Browsing by Subject "Decoding"
Now showing items 1-20 of 21
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Article
Algebraic approaches for fault identification in discrete-event systems
(2005)In this note, we develop algebraic approaches for fault identification in discrete-event systems that are described by Petri nets. We consider faults in both Petri net transitions and places, and assume that system events ...
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Article
Categorized sliding window in streaming data management systems
(2008)For many applications, data is collected at very large rates from various sources. Applications that produce results from this data have a requirement for very efficient processing in order to achieve timely decisions. An ...
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Conference Object
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Article
Decoding algorithm and architecture for BCH codes under the Lee metric
(2008)The Lee metric measures the circular distance between two elements in a cyclic group and is particularly appropriate as a measure of distance for data transmission under phase-shift-keying modulation over a white noise ...
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Conference Object
Fault-tolerant discrete-time linear time-invariant filters
(Institute of Electrical and Electronics Engineers Inc., 2000)Modular redundancy, the traditional approach to fault tolerance, is prohibitively expensive because of the overhead in replicating the hardware. In this paper we discuss alternative methods for obtaining fault-tolerant ...
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Article
Genetics-based machine learning for the assessment of certain neuromuscular disorders
(1996)Clinical electromyography (EMG) provides useful information for the diagnosis of neuromuscular disorders. The utility of artificial neural networks (ANN's) in classifying EMG data trained with backpropagation or Kohonen's ...
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Conference Object
Graphical inference methods for fault diagnosis based on information from unreliable sensors
(2006)In this paper, we study the application of decoding algorithms to the multiple fault diagnosis (MFD) problem. Prompted by the resemblance between graphical representations for MFD problems and parity check codes, we develop ...
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Article
Information Structures for Feedback Capacity of Channels with Memory and Transmission Cost: Stochastic Optimal Control & Variational Equalities
(2017)The Finite Transmission Feedback Information (FTFI) capacity is characterized for any class of channel conditional distributions PBi|Bi-1, Ai and P Bi|Bi-1 i-M, Ai, where M is the memory of the channel, Bi ? {B-1, B0,..., ...
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Conference Object
LDPC decoding on the Intel SCC
(2012)Low-Density Parity-Check (LDPC) codes are powerful error correcting codes used today in communication standards such as DVB-S2 and WiMAX to transmit data inside noisy channels with high error probability. LDPC decoding is ...
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Article
Nonconcurrent error correction in the presence of roundoff noise
(2009)This paper analyzes the effects of roundoff noise on our ability to nonconcurrently detect and identify transient faults that corrupt state variables during the operation of a fault-tolerant discrete-time linear time-invariant ...
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Conference Object
On the channel capacity of wireless fading channels
(2002)The objectives of this paper are twofold. First, to point out the significance of certain results on stochastic processes in computing the channel capacity for flat fading wireless channels. Second, to design an optimal ...
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Conference Object
Position error signal estimation at high sampling rates using data and servo sector measurements
(2002)Track density in hard disk drives (HDD) is related to the performance characteristics of the HDD servo control system. Higher track density can be achieved by improving the performance characteristics of the servo controller ...
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Article
Position error signal estimation at high sampling rates using data and servo sector measurements
(2003)The sampling rate in most hard disk drives (HDDs) is limited by the number of servo burst sectors that have prewritten position error signal (PES) data and by the spinning speed of the HDD. This paper presents an algorithm ...
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Conference Object
Rate distortion function with causal decoding
(2010)This paper considers source coding of general sources with memory, when causal feedback is available at the decoder. The rate distortion function is defined as the infimum of the so-called directed information over causal ...
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Conference Object
Robust coding for uncertain sources: A minimax approach
(2005)This paper is concerned with designing minimum average length uniquely decodable codes, for a family of source distributions for which the relative entropy with respect to a given nominal distribution is bounded above by ...
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Conference Object
Soft-decision decoding of linear block codes using efficient iterative G-space encodings
(2001)This paper proposes a sub-optimal maximum likelihood decoding algorithm for linear block codes. Given reliability information about each bit in the received word, our approach initially finds the set of most reliable "basis" ...
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Conference Object
Soft-decision decoding of linear block codes using multiple information bases
(2003)A previous study addressed algorithms that perform soft-decision decoding by utilizing encodings of test error patterns (TEPs) on the so-called "most reliable basis" which can be obtained by a greedy search algorithm. In ...
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Conference Object
Soft-decision decoding of linear block codes using preprocessing
(2004)Two universally applicable preprocessing rules to improve iterative recoding algorithms, which utilize the most reliable basis (MRB), while focusing on order-w reprocessing, was investigated. The first preprocessing rule ...
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Article
Soft-decision decoding of linear block codes using preprocessing and diversification
(2007)Order-w reprocessing is a suboptimal soft-decision decoding approach for binary linear block codes in which up to w bits are systematically flipped on the so-called most reliable (information) basis (MRB). This correspondence ...
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Article
Soft-decision decoding using ordered recodings on the most reliable basis
(2007)This correspondence investigates soft-decision decoding of binary linear block codes using ordered recodings of test error patterns on the so-called "most reliable basis." The analysis demonstrates the optimality of the ...