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Computational number theory and digital signal processing : fast algorithms and error control techniques.

By: Contributor(s): Material type: TextTextLanguage: English Series: ; Sun, Jenn-Dong.Publication details: Florida CRC Press, Inc. 1994Description: xviii, 330p. illISBN:
  • 0849371775 (HB)
Subject(s):
Contents:
1. Introduction Pt. I. Computational Number Theory. 2. Computational Number Theory. 3. Polynomial Algebra Pt. II. Digital Signal Processing. 4. New Algorithms Over Integer Rings. 5. AICE-CRT: The Complex Case. 6. Fault Tolerance for Integer Sequences Pt. III. Error Control Techniques in Residue Number Systems. 7. Fault Control in Residue Number Systems. 8. Single Error Correction in RNS. 9. Multiple Error Control in RRNS. 10. Erasure and Error Control in RRNS. 11. Multiple Error Control in RNS-PC. A Computational Complexity Analysis B Complexity Analysis: Continued.
Summary: Military service involves exposure to multiple sources of chronic, acute, and potentially traumatic stress. This title identifies key factors that are essential to a scientifically useful and behaviorally predictive understanding of resilience to stress.
Item type: BOOKS
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Home library Call number Materials specified Status Date due Barcode
IMSc Library 511-3 KRI (Browse shelf(Opens below)) Available 44316

Includes index.

1. Introduction
Pt. I. Computational Number Theory.
2. Computational Number Theory.
3. Polynomial Algebra
Pt. II. Digital Signal Processing.
4. New Algorithms Over Integer Rings.
5. AICE-CRT: The Complex Case.
6. Fault Tolerance for Integer Sequences
Pt. III. Error Control Techniques in Residue Number Systems.
7. Fault Control in Residue Number Systems.
8. Single Error Correction in RNS.
9. Multiple Error Control in RRNS.
10. Erasure and Error Control in RRNS.
11. Multiple Error Control in RNS-PC.
A Computational Complexity Analysis
B Complexity Analysis: Continued.

Military service involves exposure to multiple sources of chronic, acute, and potentially traumatic stress. This title identifies key factors that are essential to a scientifically useful and behaviorally predictive understanding of resilience to stress.

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The Institute of Mathematical Sciences, Chennai, India