 部分代码
function Y = shufflewins(X,W,R)
% function Y = shufflewins(X,W,R)
% X is a waveform, which is chopped into W-point windows
% which are then hanning-windowed and 50%-overlapped. These
% windows are shuffled over a radius of R points and
% ovelap-added to construct Y, a version of X with approximately
% the same average spectrum over R point windows, but scrambled
% structure over a W-point timescale.
% 2010-11-13 Dan Ellis dpwe@ee.columbia.edu
% Force W even
W = W + rem(W,2);
% Hop between windows - 50% overlap
H = W/2;
% Build 50% overlapped, windowed windows
Yw = diag(hanning(W)')*frame(X,W,H);
% Calculate reordering
%rpx = 1:size(Yw,2); % debug - identity
rpx = localperm(size(Yw,2),R/H);
% Reorder columns
Yw = Yw(:,rpx);
% Overlap-add
Y = ola(Yw,H);
Y = Y(1:length(X));
⛄ 运行结果
⛄ 参考文献
[1]吕晶晶, 赵晶亮, 刘国鹏. 基于MATLAB的振动信号去噪研究[J]. 电子测试, 2011(7):4.
