Hardware-efficient filterbank design for fast recursive MDST and IMDST algorithms

Shin Chi Lai; Yi Ping Yeh; Sheau-Fang Lei

doi:10.1109/ISCAS.2012.6272154

Hardware-efficient filterbank design for fast recursive MDST and IMDST algorithms

Shin Chi Lai, Yi Ping Yeh, Sheau-Fang Lei

Department of Electrical Engineering

Research output: Contribution to conference › Paper › peer-review

1 Citation (Scopus)

Abstract

This paper proposes a recursive-structure and hardware-efficient filterbank design for modified discrete sine transform (MDST) and inverse MDST (IMDST) computations. The proposed algorithm can be derived to obtain a common computation, the type-IV of Discrete Sine Transform (DST-IV), and then can be converted into a recursive structure of the modified type-II of inverse discrete sine transform (Modified IDST-II). The implementation results show that the proposed method not only can directly employ the same hardware accelerator to calculate the forward and inverse MDST but also greatly reduce the hardware costs. Compared with previous approaches from the simulation results, the Peak signal-to-noise ratio (PSNR) value can achieve 79.76 dB at best, and the time cost per transform of the proposed hardware only takes 343 μs.

Original language	English
Pages	778-781
Number of pages	4
DOIs	https://doi.org/10.1109/ISCAS.2012.6272154
Publication status	Published - 2012 Sep 28
Event	2012 IEEE International Symposium on Circuits and Systems, ISCAS 2012 - Seoul, Korea, Republic of Duration: 2012 May 20 → 2012 May 23

Other

Other	2012 IEEE International Symposium on Circuits and Systems, ISCAS 2012
Country	Korea, Republic of
City	Seoul
Period	12-05-20 → 12-05-23

All Science Journal Classification (ASJC) codes

Hardware and Architecture
Electrical and Electronic Engineering

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title = "Hardware-efficient filterbank design for fast recursive MDST and IMDST algorithms",

abstract = "This paper proposes a recursive-structure and hardware-efficient filterbank design for modified discrete sine transform (MDST) and inverse MDST (IMDST) computations. The proposed algorithm can be derived to obtain a common computation, the type-IV of Discrete Sine Transform (DST-IV), and then can be converted into a recursive structure of the modified type-II of inverse discrete sine transform (Modified IDST-II). The implementation results show that the proposed method not only can directly employ the same hardware accelerator to calculate the forward and inverse MDST but also greatly reduce the hardware costs. Compared with previous approaches from the simulation results, the Peak signal-to-noise ratio (PSNR) value can achieve 79.76 dB at best, and the time cost per transform of the proposed hardware only takes 343 μs.",

author = "Lai, {Shin Chi} and Yeh, {Yi Ping} and Sheau-Fang Lei",

year = "2012",

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doi = "10.1109/ISCAS.2012.6272154",

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pages = "778--781",

note = "2012 IEEE International Symposium on Circuits and Systems, ISCAS 2012 ; Conference date: 20-05-2012 Through 23-05-2012",

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AU - Lai, Shin Chi

AU - Yeh, Yi Ping

AU - Lei, Sheau-Fang

PY - 2012/9/28

Y1 - 2012/9/28

N2 - This paper proposes a recursive-structure and hardware-efficient filterbank design for modified discrete sine transform (MDST) and inverse MDST (IMDST) computations. The proposed algorithm can be derived to obtain a common computation, the type-IV of Discrete Sine Transform (DST-IV), and then can be converted into a recursive structure of the modified type-II of inverse discrete sine transform (Modified IDST-II). The implementation results show that the proposed method not only can directly employ the same hardware accelerator to calculate the forward and inverse MDST but also greatly reduce the hardware costs. Compared with previous approaches from the simulation results, the Peak signal-to-noise ratio (PSNR) value can achieve 79.76 dB at best, and the time cost per transform of the proposed hardware only takes 343 μs.

AB - This paper proposes a recursive-structure and hardware-efficient filterbank design for modified discrete sine transform (MDST) and inverse MDST (IMDST) computations. The proposed algorithm can be derived to obtain a common computation, the type-IV of Discrete Sine Transform (DST-IV), and then can be converted into a recursive structure of the modified type-II of inverse discrete sine transform (Modified IDST-II). The implementation results show that the proposed method not only can directly employ the same hardware accelerator to calculate the forward and inverse MDST but also greatly reduce the hardware costs. Compared with previous approaches from the simulation results, the Peak signal-to-noise ratio (PSNR) value can achieve 79.76 dB at best, and the time cost per transform of the proposed hardware only takes 343 μs.

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Hardware-efficient filterbank design for fast recursive MDST and IMDST algorithms

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