Maximum a Posteriori
Maximum a posteriori (MAP) based tag estimation method for dynamic framed slotted ALOHA (DFSA) in RFID systems
... Radio frequency identification (RFID) is a non-contact technology that uses radio frequency electromagnetic fields to transfer data from a tag attached to an object, for the purposes of automatic identification and ...
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Cooperative node selection in virtual MIMO based wireless sensor network using maximum a posteriori estimation
... A wireless sensor network is a low-cost, low-power network. Because of its multi functionality, it is suitable for wide range of applications. In recent years, the research has focussed interest in to reducing energy ...
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Improving a Single Down-Sampled Image Using Probability-Filtering-Based Interpolation and Improved Poisson Maximum A Posteriori Super-Resolution
... Poisson maximum a posteriori (MAP) super-resolution to respectively enhance high spatial and spatial-frequency res- olutions of a single down-sampled ...
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Low-Power Maximum a Posteriori (MAP) Algorithm for WiMAX Convolutional Turbo Decoder
... traceback maximum a posteriori algorithm (MAP) decoding provides the best performance in terms of bit error rate (BER) and reduce the power consumption of the state metric cache (SMC) without losing the ...
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Speaker adaptation in the maximum a posteriori framework based on the probabilistic 2-mode analysis of training models
... In this article, we describe a speaker adaptation method based on the probabilistic 2-mode analysis of training models. Probabilistic 2-mode analysis is a probabilistic extension of multilinear analysis. We apply ...
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Assessment of Maximum A Posteriori Image Estimation Algorithms for Reduced Acquisition Time Medical Positron Emission Tomography Data
... A key contribution of this study is to show the difficulty in the choice of a suitable prior parameter with low-count data. Even though the MAP estimates with the highest prior parameter values have low RMSE the images ...
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Word Embedding as Maximum A Posteriori Estimation
... Various word embedding models have already been proposed in the lit- erature, including approaches inspired by neural language models, such as Skipgram (SG) and the Continuous Bag- of-Wo[r] ...
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Modified Maximum A Posteriori Algorithm For Iterative Decoding of Turbo codes
... The proposed algorithm results in savings in the required memory size and leads to a power efficient implementation of MAP algorithm in channel coding.. Key words: Turbo codes, Iterati[r] ...
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Robust and adaptive receiver design for wireless communication systems
... LDPC Low-Density Parity Check Code LSM Likelihood Separation vIetric MA M-algorithm MAP Maximum a posteriori probability MF Matched Filter MLSD \llaximum Likelihood Sequence Detection MM[r] ...
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Economic fluctuations in 2013-14: Review on Indian Economic Conditions
... Even if a blurred image does not contain many edges in different orientations, however, this approach can still exploit kernel projections. As a second contribution, this work introduces a proposed Radon transform ...
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Hybrid PET-MR list-mode kernelized expectation maximization reconstruction
... the maximum a posteriori one step late with median root prior (OSMAPOSL- MRP) and the parallel level sets (to be referred to as MRP and PLS), and the KEM using the MR image ...
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A Translational Pharmacokinetic Rat Model of Cerebral Spinal Fluid and Plasma Concentrations of Cefepime
... median maximum a posteriori probability (MAP) Bayesian cefepime plasma and CSF concentration estimates at 12-min intervals over the 24-h study period using each animal’s measured cefepime concentrations, ...
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Enhancing Channel Coding using AES Block Cipher
... The soft-in, soft-out (SISO) decoding is used as soft decode algorithm. The SISO decoder receives a soft real value of the signal as input. The decoder then deduces an estimation for each data bit expressing the ...
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Fixed-Point MAP Decoding of Channel Codes
... the maximum a posteriori (MAP) decoding algorithm of turbo and low-density parity-check (LDPC) codes, the most advanced channel codes adopted by modern communication systems for forward error correction ...
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Input estimation for drug discovery using optimal control and Markov chain Monte Carlo approaches
... covers Maximum a Posteriori estimates using techniques from optimal control theory, and full Bayesian estimation using Markov Chain Monte Carlo (MCMC) ...
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Methods and uncertainty estimations of 3-D structural modelling in crystalline rocks: a case study
... the maximum a posteriori model ...the maximum a posteriori interpolation, which in- dicates either that the fieldwork-based model yields the best results or validates the Bayesian inference ...
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A Comparative Study on Language Model Adaptation Techniques Using New Evaluation Metrics
... a maximum a posteriori (MAP) method and three dis- criminative training methods, the boosting algorithm, the average perceptron and the minimum sample risk method, on the task of Japanese Kana-Kanji ...
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Survey on Various Types of Noise and Methods for Noise Removal
... The restoration of digital image is very important process in the image processing. .Image restoration attempts to restore images that have degraded because of camera shake, movement of object or both .The degradation ...
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An Adaptively Accelerated Bayesian Deblurring Method with Entropy Prior
... The development of an efficient adaptively accelerated iterative deblurring algorithm based on Bayesian statistical concept has been reported. Entropy of an image has been used as a “prior” distribution and instead of ...
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Automatic Reasoning about Causal Events in Surveillance Video
... The maximum a posteriori (MAP) output constitutes qualitative descriptions of (a) gaze direction, that is, where the person is looking in the scene ( Section 3.2 ), (b) spatiotemporal ac[r] ...
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