... trans-mitted coded sequence. At reception, optimum maximum likelihood (ML) decoding can be carried out by consideringthe hypertrellis associated with the concatenation of the twocomponent codes. ... Processing 2004:5, 727–739c 2004 Hindawi Publishing Corporation Maximum Likelihood Turbo Iterative ChannelEstimation for Space-Time Coded Systemsand Its Application to Radio Transmissionin Subway ... turbo equalization, turbo channel estimation, maximumlikelihood channel estimation, GSM, sub-way tunnels.1. INTRODUCTIONRecently, the so-called Turbo codes [1, 2, 3] have revealedthemselves as...
... 9ICA by Maximum Likelihood EstimationA very popular approach for estimating the independent component analysis (ICA)model is maximumlikelihood (ML) estimation. Maximumlikelihood estimation ... 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, ... is actually equal to the likelihood. This means thatinfomax is equivalent to maximumlikelihood estimation.9.4 EXAMPLESHere we show the results of applying maximumlikelihood estimation to...
... stresses (post-processing)2.5 First problem and first MATLAB code To illustrate some of the basic concepts, and introduce the first MATLAB code, we consider a problem, illustrated in figure 2.2 ... the book. A deeper study of MATLAB can be obtained frommany MATLAB books and the very useful help of MATLAB. 1.2 MatricesMatrices are the fundamental object of MATLAB and are particularly importantin ... F-norm, ∞-normcond Conditioning number of 2-normrank Rank of a matrix2.6 New code using MATLAB structures 31This code calls solutionStructure.m which computes displacements by eliminatinglines...
... Processing,Prentice-Hall, Englewood Cliffs, NJ, USA, 1993.[12] T. T. Pham and R. J. P. DeFigueiredo, Maximum likelihood estimation of a class of non-Gaussian densities with appli-cation to Lp deconvolution,” ... Processing, vol. 37, no. 1, pp. 73–82, 1989.[13] B. T. Sieskul and S. Jitapunkul, “An asymptotic maximum likelihood for estimating the nominal angle of a spatiallydistributed source,” International ... logarithmic likelihood func tion with respectto σ2r:∂ logLy1:N; Θ, σr, pr∂σr= 0. (11)With the help of the conditional probability theorem, by(10), the logarithmic likelihood...
... results for the following equaliza-tion algorithms.(i) MaximumLikelihood equalization using perfectchannel knowledge.(ii) Maximumlikelihood equalization with channel esti-mation based only ... schemes and to perform in many cases closeto the maximum- likelihood equalizer with perfect channel knowledge. Our proposed method is also suitable for coded systemsand as a building block for Turbo ... IEEETransactions on Communications, vol. 42, no. 2–4, pp. 941–950, 1994.[12] R. A. Iltis, “A Bayesian maximum- likelihood sequence esti-mation algorithm for a priori unknown channels and symboltiming,”...
... modified to carry outstep 1.4.2. Approximately concentrated maximum likelihood algorithm (AC-ML)In Section 4.1, an iterative maximumlikelihood widebandDOA estimation algorithm is presented. ... all the constant terms,the log -likelihood function L(Ω) can be expressed asL(Ω)=−PN2log σ2−1σ2N/2k=1g(k)2. (7)It follows that the maximumlikelihood estimator for Ω issimplyΩ ... parameters by maximum likelihood, ” in Proceedingsof the IEEE International Conference on Acoustics, Speech andSignal Processing (ICASSP ’86), pp. 2819–2822, Tokyo, Japan,1986.[8] A. G. Jaffer, “Maximum...
... determines the locationνMof the maximum over this set. The second step (fine search) makes an inter-polation between the samples P(νn) and computes the local maximum nearest toνM. It should ... might fear, the maximization ofthe likelihood function Λ(ν, ε, ϕ) needs not be made on athree-dimensional domain. Actually, the location (ν, ε, ϕ)ofthe maximum can be found through simple ... and NetworkingVolume 2007, Article ID 65058, 8 pagesdoi:10.1155/2007/65058Research Article Maximum Likelihood Timing and Carrier Synchronization inBurst-Mode Satellite TransmissionsMichele...
