It is known that the berlekamp-massey algorithm from information theory can be used to compute scalar minimal partial realizations. Recently, it has been interpreted in terms of exact modeling of behaviors. In this pa...
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It is known that the berlekamp-massey algorithm from information theory can be used to compute scalar minimal partial realizations. Recently, it has been interpreted in terms of exact modeling of behaviors. In this paper, we extend these results to the multivariable case. We put the behavioral theory of exact modeling to work in deriving an extension of the berlekamp-massey algorithm for computing multivariable minimal partial realizations. (C) 1997 Elsevier Science B.V.
This article presents a new algorithm for obtaining a block diagonalization of Hankel matrices by means of truncated polynomial divisions, such that every block is a lower Hankel matrix. In fact, the algorithm generat...
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This article presents a new algorithm for obtaining a block diagonalization of Hankel matrices by means of truncated polynomial divisions, such that every block is a lower Hankel matrix. In fact, the algorithm generates a block LU-factorization of the matrix. Two applications of this algorithm are also presented. By the one hand, this algorithm yields an algebraic proof of Frobenius' Theorem, which gives the signature of a real regular Hankel matrix by using the signs of its principal leading minors. On the other hand, the close relationship between Hankel matrices and linearly recurrent sequences leads to a comparison with the berlekamp-massey algorithm. (c) 2005 Elsevier Inc. All rights reserved.
This paper presents encoding and decoding algorithms for several families of optimal rank metric codes whose codes are in restricted forms of symmetric, alternating and Hermitian matrices. First, we show the evaluatio...
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This paper presents encoding and decoding algorithms for several families of optimal rank metric codes whose codes are in restricted forms of symmetric, alternating and Hermitian matrices. First, we show the evaluation encoding is the right choice for these codes and then we provide easily reversible encoding methods for each family. Later unique decoding algorithms for the codes are described. The decoding algorithms are interpolation-based and can uniquely correct errors for each code with rank up to L(d - 1)/2 RIGHT FLOOR in polynomial-time, where d is the minimum distance of the code.
High-speed cyclic code decoders, which are central to modern communication systems, when implemented in dense very large scale integration (VLSI), are susceptible to pernicious momentary internal soft fails presenting...
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High-speed cyclic code decoders, which are central to modern communication systems, when implemented in dense very large scale integration (VLSI), are susceptible to pernicious momentary internal soft fails presenting a demanding error-control challenge. However, special structures inherent in such decoders offer new methods for incorporating distributed error control throughout their designs. The underlying design principles and motivations are emphasized providing a variety of options to meet various requirements. Bose-Chaudhuri-Hocquenghem (BCH) codes are used to exemplify the new techniques as applied to the usual three standard subsystems present in a decoder. The first and last parts, syndrome calculations and transform inversion, both involve finite field transforms suggesting the effective application of fast transform algorithms. Error control features are based upon the chord properties of the transform coefficients including even fast algorithms. The third subsystem, the berlekamp-massey algorithm, can be protected through a chord recursion property affiliated with the error location connection polynomial. The propagation and spread of internal errors are studied and a special sink register compares several quantities, available in close proximity, to their easily recomputed counterparts. Most of these results are applicable to generalized to decoders for codes over higher ordered alphabets such as Reed-Solomon codes.
New mathematical techniques for analysis of raw dumps of NAND flash memory were developed. These techniques are aimed at detecting, by analysis of the raw NAND flash dump only, the use of LFSR-based scrambling and the...
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New mathematical techniques for analysis of raw dumps of NAND flash memory were developed. These techniques are aimed at detecting, by analysis of the raw NAND flash dump only, the use of LFSR-based scrambling and the use of a binary cyclic code for error-correction. If detected, parameter values for both LFSR and cyclic error-correcting code are determined simultaneously. These can subsequently be applied to expose the content of memory pages in the raw NAND flash dump and prepare these for further processing with media analysis tools. The techniques were tested on raw NAND flash memory dumps of four different devices and in all cases LFSR-based scrambling and binary cyclic error-correcting codes were in use. (C) 2015 Elsevier Ltd. All rights reserved.
