Maximum A Posteriori MAP
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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Low-Power Maximum a Posteriori (MAP) Algorithm for WiMAX Convolutional Turbo Decoder
... Turbo codes were presented in 1993, by Berrou et al and since then these codes have received a lot of interest from the research community as they offer better performance than any of the other codes at very low signal ...
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A Novel Area-Efficient T-Decoders For Recursion Computation
... communication standard, which is aimed at higher peak data rates close to 3 Gb/s. The turbo decoder is specific in LTE. It reveals to be a limiting block toward this objective because of its iterative decoding nature, ...
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Memory-Reduced and Area Efficient Turbo Decoding Architecture
... Turbo codes have been first introduced in 1993 By Berrou, Gavieux and Thitimajshima, and provide near optimal performance approaching the Shannon limit. The channel coding scheme for Long Term Evolution (LTE) is Turbo ...
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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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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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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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A MAP Estimator for Simultaneous Superresolution and Detector Nonunifomity Correction
... a maximum a posteriori (MAP) estimation framework for simultaneously addressing undersampling, linear blur, additive noise, and bias ...proposed MAP algorithm can be applied with or without ...
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Quantum turbo decoding for quantum channels exhibiting memory
... Against this background, we design a new QTC-based coding scheme for depolarizing channels exhibiting mem- ory. The correlated errors are modeled by a 4-state Markov chain and the error-correlation characterized by 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 ...
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Cooperative node selection in virtual MIMO based wireless sensor network using maximum a posteriori estimation
... In this paper, we proposed a cooperative node selection algorithm. This algorithm is based on Maximum a posterior estimate. At each hop, before transmission the cooperative nodes are selected based on this ...
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Assessment of Maximum A Posteriori Image Estimation Algorithms for Reduced Acquisition Time Medical Positron Emission Tomography Data
... the MAP estimates with the highest prior parameter values have low RMSE the images appear to be ...the maximum likelihood estimate with Gaussian smoothing, which is the preferred method in the clinic, ...
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A robust adaptive algorithm of moving object detection for video surveillance
... In this work, a new structure of detection is proposed in which adaptive noise cancellation (ANC) algorithm is utilized along with local MAP estimation. Adaptive noise cancellation basically is an alternative ...
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Estimation of Two Dimensional Correction Factors for Min Sum Decoding of Regular LDPC Code
... In this paper, two-dimensional (2-D) correction scheme is proposed to improve the performance of conventional Min- Sum (MS) decoding of regular low density parity check codes. The adopted algorithm to obtain the ...
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Parallel Computation of a Maximum-Likelihood Estimator of a Physical Map
... In spite of the robustness of SA and MCA to the processors in the multiprocessor architecture accom- presence of local minima in the solution landscape, the panied by either (1) parallel evaluation of multiple annealing ...
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A Survey of Cloud Detection Techniques For Satellite Images
... discriminant, maximum likelihood and k-nearest neighbour classifiers, and the neural-network classifiers which include: multilayer backpropagation neural network (BPNN), self organizing map (SOM) and ...
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Psychometric properties of the Symptom Checklist-90 in adolescent psychiatric inpatients and age- and gender-matched community youth
... All factor analyses used the weighted least squares mean and variance adjusted (WLSMV) algorithm for categorical indicators in Mplus 7.3 [43], which performs well with skewed ordinal variables [44, 45] and with smaller ...
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Survey on Various Types of Noise and Methods for Noise Removal
... 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 Radon transform algorithm that ...
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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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Economic fluctuations in 2013-14: Review on Indian Economic Conditions
... The major task in photography is motion blur.Taking clear photos under dim light using a hand-held camera is quite challenging. If the camera is set to a long exposure time, the image gets blurred due to camera shake. On ...
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