Low power reconfigurable sub-band filter bank ASIC for MP3 decoder
by B.P. Gangamamba, P. Muralidhar, N.S. Murthy
International Journal of Information and Communication Technology (IJICT), Vol. 2, No. 1/2, 2009

Abstract: There is an ever demanding need to develop low power audio devices using MP3 technology. From the profiled results of MP3 algorithm on ARM processors, it has been observed that the synthesis filter bank in the audio decoder consumes maximum power. Hence, to reduce the power consumption of the filter bank, we developed an IEEE 754 single precision floating-point runtime reconfigurable architecture. The proposed architecture consumes less power at run time as the last 12 bits of the mantissa part of the synthesis filter coefficients are zero most of the time and, hence, the corresponding multipliers will be switched off. Since the active multipliers during inverse polyphase quadrature mirror filter banks (IPQMF) are less, we are able to achieve low powered decoding process without significantly compromising on the accuracy and speed. We synthesised and simulated the architecture using 0.35 μm process technology under synopsys environment. A uniform worst case power reduction of 23.7% has been achieved in the frequency range from 1 MHz to 20 MHz when all the multipliers are in active state.

Online publication date: Thu, 11-Jun-2009

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Information and Communication Technology (IJICT):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com