On Preconditioning of Decentralized Gradient-Descent When Solving a System of Linear Equations
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By ignoring events originating in noisy areas of a position-sensitive single-photon avalanche diode (SPAD), reduction of noise from fixed-position defects is experimentally shown. Additional experimental results from a position-sensitive SPAD integrated in ...
The extraction of information from measured data about the interactions taking place in a network of systems is a key topic in modern applied sciences. This topic has been traditionally addressed considering bivariate time series, providing methods that ar ...
This paper compares the use of perceived and measured noise in a hedonic housing model. Although in theory the use of subjective variables is recommended, most empirical applications use measured noise variables. Merging different databases, we obtain a sa ...
In this paper, we present an analytical noise modeling methodology for lateral nonuniform MOSFET. We demonstrate that the noise properties of lateral nonuniform MOSFETs are considerably different from the prediction obtained with the conventional Klaassen- ...
After years of intensive research effort, the design of RF integrated circuits in CMOS has now reached a wide acceptance for industrial designs. This is due to the high unity gain frequency and low-noise performance of today's deep sub micrometer MOS trans ...
Low frequency background noise (below 200 Hz) is perceptible in many situations such as in room acoustics or industrials issues. Generate by numerous type of source (traffic noise, aircraft, industrial plants, electricity transformer,… ), this type of nois ...
This work deals with factorial models for multiple time series. Its core content puts it at the interface between statistics and finance. After a brief description of the historical link between the two sciences, it reviews the literature on factorial mode ...
In recent work, we have shown that in a Gaussian network, nodes can often recover linear combinations of transmitted codewords much more efficiently than the codewords themselves. These nodes, after decoding their linear equations, simply send them towards ...
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We propose a new orthonormal wavelet thresholding algorithm for denoising color images that are assumed to be corrupted by additive Gaussian white noise of known intercolor covariance matrix. The proposed wavelet denoiser consists of a linear expansion of ...
Recently, sequential Monte Carlo methods have been used in the telecommunications field, finding application in receiver design. Several properties of these receivers make their designs very attractive. These receivers do not require channel state informat ...