This paper proposes a novel broad-band noise reduction technique in stereophonic situations. The method utilises a combined non-recursive multi-stage sliding subspace projection and adaptive signal enhancement. Simulation results based upon real stereophonic speech contaminated by broad-band noise components show that the proposed method yields a performance improvement in the speech enhancemen...

Efficient security management has become an important parameter in today’s world. As the problem is growing, there is an urgent need for the introduction of advanced technology and equipment to improve the state-of art of surveillance. In this paper we propose a model for real time background subtraction using AGMM. The proposed model is robust and adaptable to dynamic background, fast illumina...

A new approach to signal processing of analytical time-domain data is presented. It consists in identifying the types of noise, characterizing them, and subsequently subtracting them from the otherwise unprocessed data set. The algorithms have been successfully applied to three classes of noise commonly found in analytical signals: spikes, ripples, and baseline drift. Traditional filters have b...

Video monitoring and surveillance have been widely used in traffic surveillance system. It is important to know the road traffic density in predefined traffic videos especially in mega cities like Dhaka for signal control and effective traffic management .In this paper, I researched on vehicle density estimation and flow control for outdoor traffic surveillance is presented. A common approach i...

A novel stereophonic noise reduction method is proposed based upon a combination of cascaded subspace filters, with delay and advancing elements alternatively inserted between the adjacent cascading stages, and two-channel adaptive signal enhancers. Simulation results based upon real stereophonic speech contaminated by two correlated noise components show that the proposed method gives improved...

OBJECTIVE A novel single-lead f-wave extraction algorithm based on the modern diffusion geometry data analysis framework is proposed. APPROACH The algorithm is essentially an averaged beat subtraction algorithm, where the ventricular activity template is estimated by combining a newly designed metric, the 'diffusion distance', and the non-local Euclidean median based on the non-linear manifol...

In this paper, we evaluate a performance of in-car speech enhancement techniques with single channel signal processing and microphone array signal processing. We employ SS (Fourier Spectral Subtraction) and WSS (Wavelet Spectral Subtraction) as single channel signal processing and delay-and-sum beamformer, eigen beamformer, AMNOR (Adaptive Microphone array for NOise Reduction), S-AMNOR, Svc-AMN...

This paper presents a method to simultaneously perform 20 dB acoustic echo cancellation and 15-20 dB speech enhancement using an adaptive microphone array combined with spectral subtraction. Primarily intended for handsfree telephones in automobiles, the microphone array system simultaneously emphasizes the near-end talker and suppresses the handsfree loudspeaker and the broadband car noise. Th...

A project is reviewed which applies Electric Field Plethysmography to both respiratory and cardiac components in an equal way. Electrode positioning and signal processing are optimized in order to produce a sum-signal which finally is separated into a respiratory and a cardiac signal by means of adaptive filtering, Neural Networks, weighted subtraction or Fourier analysis, respectively. For the...

We analyze the computer vision task of pixel-level background subtraction. We present recursive equations that are used to constantly update the parameters of a Gaussian mixture model and to simultaneously select the appropriate number of components for each pixel. We also present a simple non-parametric adaptive density estimation method. The two methods are compared with each other and with s...