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Akademický článek

Design of Low Voltage Quasi-floating Self Cascode Current Mirror

Autor: P. Anil, S. Tamil, N. Raj

Publikováno v: U.Porto Journal of Engineering, Vol 7, Iss 4, Pp 33-45 (2021)

In this paper, a modified structure of self-cascode structure is proposed. In the proposed structure, the MOSFET working in saturation mode is replaced by a Quasi-floating gate MOSFET by which the threshold voltage can be scaled, resulting in an incr

Externí odkaz: https://doaj.org/article/a19ea70d94de4759a2ee99bad0082aa2

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Fundamental limit of sample generalized eigenvalue based detection of signals in noise using relatively few signal-bearing and noise-only samples

Autor: Rao, N. Raj, Silverstein, Jack W.

The detection problem in statistical signal processing can be succinctly formulated: Given m (possibly) signal bearing, n-dimensional signal-plus-noise snapshot vectors (samples) and N statistically independent n-dimensional noise-only snapshot vecto

Externí odkaz: http://arxiv.org/abs/0902.4250

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The analytic computability of the Shannon transform for a large class of random matrix channels

Autor: Rao, N. Raj

We define a class of "algebraic" random matrix channels for which one can generically compute the limiting Shannon transform using numerical techniques and often enumerate the low SNR series expansion coefficients in closed form. We describe this cla

Externí odkaz: http://arxiv.org/abs/0712.0305

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Multiplication of free random variables and the S-transform: the case of vanishing mean

Autor: Rao, N. Raj, Speicher, Roland

This note extends Voiculescu's S-transform based analytical machinery for free multiplicative convolution to the case where the mean of the probability measures vanishes. We show that with the right interpretation of the S-transform in the case of va

Externí odkaz: http://arxiv.org/abs/0706.0323

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Sample eigenvalue based detection of high dimensional signals in white noise using relatively few samples

Autor: Rao, N. Raj, Edelman, Alan

We present a mathematically justifiable, computationally simple, sample eigenvalue based procedure for estimating the number of high-dimensional signals in white noise using relatively few samples. The main motivation for considering a sample eigenva

Externí odkaz: http://arxiv.org/abs/0705.2605

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Sample size cognizant detection of signals in white noise

Autor: Rao, N. Raj, Edelman, Alan

The detection and estimation of signals in noisy, limited data is a problem of interest to many scientific and engineering communities. We present a computationally simple, sample eigenvalue based procedure for estimating the number of high-dimension

Externí odkaz: http://arxiv.org/abs/0704.3287

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Statistical eigen-inference from large Wishart matrices

Autor: Rao, N. Raj, Mingo, James A., Speicher, Roland, Edelman, Alan

Publikováno v: Annals of Statistics 2008, Vol. 36, No. 6, 2850-2885

We consider settings where the observations are drawn from a zero-mean multivariate (real or complex) normal distribution with the population covariance matrix having eigenvalues of arbitrary multiplicity. We assume that the eigenvectors of the popul

Externí odkaz: http://arxiv.org/abs/math/0701314

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The polynomial method for random matrices

Autor: Rao, N. Raj, Edelman, Alan

We define a class of "algebraic" random matrices. These are random matrices for which the Stieltjes transform of the limiting eigenvalue distribution function is algebraic, i.e., it satisfies a (bivariate) polynomial equation. The Wigner and Wishart

Externí odkaz: http://arxiv.org/abs/math/0601389

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