Speech enhancement is widely used to improve the perceptual quality of noisy speech by suppressing the interfering ambient noise and is commonly evaluated via objective quality measures. Automatic speech recognition (ASR) systems also use such speech enhancement technologies in front-end to improve their noise robustness. If the objective measures have a high correlation with speech recognition...

This paper addresses the problem of impulsive noise cancellation in digital signal area. The myriad and meridian filters are the type of robust filters which are very useful in suppressing the impulsive type of noise. The cost functions of theses filters have very similar structure. In this paper the generalized filter based on Lp norm is presented. The proposed filter operates in a wide range ...

Advances in speech synthesis have exposed the vulnerability of spoofing countermeasure (CM) systems. Adversarial attacks exacerbate this problem, mainly due to reliance most CM models on deep neural networks. While research adversarial anti-spoofing systems has received considerable attention, there is a relative scarcity studies focused developing effective defense techniques. In study, we pro...

The paper considers the multipath signal and noise reduction problem in passive radar. A unified framework is provided for joint of signals both Gaussian non-Gaussian circumstances. traditional clutter cancellation methods are incorporated this corresponding to circumstance. Based on framework, a method (JRM) developed suppressing noise. Specifically, explicitly discussed. Analytical analysis p...

Noise Suppression from images is one of the most important concerns in digital image processing. Impulsive noise is one such noise, which may corrupt images during their acquisition or transmission or storage etc. A variety of techniques are reported to remove this type of noise. It is observed that techniques which follow the two stage process of detection of noise and filtering of noisy pixel...

A new threshold decomposition architecture is introduced to implement stack filters. The architecture is also generalized to a new class of nonlinear filters known as threshold decomposition (TD) filters which are shown to be equivalent to the class of L1-filters under certain conditions. Another new class of filters known as linear and order statistic (LOS) filters result from the intersection...

Noise in an image can affect one’s extraction of information, therefore, denoising is important pre-processing process. Many the existing models have a large number estimated parameters, which increases time complexity model solution and achieved effect less than ideal. As result, this paper, improved image-denoising algorithm proposed based on TV model, effectively solves above problems. The L...

This paper studies the impact of installing noise-suppressing deflector vanes in the bypass flow on the aerodynamic performance of the dual-stream supersonic nozzle of a turbofan engine by using a three-dimensional Reynolds-averaged Navier-Stokes computer program. A series of nozzle configurations using a single pair or double pairs of vanes with NACA0012, NACA4412, and NACA7514 airfoil profile...

This paper presents a system aiming at joint dereverberation and noise reduction by applying a combination of a beamformer with a single-channel spectral enhancement scheme. First, a minimum variance distortionless response beamformer with an online estimated noise coherence matrix is used to suppress noise and reverberation. The output of this beamformer is then processed by a single-channel s...

Common philosophy in control theory is the control of disorder by order. It is not exceptional for strategies suppressing quantum decoherence. Here we predict an anomalous quantum phenomenon. Suppression of decoherence can be made via more disordered white noise field, in particular white Poissonian noise. The phenomenon seems to be another anomaly in quantum mechanics, and may offer a new stra...