... noncoherent decodingof turbo-like codes forthe phase-noisy channels. These schemes make use of pilotsymbols for either estimation or decoding. In [5], the authorsshowed the rotational robustness of ... DVB-S2). The severity of the phase noise dependson the quality of the local oscillators and the symbol rate.Hence the performance ofcodes on the channels with phasedisturbances are of practical significance.Over ... iterative decoding for the convergence of these codes. We also show theadditional computational complexity required due to thephase estimation process. In Section 6, we discuss the BERperformance of...
... unitmatrix.3. Maximum A Posteriori Decoding of Channels Codes The BCJR algorithm [28] provides the common frameworkto the decodingof turbo and LDPC codes as it is applied tothe decodingof the two ... Channel Codes 2.1. Turbo Codes. Focusing on the class of parallel concate-nated convolutional code (PCCC) codes, Figure 1 shows theencoder of the 3GPP-LTE turbo code. This is composed of two ... the definition of turbo and LDPC codes, and Section 3 reviews the fundamentals of the MAP decod-ing algorithm, going through the BCJR decodingof con-volutional codes, the turbo decoding principle...
... subgraph acts as a relaynode, at least one of its outgoing links and one of itsincoming links will be included in the subgraph. Otherwise,none of its links will be included in the subgraph. ... logarithmic transformation. However,the maximum multicast throughput in this case would onlyreach the value of 1.54. This is due to the fact that as aresult of the relatively high interference ... link.Recently, the problem of joint optimization of dataflow routing and resource allocation in wireless networkswhen network coding is used in the network layer has alsobecome of interest. Minimum...
... of LDPC codes have been extended to the case of Raptor codes [19]; but however, no other channel than the BEC hasbeen considered so far for the characterization of the UEPbehavior of LDPC codes. ... minimum number of iterations. Of course,the difference in error protection will be diminished with anincreased number ofdecoding iterations, and eventually van-ish with an infinite number of iterations.Let ... maxi-mization of (10) is equivalent to the maximization of dvmaxi=d(k)vminλ(Ck)i. (11)This can be interpreted as a maximization of the propor-tion of edges in the part of the parity...
... un-derlying signals.Now we apply fy(y) in a maximumlikelihood frame-work to estimate the parameters of the underlying signals.The main objective of the maximumlikelihood estimator isto find the kth ... spectrum of the mixed signal is almost ex-actly the elementwise maximumof the log spectrum of thetwo underlying signals.Table 2: Symbols with definitions.Symbol DescriptionI number of sources ... transform and ϕyisthe phase of the Fourier transform of the windowed mixedsignal, that is, ϕy= ∠yf. In this way, we obtain an estimate of xtiin a maximumlikelihood sense. It should be...
... Pietrobon and A. S. Barbulescu, “A simplification of themodified Bahl decoding algorithm for systematic convolutional codes ,” in Proceedings of International Symposium on Informa-tion Theory ... literature. The existence of a relatively large number of similar but different modified BCJR MAP algorithms,derived using the Markov chain properties ofconvolutional codes, naturally leads to ... types of codes, called turbo codes, which have demonstrated performanceclose to the theoretical limit predicted by information the-ory [2]. In the iterative decoding strategy for turbo codes, ...
... number of the action of G on X, denoted DG(X), is the smallest number of colors such thatthere exists a coloring of X where no nontrivial group element induces a color-preserving permutation of ... number of the action of G on X, denoted DG(X), is the smallest radmitting a distinguishing r-coloring of X with respect to the action of G. If there doesnot exist a distinguishing r-coloring of ... realized as actions of the automorphism group of a graph on its vertex set.Following Tymoczko, it seems natural to expand the notion of the distinguishingset of a group to include all of its possible...
... 9ICA by Maximum Likelihood EstimationA very popular approach for estimating the independent component analysis (ICA)model is maximumlikelihood (ML) estimation. Maximumlikelihood estimation ... neural network principle of maximization of information flow(infomax).9.1 THE LIKELIHOODOF THE ICA MODEL9.1.1 Deriving the likelihood It is not difficult to derive the likelihood in the noise-free ... all.9.2 ALGORITHMS FOR MAXIMUMLIKELIHOOD ESTIMATIONTo perform maximumlikelihood estimation in practice, we need an algorithm toperform the numerical maximization of likelihood. In this section,...
... INST OF TECH (FARAH COLLEGE OF ENGG AND TECH )MBARROUCHEVELLACOEDNAPVTVVITVIDYA VIKAS INST OF TECH (FARAH COLLEGE OF ENGG AND TECH )MCARROUCHEVELLACOEDNAPVTSITSSRI SIVANI INST OF ... INSTITUTE OF TECHMCAMDKOUNARSAPURCOEDNAPVTHITMHYDERABAD INST OF TECH AND MNGT (ROYAL COLLEGE OF ENGG)MBAOUMEDCHALCOEDNAPVTHITMHYDERABAD INST OF TECH AND MNGT (ROYAL COLLEGE OF ENGG)MCAOUMEDCHALCOEDNAPVTIITTINDUR ... COLLEGEMCARROUIBRAHIMPATANCOEDCHRPVTJIETJAGRUTI INST OF ENGG AND TECH (FORMERLY KNR COLLLEGE OF ENGGMBARROUIBRAHIMPATANCOEDNAPVTJJITJJ INST OF INFORMATION TECHMBARROUMAHESWARAMCOEDNAPVTJNITJAWAHARLAL NEHRU INST OF TECHMBARROUIBRAHIMPATANCOEDNAPVTJNITJAWAHARLAL...