COMPOSITE LENGTH FAST ALGORITHM USING RECURSIVE FACTORIZATION OF POLYNOMIALS
Project/Area Number |
13650438
|
Research Category |
Grant-in-Aid for Scientific Research (C)
|
Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
情報通信工学
|
Research Institution | KANAZAWA INSTITUTE OF TECHNOLOGY |
Principal Investigator |
MURAKAMI Hideo KANAZAWA INSTITUTE OF TECHNOLOGY, ENGINEERING, PROFESSOR, 工学部, 教授 (90113034)
|
Project Period (FY) |
2001 – 2002
|
Project Status |
Completed (Fiscal Year 2002)
|
Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,900,000)
Fiscal Year 2002: ¥1,600,000 (Direct Cost: ¥1,600,000)
Fiscal Year 2001: ¥2,300,000 (Direct Cost: ¥2,300,000)
|
Keywords | Fast algorithm / Discrete Fourier transform / Recursive polynomial factorization |
Research Abstract |
Computing Discrete Fourier Transform (DFT) and cyclic convolutions is important in digital signal processing as well as communications. One class of fast algorithms is based on a recursive polynomial factorization. This research derives a new fast algorithm based on a recursive polynomial factorization using only real arithmetic that can be applied for sequences whose lengths are not a power of two. Content of the report is as follows : 1. Polynomial Expansions for Finite Sequences 2. Generalized Cyclic Convolution and Is Applications 3. Sampling Rate Conversion Systems for Complex Signals 4. Real-Valued Block Sampling Rate Conversion Systems 5. Parallel Module Decomposition for Filter Banks 6. PR Condition for Complex-valued Block Filter Banks 7. Real Module Decomposition of Block Filter Bank 8. PR Condition for the Real-valued Block Filter Bank 9. Prime-Length Real-Valued Polynomial Residue Division Algorithms 10. Discrete Wavelet Transform Based on Cyclic Convolutions
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Report
(3 results)
Research Products
(17 results)