Recently, I.Cohen has presented causal and noncausal algorithms to modify the classic decision-directed approach for prior SNR. It is well-known that prior SNR is critical to trade off the musical noise level and the audible clearness level in spectral subtraction speech enhancement. However, all these algorithms conflict with statistical signal model more or less. To adjust smoothing parameter...

In this paper, we describe optimization techniques to minimize important design objectives such as delay, peak noise, delay uncertainty due to noise, power, and cost. In doing so, we employ a new system-performance simulation engine, GTX (GSRC Technology Extrapolation). We concentrate on using accurate models of both circuit and design technology. For example, we take such effects as inductance...

As CMOS technology scales into the deep submicrometer regime, digital noise is becoming a metric of importance comparable to area, timing, and power, for analysis and design of CMOS VLSI systems. Noise has two detrimental effects in digital circuits: First, it can destroy logical information carried by a circuit net. Second, it causes delay uncertainty: Noncritical paths might become critical b...

The paper is concerned with the analysis of simultaneous effect a random perturbation and white noise in coefficient system on its response. excitation 1st order described by sum deterministic signal additive noise, which partly correlated parametric noise. parameter considered statistics set realizations. It reveals that probability density these perturbations must be limited phase space, othe...

A configuration of phase noise measurement system operating in X-band (8.2-12.4 GHz) using a photonic delay line as a frequency discriminator is presented in this paper. This system doesn’t need any excellent frequency reference and works for any frequency in this band. Oscillator frequency fluctuation is converted to phase frequency fluctuation through the delay line. The measured phase noise ...

Considering the noise effect during the navigation of a two wheeled mobile robot, SVM and LS-SVM based control schemes are discussed under the measured information with uncertainty, and in the different environments. The noise effect is defined as uncertainty in the measured data. One of them focuses on using a potential function and constructing a plane surface for avoiding the local minima in...

A novel speckle reduction technique based on soft thresholding of wavelet coefficients using interval type II fuzzy system was developed for reducing speckle noise in Optical Coherence Tomography images. The proposed algorithm is an extension of a recently published method for filtering additive Gaussian noise by use of type I fuzzy system. Unlike type I, interval type II fuzzy based thresholdi...

With increasing demand of new wireless applications and increasing number of wireless user’s problem of spectrum scarcity arises. Cognitive Radio technology supports dynamic spectrum access to address spectrum scarcity problem. Reliability of cognitive operation entirely depends upon how effectively task of spectrum sensing has been performed. Spectrum sensing is a process of discovering voids ...

Standard techniques to increase automatic speech recognition noise robustness typically assume recognition models are clean trained. This “clean” training data may in fact not be clean at all, but may contain channel variations, varying noise conditions, as well as different speakers. Hence rather than considering noise robustness techniques as compensating clean acoustic models for environment...