Browsing by Keywords "Gaussian noise (electronic)"
Now showing items 1-9 of 9
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A complexity-reduced ML parametric signal reconstruction method
(2011)The problem of component estimation from a multicomponent signal in additive white Gaussian noise is considered. A parametric ML approach, where all components are represented as a multiplication of a polynomial amplitude ... -
Convexity properties of detection probability under additive Gaussian noise: optimal signaling and jamming strategies
(IEEE, 2013)In this correspondence, we study the convexity properties for the problem of detecting the presence of a signal emitted from a power constrained transmitter in the presence of additive Gaussian noise under the Neyman-Pearson ... -
Entropy minimization based robust algorithm for adaptive networks
(IEEE, 2012)In this paper, the problem of estimating the impulse responses of individual nodes in a network of nodes is dealt. It was shown by the previous work in literature that when the nodes can interact with each other, fusion ... -
The fractional fourier transform and its applications to image representation and beamforming
(ASME, 2003-09)The ath order fractional Fourier transform operator is the ath power of the ordinary Fourier transform operator. We provide a brief introduction to the fractional Fourier transform, discuss some of its more important ... -
Generalized approximate message-passing decoder for universal sparse superposition codes
(IEEE, 2017-06)Sparse superposition (SS) codes were originally proposed as a capacity-achieving communication scheme over the additive white Gaussian noise channel (AWGNC) [1]. Very recently, it was discovered that these codes are ... -
An image watermarking algorithm via Zero Assigned Filter Banks
(IEEE, 2005-12)In this paper a new method for digital image watermarking based on Zero Assigned Filter Banks and Embedded Zero Tree Wavelet (EZW) algorithm is presented. An image is partitioned into 128 × 128 subblocks and each block is ... -
Performance analysis of turbo codes over Nakagami-m fading channels with impulsive noise
(IEEE, 2007)The statistical characteristics of impulsive noise differ greatly from those of Gaussian noise. Hence, the performance of conventional decoders, optimized for AWGN channels is not promising in non-Gaussian environments. ... -
Performance analysis of turbo codes over Rician fading channels with impulsive noise
(IEEE, 2007)The statistical characteristics of impulsive noise differ greatly from those of Gaussian noise. Hence, the performance of conventional decoders, optimized for additive white Gaussian noise (AWGN) channels is not promising ... -
Spectrum sensing via restricted neyman-pearson approach in the presence of non-Gaussian noise
(IEEE, 2013)In this paper, spectrum sensing in cognitive radio systems is studied for non-Gaussian channels in the presence of prior distribution uncertainty. In most practical cases, some amount of prior information about signals of ...
