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Wednesday, August 5, 2020 | History

4 edition of A VLSI architecture for symbol-by-symbol detection found in the catalog.

A VLSI architecture for symbol-by-symbol detection

Joseph Dao

A VLSI architecture for symbol-by-symbol detection

by Joseph Dao

  • 338 Want to read
  • 32 Currently reading

Published by National Library of Canada = Bibliothèque nationale du Canada in Ottawa .
Written in English


Edition Notes

SeriesCanadian theses = Thèses canadiennes
The Physical Object
FormatMicroform
Pagination2 microfiches : negative.
ID Numbers
Open LibraryOL14726241M
ISBN 100315743581
OCLC/WorldCa29909143

Shang-Ho Tsai and C.-C. Jay Kuo, “Symbol-by-symbol maximum likelihood (ML) detection with reduced complexity over multicarrier systems,” the Conference on Digital Wireless Communications VI in SPIE’s Defense and Security Symposium, Orlando, Fl., April , Suboptimal symbol-by-symbol demodulation of continuous phase modulated signals. R. Balasubramanian, M. P. Fitz, , we propose a new approach for the signal estimation/detection problems in the FIR channel. By applying the Bayesian law, the MAP estimator/detector are obtained. High-speed VLSI implementation of FIR lattice filters. K. A.

Systems () and methods () for processing a data signal in a communications system. The methods involve generating a first chaotic sequence at a transmitter (). The methods also involve performing first basis function algorithms using the first chaotic sequence to generate first statistically orthogonal chaotic sequences. At least one sequence is selected from the first Cited by: Finally, the performance of the proposed filter is compared with that of the wellknown Grow-When-Required neural network approach for a novelty detection task in an indoor environment, and with that of efficient support vector data description method for a novelty detection task in an outdoor environment.

Introduction to organization and architecture of mainframe, mini and micro systems. Introduction to E-mail, ftp, login and other network services, world wide web, MS-Office. II. Introduction to Programming: Concept of algorithms, Flow charts, Example of Algorithms such as how to add ten numbers, roots of a quadratic equation. Concept of. Mathematical foundations of various knowledge representation and reasoning formalisms (e.g., classical logic,answer set programming, action languages, situation calculus, description logic, constraint programming), and their applications to computer science and other sciences (e.g., commonsense knowledge representation, belief/theory revision.


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A VLSI architecture for symbol-by-symbol detection by Joseph Dao Download PDF EPUB FB2

VLSI circuits for MIMO communication systems. Take the 4 × 4 linear MMSE detection as an example. We propose a novel VLSI architecture to efficiently compute the approximate inverse using. A novel parallel VLSI architecture for turbo decoding is described, comprising multiple SISO elements, operating jointly on one turbo coded block, and a new parallel interleaver.

Conferences. Modenini, A. Ugolini, and G. Colavolpe, "A fast method for optimizing the amplifier output back-off by means of the total degradation," in Proc. 8th ESA on Tracking, Telemetry and Command Systems for Space (TTC ), Darmstadt, Germany, September A. Mirbadin, E. Kiani, A. Vannucci, and G.

Colavolpe, "Estimation of Gaussian processes in Markov-Middleton. Books. Vitetta, D. Taylor, G. Colavolpe, F. Pancaldi, and P. Martin, Wireless Communications: Algorithmic Techniques, John Wiley & Sons. The equalisation 39 configurations of Figures 6 and 16 are known as the symbol-by-symbol equaliser where detection of the channel input sequence is on a symbol-by-symbol basis.

The MLSE on the other hand is the optimal solution for a very different class of sequenceestimation : Peter M. Grant, B. Mulgrew. This thesis describes the architecture of Braindrop, a square-millimeter, neuron, low-power, mixed-signal neuromorphic system. Braindrop is the first such system designed with a comprehensive set of high-level programming abstractions and a synthesis procedure for mapping them to mismatched (and temperature-sensitive) subthreshold analog hardware.

A.6 A VLSI ARCHITECTURE FOR REAL TIME OBJECT DETECTION ON HIGH RESOLUTION IMAGES M. Cavadini M. Wosnitza M. Thaler G. Troester Electronic Laboratory Swiss Institute of Technology Zuerich (ETHZ) Gloriastrasse 35 CH Zuerich [email protected] ABSTRACT This paper describes a VLSI-based SIMD multiprocessor system for the implementation of a set of basic.

Majalah Inovasi Online Volume 20 No. 1, Bulan April Home; Electronics and Communication Engineering; Electronics and Communication Engineering. | Author: Ash Rk | Category: Fourier Transform, Fourier.

Lee D, Tsaur L and Naeem M () Symbol-by-symbol CDMA spreading gain adaptation and detection using OVSF sequences, IEEE Transactions on Wireless Communications,(), Online publication date: 1-Sep CHAPTER 14 HIGH-SPEED I/ INTERFACES Mike Peng Li Wavecrest, San Jose, California T.

Mak Intel Corporation, Santa Clara, California Kwang-Ting (Tim) Cheng University of California, Santa Barbara, California ABOUT THIS CHAPTER Regardless of how complex semiconductor device or chip is, the first thing that has to be dealt with is its pins or input/output (I/O) by: 1.

Liu, Z. Siveski, and N. Ansari, `` Fractionally spaced coherent detection with DF MAP estimation of statistically known time-varying Rayleigh fading channel," in Proc.

of IEEE Global Communications Conference, Phoenix, AZ, Nov.pp. Tajer, A. Nosratinia and N. Al-Dhahir, “Diversity Order of Symbol-by-Symbol Linear Equalization,” IEEE Transactions on Communications, vol. 59, no. 9, pp.Sept. Choi and A. Nosratinia, “Analysis of Three-Phase Multiple Access with Continual Contention Resolution (TPMA-CCR) for Wireless Multi-hop Ad Hoc Networks.

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Hence, the division remainder zero procedure [Division where the dividend is known to be an integer multiple of the divisor and the divisor is known Cited by: 7. an and S. Pasupathy, ``Low-Complexity Parallel Structure Symbol-by-Symbol Detection for ISI Channels,” IEEE Pacific Rim Conference on Communications, Computers, and Signal Processing, pp.June Book Author(s): Prof.

Lajos Hanzo FREng, FIEEE, FIET, DSc. chair enthusiastic supporter academic liaison IEEE Distinguished Lecturer Governor Editor‐in‐Chief. University of Southampton, UK. Search for more papers by this author.

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