DocumentCode
2917066
Title
Algorithm-based low-power transform coding architectures
Author
Wu, An-Yeu ; Liu, K. J Ray
Author_Institution
Dept. of Electr. Eng., Maryland Univ., College Park, MD, USA
Volume
5
fYear
1995
fDate
9-12 May 1995
Firstpage
3267
Abstract
In most low-power VLSI designs, the supply voltage is usually reduced to lower the total power consumption. However, the device speed will be degraded as the supply voltage goes down. In this paper, we propose new algorithmic-level techniques for compensating the increased delays based on the multirate approach. We will show how to compute most of the discrete sinusoidal transforms through the decimated low-speed sequences with reasonable linear hardware overhead. For the case where the decimation factor is equal to two, the overall power consumption can be reduced to about one-third of the original design. The resulting multirate low-power architectures are regular, modular, and free of global communications. Such properties are very suitable for VLSI implementations. The proposed architectures can also be applied to very high-speed block transforms where only low-speed operators are required
Keywords
CMOS digital integrated circuits; VLSI; delays; digital signal processing chips; discrete cosine transforms; integrated circuit design; network topology; parallel architectures; transform coding; CMOS; algorithm-based low-power transform coding architectures; decimated low-speed sequences; delays; device speed; discrete sinusoidal transforms; linear hardware overhead; low-power VLSI designs; low-speed operators; multirate approach; signal processing; supply voltage; total power consumption; very high-speed block transforms; Computer architecture; Degradation; Delay; Discrete transforms; Energy consumption; Global communication; Hardware; Transform coding; Very large scale integration; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location
Detroit, MI
ISSN
1520-6149
Print_ISBN
0-7803-2431-5
Type
conf
DOI
10.1109/ICASSP.1995.479582
Filename
479582
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