基于减法平均的优化器Subtraction-Average-Based Optimizer

光谱减法 光谱减法Python实现。

berouti 提出的用于噪声语音信号增强的频谱减法方法。

Boll 79提出的增强含噪语音信号的频谱减法方法。该方法实现了论文中提出的频谱平均和残余降噪。 请注意，语音信号的前 0.25 秒假定仅为噪声，并用于对噪声信号进行建模。

Moving Object Detection and Segmentation using Background Subtraction by Kalman Filter

Subtraction Quiz

基于 boll 论文的降噪，基于 Esfandiar Zavarehei 的源代码，链接： https ://www.mathworks.com/matlabcentral/fileexchange/7675-boll-spectral-subtraction

Multiband_Kamath.m 说明：Kamath于2002年提出的多频带谱减法,用于调节频率减法系数以及信噪比。 注意：信号的第一个0.25sec用于噪声建模。 Description: Multiband spectral subtraction as proposed by Kamath 2002. Uses adjusts the subtraction coefficient with the frequency as well as the SNR. note that the first 0.25sec of your signal is used to model the noise. License: Shareware Related: sec, Signal, Model, Noise, Frequency, coefficient, subtraction, Spectral, proposed O/S: BSD, Linux, Solaris, Mac OS X

Pedestrian detection is a fundamental problem in video surveillance. An overwhelming majority of existing detection methods are based on sliding windows with exhaustive multi-scale scanning over the whole frame images which can achieve good accuracy but suffer from expensive computational cost. To reduce the complexity significantly while keeping high accuracy, in this paper, we propose an effective and efficient pedestrian detection method based on sliding windows with well-designed multi-scale

谱减法的语音增强程序，谱减法原理请参看 http://www.docin.com/p-104201389.html#