Zobrazeno 1 - 10
of 910
pro vyhledávání: '"W. Turin"'
Autor:
Nikolaos E. Myridis
Publikováno v:
Contemporary Physics. 53:533-534
Probability, Random Processes, and Statistical Analysis, by H. Kobayashi, B.L. Mark and W. Turin, Cambridge, Cambridge University Press, 2011, 812 pp., £45.00 (hardback), ISBN 978-0-52-189544-6. Sc...
Autor:
Liane Ranieri
Publikováno v:
The Journal of African History. 1:176-177
Publikováno v:
IEEE Transactions on Communications. 52:1786-1796
This paper describes the results of frequency-domain channel sounding in residential environments. It consists of detailed characterization of complex frequency responses of ultra-wideband (UWB) signals having a nominal center frequency of 5 GHz. A p
Autor:
W. Turin, Michele Zorzi
Publikováno v:
IEEE Transactions on Wireless Communications. 1:801-807
In a typical wireless system, communications between a transmitter-receiver pair is subject to impairments such as intracell and intercell interference, as well as multipath fading. For practical wireless data transmission systems, e.g., UMTS or GPRS
Autor:
W. Turin
Publikováno v:
IEEE Transactions on Information Theory. 47:1832-1838
We analyze the forward-backward algorithm for the maximum a posteriori (MAP) decoding of information transmitted over channels with memory and propose a suboptimal forward-only algorithm. We assume that both the information source and channel are des
Autor:
W. Turin
Publikováno v:
IEEE Transactions on Communications. 48:757-763
The expectation-maximization (EM) algorithm is popular in estimating the parameters of various statistical models. We consider applications of the EM algorithm to the maximum a posteriori (MAP) sequence decoding assuming that sources and channels are
Autor:
W. Turin
Publikováno v:
IEEE Journal on Selected Areas in Communications. 17:881-887
We derive a formula for calculating the throughput efficiency of the go-back-N (GBN) protocol when error sources in the forward and backward channels are modeled by a hidden Markov model. The result is presented in the matrix form which makes it appl
Autor:
W. Turin
Publikováno v:
IEEE Transactions on Speech and Audio Processing. 6:516-523
Hidden Markov models (HMMs) are popular in many applications, such as automatic speech recognition, control theory, biology, communication theory over channels with bursts of errors, queueing theory, and many others. Therefore, it is important to hav
Autor:
R. van Nobelen, W. Turin
Publikováno v:
IEEE Journal on Selected Areas in Communications. 16:1809-1817
Hidden Markov models (HMMs) are a powerful tool for modeling stochastic random processes. They are general enough to model with high accuracy a large variety of processes and are relatively simple allowing us to compute analytically many important pa
Publikováno v:
IEEE Transactions on Signal Processing. 46:354-363
The ubiquitous supermarket checkout scanner is indeed a well engineered and effective device. There is, nevertheless, demand for better devices. Existing scanners rely on simple and indeed low-cost signal processing to interpret bar code signals. The