Featured Research

from universities, journals, and other organizations

Signal processing: Look-up tables to shoulder the processing load

Date:
March 13, 2013
Source:
The Agency for Science, Technology and Research (A*STAR)
Summary:
Computing tasks for signal processing could be performed more quickly with less power by using look-up tables.

Advanced mathematical algorithms are essential for processing electronic signals within computers and embedded processors. Scientists and engineers are constantly refining and redesigning their algorithms to obtain higher throughput of information on ever smaller devices that consume less power.

Now, Pramod Kumar Meher of the A*STAR Institute for Infocomm Research in Singapore and co-workers at Central South University in Changsha, China, have developed an efficient new method to implement an important step in signal processing, called the discrete cosine transform (DCT). Their method could lead to devices that occupy smaller areas, provide higher throughput of information, and consume less power than existing devices.

The DCT is commonly used for the compression of digital video and audio such as MPEG files. Similar to the better-known Fourier transform, the DCT involves expressing a series of data points as a sum of their product with cosine functions.

Several algorithms and software architectures already exist for computing so-called 'power-of-two-length DCTs'. But, those DCTs are not suitable for all applications. The prime-length DCT is an alternative to the power-of-two-length DCT that has the potential to be more efficient for implementation in hardware, Meher notes.

Meher and his co-workers have focused on computing the DCT of different lengths of practical interest using specialized digital circuits that occupy less area on a silicon chip and use less power, but run at adequate speed. They not only derived a more efficient algorithm for DCT, but also derived new architecture -- based on the 'distributed arithmetic' approach -- for implementing the algorithm in integrated circuit chips.

Meher and co-workers made use of a theorem that inter-relates the transforms with cyclic convolution of two finite duration sequences. By using look-up tables, this convolution, and thereafter the prime-length DCT, could be performed quickly and accurately.

The team also described a new, efficient algorithm for decomposing the DCT -- in mathematics, this means rewriting the problem in terms of a combination of simpler quantities. In addition to reducing the required size of read-only memory (ROM), the researchers found that overall their algorithm significantly reduced the computation time.

"We found that the proposed design involves significantly less area and it yields higher throughput with less power consumption than the corresponding existing designs," says Meher. "The structure we propose is highly regular, modular and therefore suitable for Very Large Scale Integration realization."


Story Source:

The above story is based on materials provided by The Agency for Science, Technology and Research (A*STAR). Note: Materials may be edited for content and length.


Journal Reference:

  1. Jiafeng Xie, Pramod Kumar Meher, Jianjun He. Hardware-Efficient Realization of Prime-Length DCT Based on Distributed Arithmetic. IEEE Transactions on Computers, 2012; DOI: 10.1109/TC.2012.64

Cite This Page:

The Agency for Science, Technology and Research (A*STAR). "Signal processing: Look-up tables to shoulder the processing load." ScienceDaily. ScienceDaily, 13 March 2013. <www.sciencedaily.com/releases/2013/03/130313111658.htm>.
The Agency for Science, Technology and Research (A*STAR). (2013, March 13). Signal processing: Look-up tables to shoulder the processing load. ScienceDaily. Retrieved July 23, 2014 from www.sciencedaily.com/releases/2013/03/130313111658.htm
The Agency for Science, Technology and Research (A*STAR). "Signal processing: Look-up tables to shoulder the processing load." ScienceDaily. www.sciencedaily.com/releases/2013/03/130313111658.htm (accessed July 23, 2014).

Share This




More Computers & Math News

Wednesday, July 23, 2014

Featured Research

from universities, journals, and other organizations


Featured Videos

from AP, Reuters, AFP, and other news services

Google Plans To Speed Up Web Pages With New Image Format

Google Plans To Speed Up Web Pages With New Image Format

Newsy (July 21, 2014) Google is using compressed images in WebP format to help boost page loading times. The files are 25-to-34 percent smaller than PNGs and JPEGs. Video provided by Newsy
Powered by NewsLook.com
Uruguayan Creates Chess Game for Multiple Opponents

Uruguayan Creates Chess Game for Multiple Opponents

AFP (July 19, 2014) It no longer takes two to play chess – or at least according to a new version of the game invented by Uruguayan Gabriel Baldi, where up to four opponents can play. Duration: 00:31 Video provided by AFP
Powered by NewsLook.com
Clock Ticks Down on Internet Speed Debate

Clock Ticks Down on Internet Speed Debate

Reuters - US Online Video (July 18, 2014) The FCC received more than 800,000 comments on whether and how internet speeds should be regulated, even crashing its system. Lily Jamali reports. Video provided by Reuters
Powered by NewsLook.com
Google Won't Call Games With In-App Add-Ons Free, Apple Will

Google Won't Call Games With In-App Add-Ons Free, Apple Will

Newsy (July 18, 2014) The European Commission asked Google and Apple not to label apps "free" if they include in-app purchases. Google has complied; Apple has resisted. Video provided by Newsy
Powered by NewsLook.com

Search ScienceDaily

Number of stories in archives: 140,361

Find with keyword(s):
Enter a keyword or phrase to search ScienceDaily for related topics and research stories.

Save/Print:
Share:

Breaking News:
from the past week

In Other News

... from NewsDaily.com

Science News

Health News

Environment News

Technology News



Save/Print:
Share:

Free Subscriptions


Get the latest science news with ScienceDaily's free email newsletters, updated daily and weekly. Or view hourly updated newsfeeds in your RSS reader:

Get Social & Mobile


Keep up to date with the latest news from ScienceDaily via social networks and mobile apps:

Have Feedback?


Tell us what you think of ScienceDaily -- we welcome both positive and negative comments. Have any problems using the site? Questions?
Mobile: iPhone Android Web
Follow: Facebook Twitter Google+
Subscribe: RSS Feeds Email Newsletters
Latest Headlines Health & Medicine Mind & Brain Space & Time Matter & Energy Computers & Math Plants & Animals Earth & Climate Fossils & Ruins