نتایج جستجو برای: welch

تعداد نتایج: 3083  

Journal: :CoRR 2009
Jinquan Luo San Ling Chaoping Xing

Let q = 2, 0 ≤ k ≤ n− 1 and k 6= n/2. In this paper we determine the value distribution of following exponential sums

2002
MARC A. ARMAND

– The Welch-Berlekamp (WB) key equation arises in the decoding of Reed-Solomon (RS) codes over finite fields where the decoding problem is viewed as a rational interpolation problem. The significance of this decoding approach lies in the fact that it does not require the prior evaluation of power sum symmetric functions, i.e. the so-called syndrome vector corresponding to a received word. It ha...

Journal: :IEEE Trans. Information Theory 2006
Pengfei Xia Shengli Zhou Georgios B. Giannakis

P. Xia was with the the Department of Electrical and Computer Engineering, University of Minnesota, and is now with Samsung Information System America, 75 West Plumeria Drive, San Jose, CA 95134 (email: [email protected]). S. Zhou is with the Department of Electrical and Computer Engineering, University of Connecticut, 371 Fairfield Road U-2157, Storrs, Connecticut 06269, USA (email: shen...

2009
Juan J. Flores Juan M. Garcia

This paper reports the results of a system that performs network anomaly detection through the use of Hidden Markov Models (HMMs). The HMMs used to detect anomalies are designed and trained using Genetic Algorithms (GAs). The use of GAs helps automating the use of HMMs, by liberating users from the need of statistical knowledge, assumed by software that trains HMMs from data. The number of stat...

1998
Sebastian Thrun John C. Langford

We present a learning algorithm for hidden Markov models with continuous state and observation spaces. All necessary probability density functions are approximated using samples, along with density trees generated from such samples. A Monte Carlo version of Baum-Welch (EM) is employed to learn models from data, just as in regular HMM learning. Regularization during learning is obtained using an...

2012
X. Yang H. Kumehara W. Zhang

In this paper, drills wear monitoring method that based on the mahalanobis distance (MD) of spectrum energy features form cutting torque is proposed. The method consists of three steps. First, using the wavelet transform carried out separating cutting torque components from the original signals. Second, signals feature is adopted to Welch spectrum method extracted on wavelet coefficients of dif...

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