Browsing by Keywords "White noise"
Now showing items 1-8 of 8
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Bounds on the capacity of random insertion and deletion-additive noise channels
(IEEE, 2013)We develop several analytical lower bounds on the capacity of binary insertion and deletion channels by considering independent uniformly distributed (i.u.d.) inputs and computing lower bounds on the mutual information ... -
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 ... -
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 ... -
Input sequence estimation and blind channel identification in HF communication
(IEEE, 2000)A new algorithm is proposed for reliable communication over HF tropospheric links in the presence of rapid channel variations. In the proposed approach, using fractionally space channel outputs, sequential estimation of ... -
Iterative technique for 3-D motion estimation in videophone applications
(IEEE, 1994-04)In object based coding of facial images, the accuracy of motion and depth parameter estimates strongly affects the coding efficiency. We propose an improved algorithm based on stochastic relaxation for 3-D motion and depth ... -
Lower bounds on the error probability of turbo codes
(IEEE, 2014-06-07)We present lower bounds on the error probability of turbo codes under maximum likelihood (ML) decoding. We focus on additive white Gaussian noise (AWGN) channels, and consider both ensembles of codes with uniform interleaving ... -
Optimal image restoration with the fractional Fourier transform
(OSA - The Optical Society, 1998-04)The classical Wiener filter, which can be implemented in O(N log N) time, is suited best for space-invariant degradation models and space-invariant signal and noise characteristics. For space-varying degradations and ... -
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 ...