This brief proposes a novel generalized Fractional Folding (FF) architecture for digital signal processing integrated circuits. With this new structure, a Fractional Folding based enhanced Parallel Inversionless Berle...
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This brief proposes a novel generalized Fractional Folding (FF) architecture for digital signal processing integrated circuits. With this new structure, a Fractional Folding based enhanced Parallel Inversionless berlekamp-massey (FF-ePIBM) Reed-Solomon Decoder is presented of which the number of processing element (PE) can be reduced to only one, resulting in ultra-low hardware complexity. The FF-ePIBM VLSI architecture can greatly reduce the hardware cost by about 60% compare to the fully expanded parallel ePIBM architecture. With FF-ePIBM architecture, syndrome calculation (SC) block and Chien search & error evaluation (CSEE) block are able to operate at a lower frequency resulting in about 14.8% power saving. A polyphase clock signal is needed in order to achieve fractional folding function according to specific fractional-factor. It is generated from Delay Locked Loop (DLL) at little or no extra cost in different SoCs. To maximize the throughput of decoder, pipelined architecture is adopted to optimize critical path delay. The RS (255, 239) decoder with FF-ePIBM architecture is finally implemented with 40nm CMOS technology. The synthesized results demonstrate that the decoder has a gate count of 12.9k and can operate at 3.1GHz to achieve a highest throughput of 24.8Gb/s and a best TSNT FoM value of 592 to this date.
作者:
Green, DHChoi, JUMIST
Dept Elect Engn & Elect Digital Commun Res Grp Manchester M60 1QD Lancs England
Legendre sequences are a well-known class of binary sequences, which possess good periodic and aperiodic autocorrelation functions. They are also known to exhibit high linear complexity, which makes them significant f...
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Legendre sequences are a well-known class of binary sequences, which possess good periodic and aperiodic autocorrelation functions. They are also known to exhibit high linear complexity, which makes them significant for cryptographic applications. Jacobi and modified Jacobi sequences are constructed by combining two appropriate Legendre sequences and they also have good correlation properties. This class also contains the Twin Prime sequences as a special case. The authors report the results of subjecting a wide range of modified Jacobi sequences to the berlekamp-massey algorithm in order to establish their linear complexities. The results obtained confirm that some members of this class also have high linear complexity. The findings display sufficient structure to enable the general form of the linear complexity and the corresponding generator polynomials to be conjectured.
A direct short proof of Horiguchi's formula for error values in alternant codes is provided. Horiguchi's formula employs only output polynomials of berlekamp-massey algorithm, which has less computational comp...
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A direct short proof of Horiguchi's formula for error values in alternant codes is provided. Horiguchi's formula employs only output polynomials of berlekamp-massey algorithm, which has less computational complexity than extended Euclidean algorithm for decoding alternant codes. As an application of our proof, we provide an explicit formula for the generator and parity check matrices of alternant codes and their singly-and doubly-extended codes.
lt has been shown in the literature that a formulation of the minimal partial realization problem in terms of exact modeling of a behavior lends itself to an iterative polynomial solution. For the scalar case, we expl...
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lt has been shown in the literature that a formulation of the minimal partial realization problem in terms of exact modeling of a behavior lends itself to an iterative polynomial solution. For the scalar case, we explicitly present such a solution in full detail, Unlike classical solution methods based on Hankel matrices, the algorithm is constructive. It iteratively constructs a partial realization of minimal McMillan degree. The algorithm is known in information theory as the berlekamp-massey algorithm and is used for constructing a shortest linear recurrence relation for a finite sequence of numbers.
In this paper, we show that a straightforward rewrite of a known minimal polynomial algorithm yields a simpler version of an algorithm in a recent paper of A. Salagean.
In this paper, we show that a straightforward rewrite of a known minimal polynomial algorithm yields a simpler version of an algorithm in a recent paper of A. Salagean.
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