It is usually difficult to characterize the alternative hypothesis precisely in a log-likelihood ratio (LLR)-based speaker verification system. In a previous work, we proposed using a weighted arithmetic combination (WAC) or a weighted geometric combination (WGC) of the likelihoods of the background models instead of heuristic combinations, such as the arithmetic mean and the geometric mean, to...

We propose a new selection diversity scheme, called -selection diversity, that selects the branch providing the largest magnitude of log-likelihood ratio (LLR). The LLR for BPSK signals in fading channels is found to be proportional to the product of the fading amplitude and the matched filter output after phase compensation. The proposed -selection diversity scheme is shown to be optimal in th...

Learning Bayesian Belief Networks from corpora has been applied to the automatic acquisition of verb subcategorization frames for Modern Greek (MG). We are incorporating minimal linguistic resources, i.e morphological tagging and phrase chunking, since a general-purpose syntactic parser for MG is currently unavailable. Comparative experimental results have been evaluated against Naive Bayes cla...

In this paper, a new method for the performance evaluation of Turbo-Codes is presented. The method is based on estimating the Probability Density Function (pdf ) of the bit Log Likelihood Ratio (LLR) by using an exponential model. It is widely known that the pdf of the bit LLR is close to the normal density, and the proposed approach takes advantage of this property to simplify the calculations...

Scanty information exists pertaining to the length-weight relationship (LWR) and length-length relationship (LLR) parameters of longsnouted catfish, Plicofollis argyropleuron in lotic systems throughout the northern part of Peninsular Malaysia. It is vital to reveal these biological properties of P. argyropleuron in Kuala Muda and Merbok estuary for future management and to increase knowledge a...

In this paper, interleave-division multiple access (IDMA) is used for overloaded multiple-input multiple-output (MIMO) coded orthogonal frequency division multiplexing (OFDM) systems. An iterative interference cancellation multiuser detection (IIC-MUD) method is proposed, which has almost the same complexity but can achieve almost optimal (MAP) performance, much better than that of elementary s...

We propose a new actor-critic algorithm for reinforcement learning. The algorithm does not use an explicit actor, but learns a reference model which represents a desired behaviour, along which the process is to be controlled by using the inverse of a learned process model. The algorithm uses Local Linear Regression (LLR) to learn approximations of all the functions involved. The online learning...

--This paper investigates a new soft interference canceller (SIC) based turbo equalizer. The SIC is configured as a decision feedback (DF) equalizer that uses two linear transversal filters. Both the filters update their taps as per the least mean square (LMS) algorithm. This receiver is different from the receivers discussed in literature in the sense that it uses the soft outputs of both the ...