... simulation results for the following equaliza-tion algorithms.(i) MaximumLikelihood equalization using perfectchannel knowledge.(ii) Maximumlikelihood equalization with channel esti-mation ... gi,Q−1]T.3. The Baum-Welch Algorithm for Equalizationof Doubly Selective ChannelsIn this section, we present our new algorithm for semi-blind maximum- likelihood joint channel estimation ... decisions, several MAP-based algorithmscombined with recursive, RLS-based, channel estimationwere proposed [19–22]. The combination of MAP decoding and maximumlikelihood channel estimation...
... pdf at all.9.2 ALGORITHMS FOR MAXIMUMLIKELIHOOD ESTIMATIONTo perform maximumlikelihood estimation in practice, we need an algorithm toperform the numerical maximization of likelihood. In ... 9ICA by Maximum Likelihood EstimationA very popular approach for estimating the independent component analysis (ICA)model is maximumlikelihood (ML) estimation. Maximumlikelihood estimation ... 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...
... 2.3.3 Fast decoding algorithm As introduced in the previous subsection, in thewhole decoding process we have to perform n-bestCRF decoding in the segmentation step and 10 n-best CRF decoding ... measurements.Our experiments also show that the decoding time can be reduced significantly via using our fast decoding algorithm. As we have explained, with-out fast decoding, we need 11 CRF n-best decod-ing ... candidateswith low probabilities. Here we propose a no-lossfast decodingalgorithm for deciding when to stopperforming the second CRF decoding. Suppose we have a list of segmentation candi-dates...
... efficient decoding algorithm, a statistical machine translation system may miss the best translation of an input sentence even if it is perfectly predicted by the model. 2 Stack DecodingAlgorithm ... USA {yyw, waibel}@cs, cmu. edu Abstract Decoding algorithm is a crucial part in sta- tistical machine translation. We describe a stack decodingalgorithm in this paper. We present the hypothesis ... cle, so far there have no publications devoted to the decoding issue for statistical machine translation. On the other side, decodingalgorithm is a crucial part in statistical machine translation....
... stitching algorithm fortime decoding machines. IEEE Trans on Circuits Syst I. 55, 2619–2630 (2008)4. AA Lazar, EK Simonyi, LT Tóth, A Toeplitz formulation of a real-time algorithm for time decoding ... to nonuniform sampling that requires computationallycomplex decoding algorithms to recover the input signals. In the encoding and decoding process, many non-idealities in circuits and the computing ... of the bases used previously in the existing decoding algorithms is proposed.A detailed study of the non-idealities encountered inthe encoding and decoding process is carried out andreported...
... 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...
... space, we propose the followingtwo novel algorithms to reduce the complexity.4.1. Stepwise-concentrated maximum likelihood algorithm (SC-ML)The first proposed algorithm is based on the technique ... dif-ferent algorithms have been proposed. The first algorithm isbased on an iterative procedure which stepwise concentratesthe log -likelihood function, while the second is a noniter-ative algorithm ... solved. Many numerical algorithms designed for solv-ing (11) in the literature can be easily modified to carry outstep 1.4.2. Approximately concentrated maximum likelihood algorithm (AC-ML)In...
... either the frequencyor time domain. The Rife and Boorstyn (R&B) algorithm [10] belongs to the former class and provides maximum like-lihood (ML) estimates of frequency and phase errors by ... 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 ... sin(πε). (22)In the sequel the algorithm based on (20)–(22) is calledthe ML estimator (MLE).3.2. Remarks(1) Contrarily to what one might fear, the maximization ofthe likelihood function Λ(ν,...
... iterative algorithm remains the same asbefore.6. EXPERIMENTAL VERIFICATION OF THE ITERATIVE DECODING ALGORITHM In this section, we present the results of applying the itera-tive decodingalgorithm ... simplermodels and updating their posterior probabilities.4. ITERATIVE DECODING ALGORITHM This is a direct application of the turbo decoding algorithm [18]. In this section, it is assumed that the hidden ... a few specificvisemes and vice versa.5.1. Iterative decodingalgorithm in the general caseThis is an extension of the iterative decodingalgorithm aspresented in the turbo coding scenario....
... space, we propose the followingtwo novel algorithms to reduce the complexity.4.1. Stepwise-concentrated maximum likelihood algorithm (SC-ML)The first proposed algorithm is based on the technique ... dif-ferent algorithms have been proposed. The first algorithm isbased on an iterative procedure which stepwise concentratesthe log -likelihood function, while the second is a noniter-ative algorithm ... solved. Many numerical algorithms designed for solv-ing (11) in the literature can be easily modified to carry outstep 1.4.2. Approximately concentrated maximum likelihood algorithm (AC-ML)In...
... 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 ... multipitchdetection, and maximumlikelihood estimation in which weformulate the proposed approach. In particular, we followthe procedure for obtaining the maximumlikelihood estima-tor by ... estimate of the un-derlying signals’ vocal-tract-related filters using the obtainedPDF in a maximumlikelihood framework. In Table 2,nota-tions and definitions which are frequently used in this...
... Two-Stage MaximumLikelihood Estimation for MT-CDMA 59functions; the superscripts −1 and 0 on the data symbols ... Gn(G-terms with sub-scripts n), and current data bit Iq1,n, is Gaussian with theTwo-Stage MaximumLikelihood Estimation for MT-CDMA 57Serial datastreamDataencoderSerial-to-parallel dataconverterexp( ... S2/2σ2r,rep-resents the ratio of the power associated with the direct pathTwo-Stage MaximumLikelihood Estimation for MT-CDMA 63128/8256/16Coherent systemTSMLE-based system0 5 10...
... reception, optimum maximum likelihood (ML) decoding can be carried out by consideringthe hypertrellis associated with the concatenation of the twocomponent codes. Obviously, such a decoding approach ... asuboptimal, but very powerful, decoding scheme termed it-erative maximum a posteriori (MAP) decoding [3, 4]. Basi-cally, the method relies on independently decoding each ofthe component codes ... estimation fromthe EM algorithm (not from the Turbo structure itself). No-tice that one iteration of the EM algorithm (19)isperformedonly after one complete equalization and decoding step. Any-way,...
... 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...