搜索结果: 1-13 共查到“应用数学 Noise”相关记录13条 . 查询时间(0.078 秒)
SINGLE-AND TWO-CHANNEL NOISE REDUCTION FOR ROBUST SPEECH RECOGNITION IN CAR
automatic speech recognition robustness car noise two-channel noise reduction
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2015/9/29
Hands-free operation of a mobile phone in car raises major challenges for acoustic enhancement algorithms and speech recognition engines. This is due to a degradation of the speech signal caused by re...
SCALABLE NON-SQUARE BLIND SOURCE SEPARATION IN THE PRESENCE OF NOISE
SCALABLE NON-SQUARE SOURCE SEPARATION PRESENCE OF NOISE
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2015/9/29
Few source separation and independent component analysis approaches attempt to deal with noisy data. Weconsider an additive noise mixing model with an arbitrary number of sensors and possibly more sou...
NON-SQUARE BLIND SOURCE SEPARATION UNDER COHERENT NOISE BY BEAMFORMING AND TIME-FREQUENCY MASKING
NON-SQUARE BLIND SOURCE SEPARATION COHERENT NOISE BY BEAMFORMING TIME-FREQUENCY MASKING
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2015/9/29
To be applicable in realistic scenarios, blind source separation approaches should deal evenly with non-square cases and the presence of noise. We consider an additive noisemixing model with an arbitr...
Comparison of Wavelet and FFT Based Single Channel Speech Signal Noise Reduction Techniques
DWT DWPT wavelet wavelet packet FFT noise control speech enhancement noise cancellation filter
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2015/9/29
This paper compares wavelet and short time Fourier transform based techniques for single channel speechsignal noise reduction. Despite success of wavelet denoising of images, it has not yet been widel...
SPEECH NOISE ESTIMATION USING ENHANCED MINIMA CONTROLLED RECURSIVE AVERAGING
noise power spectrum estimation noise control speech enhancement noise cancellation filter
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2015/9/29
Accurate noise power spectrum estimation in a noisy speech signal is a key challenge problem in speech enhancement.One state-of-the-art approach is the minima controlledrecursive averaging (MCRA). Thi...
On noise limited cellular networks
Poisson point process cellular network outage capacity
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2011/1/19
This paper introduces a general theoretical framework to analyze noise limited networks. More precisely, we consider two ho-mogenous Poisson point processes of base stations and users.
Fast transport asymptotics for stochastic RDEs with boundary noise
Multiscaling limits for stochastic reaction-diffusion equations
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2011/2/21
We consider a class of stochastic reaction-diffusion equations also having a stochastic perturbation on the boundary and we show that when the diffusion rate is much larger than the rate of reaction, ...
Optimization of operational aircraft parameters reducing noise emission
Optimization operational aircraft parameters reducing noise emission
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2010/9/20
Optimization of operational aircraft parameters reducing noise emission.
Convergence of numerical solutions to stochastic age-dependent population equations driven by non-Gaussian noise
stochastic age-dependent population equations compensated Poisson random measure
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2010/9/25
It presents and analyzes the Euler methods for stochastic age-dependent population equations driven by Poisson random jump measure; Under the Local Lipschitz condition, we prove that the Euler approxi...
On the kernel of the Black-Scholes equation in the Form of white noise
Black-Scholes equation white noise kernel
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2010/9/25
In this paper, we study the well known equation which is the Black-Scholes equation in the form of white noise. We found the kernel of such equation and obtained some interesting properties of such ke...
Molecular communication in fluid media: The additive inverse Gaussian noise channel
Molecular communication fluid media additive inverse Gaussian noise channel
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2011/1/17
We consider molecular communication, with information conveyed in the time of release of molecules.The main contribution of this paper is the development of a theoretical foundation for such a communi...
An inverse problem for the wave equation with one measurement and the pseudorandom noise
the wave equation measurement the pseudorandom noise
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2010/11/18
We consider the wave equation $(\p_t^2-\Delta_g)u(t,x)=f(t,x)$, in $\R^n$, $u|_{\R_-\times \R^n}=0$, where the metric $g=(g_{jk}(x))_{j,k=1}^n$ is known outside an open and bounded set $M\subset \R^n...
Using neural nets for eliminating noise in experimental signals
Neural nets signal processing convolution
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2010/9/15
In this paper we present a technique using feedforward neural nets to treat some types of noise frequently encountered in experimental measurements. We show that these neural nets act as inherent filt...