Low-cost and shared architecture design of recursive DFT/IDFT/IMDCT algorithms for digital radio mondiale system

Shin Chi Lai, Sheau Fang Lei, Ching Hsing Luo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper presents a shared architecture design for computations of Discrete Fourier Transform (DFT), Inverse DFT (IDFT), and Inverse Modified Cosine Transform (IMDCT) algorithms. The proposed method has following advantages, such as 1) Low hardware costs compared with conventional recursive DFT (RDFT) and recursive IDFT (RIDFT) algorithms. For hardware implementation, 2 real multipliers and 8 real adders are required in the proposed architecture. Compared with previous approaches, it can greatly reduce 80% of number of multipliers and 53% of number of adders. 2) The proposed RDFT-based IMDCT architecture has four times data throughput more than the other existing recursive algorithm 3) Computational cycles of the proposed RDFT-based IMDCT algorithm can be greatly reduced by 50% more than our previous recursive IMDCT algorithms. Hence, the proposed RDFT / RIDFT / RDFT-based IMDCT design is more suitable for portable devices in Digital Radio Mondiale (DRM) system.

Original languageEnglish
Title of host publicationProceedings - 2010 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2010
Pages276-279
Number of pages4
DOIs
Publication statusPublished - 2010 Dec 28
Event6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2010 - Darmstadt, Germany
Duration: 2010 Oct 152010 Oct 17

Publication series

NameProceedings - 2010 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2010

Other

Other6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2010
CountryGermany
CityDarmstadt
Period10-10-1510-10-17

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Information Systems
  • Signal Processing

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