[PDF] Top 20 Maximum a posteriori (MAP) based tag estimation method for dynamic framed slotted ALOHA (DFSA) in RFID systems

... any RFID deployment is the collision between tags which reduces the efficiency of the RFID ...accurate maximum a posteriori (MAP)-based tag estimation method with low computational ...a ... See full document

... Abstract. A semilinear second-order parabolic equation is considered in a regular and a sin- gularly perturbed regime. For this equation, we give computable a posteriori error estimates in the maximum norm. ... See full document

... This paper first addresses an approach to simultane- ous image interpolation and smoothing by exploiting the probability filter [22] coupled with a pyramidal decompo- sition, thereby extending the conventional ... See full document

... 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 ... See full document

... 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 ... See full document

... 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 ... See full document

... The paper is organized as follows. In section 2, we describe the numerical method, present our a posteriori error estimate in Theorem 2.1, and outline its proof. Next, in section 3, we establish some estimates for ... See full document

... 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 ... See full document

... 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] ... See full document

... Ollinger, “Maximum likelihood reconstruction of transmission images in emission computed tomography via the EM algorithm,” IEEE Trans.. Ortega, Numerical Analysis: A Second Course.[r] ... See full document

... 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] ... See full document

... 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 ... See full document

... 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 ... See full document

... linear systems (deconvolution) is well established, while the nonlinear case is largely ...covers Maximum a Posteriori estimates using techniques from optimal control theory, and full Bayesian ... See full document

... 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 ... See full document

... In this paper, we describe the maximum a posteriori with entropy prior (MAPE) method for image deblurring in Bayesian framework. This method is nonlinear and solved iteratively. However, it has the ... See full document

... 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 ... See full document

... 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 ... See full document

... possible maximum interference ...large-scale RFID system deployment, the same frequency should not be allocated to adjacent readers if the objective is to avoid ... See full document

... 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 ... See full document