... modified to carry outstep 1.4.2. Approximately concentrated maximum likelihood algorithm (AC-ML)In Section 4.1, an iterative maximumlikelihood widebandDOA estimation algorithm is presented. ... all the constant terms,the log -likelihood function L(Ω) can be expressed asL(Ω)=−PN2log σ2−1σ2N/2k=1g(k)2. (7)It follows that the maximumlikelihood estimator for Ω issimplyΩ ... stepwise concentratesthe log -likelihood function, while the second is a noniter-ative algorithm that maximizes the derived approximately-concentrated (AC) log -likelihood function.The rest...
... 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 ... mixture,(iv) decode the two Gaussian mixture’s mean vectorswhich satisfy the maximumlikelihood criterion(23) described in Section 7,(v) recover the underlying signals using the decodedmean vectors, ... multipitchdetection, and maximumlikelihood estimation in which weformulate the proposed approach. In particular, we followthe procedure for obtaining the maximumlikelihood estima-tor by...
... and current data bit Iq1,n, is Gaussian with theTwo-Stage MaximumLikelihood Estimation for MT-CDMA 57Serial datastreamDataencoderSerial-to-parallel dataconverterexp( jω0t)exp( jω1t)exp( ... estimates of the data bit values are com-puted. These estimated data bits are decoded at the output ofthe decoder according to their signs.TSMLE provides manifold advantages. As pointed out ... October 2003; Revised 15 March 2004This paper proposes a two-stage maximumlikelihood estimation (TSMLE) technique suited for multitone code division multipleaccess (MT-CDMA) system. Here, an analytical...
... nextsection, which will be shown to compare favorably to the in-direct method of [15].3. APPROXIMATE MAXIMUMLIKELIHOOD ESTIMATE3.1. DerivationConsider first the problem of estimating v0without knowl-edge ... pp. 67–94, 1996.[10] J. W. Betz, “Comparison of the deskewed short-time cor-relator and the maximumlikelihood correlator,” IEEETrans. Acoustics, Speech, and Signal Processing, vol. 32, no. 2,pp. ... Trans. Acoustics,Speech, and Signal Processing, vol. 29, no. 3, 1981.[13] J. A. Stuller, Maximum- likelihood estimation of time-varying delay—part I,” IEEE Trans. Acoustics, Speech, and Sig-nal...
... Journal on Applied Signal Processing 2004:12, 1762–1769c 2004 Hindawi Publishing CorporationA MaximumLikelihood Approach to Least AbsoluteDeviation RegressionYinbo LiDepartment of Electrical ... the optimization needed to solve theLAD regression problem can be viewed as a sequence of maximumlikelihood estimates (MLE) of location. The derived algorithmreduces to an iterative procedure ... implementation complexity.Keywords and phrases: least absolute deviation, linear regression, maximumlikelihood estimation, weighted median filters.1. INTRODUCTIONLinear regression has long been...
... Feature Analysis under Speckle with MaximumLikelihood 24853020100Iteration−56−55−54−53−52−51Reduced log -likelihood Figure 9: Function evaluation at iterations of ... situation (2) (denoted z2). For each sample, the likelihood function was computed and, in order to visualizeFeature Analysis under Speckle with MaximumLikelihood 2489250200150100500Sample−15−10−50α(a)250200150100500Sample−14−12−10−8−6−4−20α(b)250200150100500Sample−25−20−15−10−50α(c)250200150100500Sample−40−30−20−100α(d)Figure ... and used to choose a strategy for computing maximumlikelihood estimatesthat is resistant to outliers.Keywords and phrases: image analysis, inference, likelihood, computation, optimization.1....
... byrestricted maximum Likelihood. Genet Select Evol 23, 67-83Meyer K (1992) DFREML Version 2.1 - Programs to Estimate Variance Componentsby Restricted Maximum Likelihood Using ... parameters was no more than 6p times thatfor a likelihood evaluation.MAXIMISING THE LIKELIHOOD Methods to locate the maximum of the likelihood function in the context ofvariance ... derivative-free algorithm.restricted maximum likelihood / derivative / algorithm / variance component esti-mationRésumé - Estimation du maximum de vraisemblance restreinte...