In this paper a technique is presented which improves the noise immunity of TSPC circuit. This technique is compared with other existing techniques. Analysis is carried out both for super and sub-threshold regions of operation. Investigations consider different performance criteria viz. n ooise immunity curve, power consumption, delay, average noise threshold energy (ANTE),

A general model is introduced which is capable of making accurate, quantitative predictions about the phase noise of different types of electrical oscillators by acknowledging the true periodically time-varying nature of all oscillators. This new approach also elucidates several previously unknown design criteria for reducing close-in phase noise by identifying the mechanisms by which intrinsic...

A general model is introduced which is capable of making accurate, quantitative predictions about the phase noise of different types of electrical oscillators by acknowledging the true periodically time-varying nature of all oscillators. This new approach also elucidates several previously unknown design criteria for reducing close-in phase noise by identifying the mechanisms by which intrinsic...

In the missing data approach to robust Automatic Speech Recognition (ASR), time-frequency regions which carry reliable speech information are identified. Recognition is then based on these regions alone. In this paper, we address the problem of identifying reliable regions and propose two criteria to solve this based on negative energy ( $ s < 0 ) and SNR ( $ s s n 2 2 2 < + ). These criteria a...

To address sparse channel estimation problem in nonGaussian impulsive noise environment, a recursive maximum correntropy criteria (RMCC) algorithm using sparse constraint is proposed to combat impulsive-inducing instability. Specifically, the recursive algorithm on the correntrioy with a forgetting factor of error at iteration is to solve steady-state error for improving the maximum correntropy...

The problem of determining the number of signals in high resolution array processing when the noise is spatially correlated (having an unknown covariance matrix) is examined. By considering a model in which two sensor arrays are well separated such that their noise outputs are uncorrelated, we develop a likelihood function whose maximum can be expressed in a very simple form involving the canon...

Noise problems in signals have gained huge attention due to the need of noise-free output signal in numerous communication systems. The principal of adaptive noise cancellation is to acquire an estimation of the unwanted interfering signal and subtract it from the corrupted signal. Noise cancellation operation is controlled adaptively with the target of achieving improved signal to noise ratio....

Significant savings can be gained from terminating the optimization of a computationally expensive function well before traditional criteria, such as a maximum budget of evaluations, are satisfied. Early termination is especially desirable for noisy functions, where a solver could potentially proceed indefinitely while seeing changes insignificant relative to the noise. In this paper we conside...

Ivannikov, Andriy Extraction of Event-Related Potentials from Electroencephalography Data Jyväskylä: University of Jyväskylä, 2009, 108 p.(+included articles) (Jyväskylä Studies in Computing ISSN 1456-5390; 109) ISBN 978-951-39-3742-3 Finnish summary Diss. The researchwork reported in this thesis addresses the issues related to denoising of event-related potentials (ERP) in multichannel electro...