Design Of Low Power Approximate Adders

P. Sahithi

ISBN 10: 6139859085 / ISBN 13: 9786139859085

Published by LAP LAMBERT Academic Publishing Jun 2018, 2018

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -A majority of the portable multimedia devices employ various Signal Processing algorithms and architecture. In all such devices low power is the major concern. In most of the multimedia applications, useful information is gathered from slightly erroneous outputs. There are many cases, where low power consumption is preferred over exactness or accuracy of the devices. Most of these DSP blocks implement image and video processing algorithms, where the ultimate output is either an image or a video for human consumption. Human beings have limited perceptual abilities when interpreting an image or a video. This allows the outputs of these algorithms to be numerically approximate rather than accurate. This relaxation on numerical exactness provides some freedom to carry out imprecise or approximate computation.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch.

Seller Inventory # 9786139859085

Bibliographic Details

• Title: Design Of Low Power Approximate Adders
• Publisher: LAP LAMBERT Academic Publishing Jun 2018
• Publication Date: 2018
• Language: English
• ISBN 10: 6139859085
• ISBN 13: 9786139859085
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 5D millimeters 220 millimeters width by 150 millimeters height by 5 millimeters depth
• Weight: 113 grams

About this title

Synopsis

A majority of the portable multimedia devices employ various Signal Processing algorithms and architecture. In all such devices low power is the major concern. In most of the multimedia applications, useful information is gathered from slightly erroneous outputs. There are many cases, where low power consumption is preferred over exactness or accuracy of the devices. Most of these DSP blocks implement image and video processing algorithms, where the ultimate output is either an image or a video for human consumption. Human beings have limited perceptual abilities when interpreting an image or a video. This allows the outputs of these algorithms to be numerically approximate rather than accurate. This relaxation on numerical exactness provides some freedom to carry out imprecise or approximate computation.