liu.seSök publikationer i DiVA

RefereraExportera$(function(){PrimeFaces.cw("TieredMenu","widget_formSmash_upper_j_idt144",{id:"formSmash:upper:j_idt144",widgetVar:"widget_formSmash_upper_j_idt144",autoDisplay:true,overlay:true,my:"left top",at:"left bottom",trigger:"formSmash:upper:exportLink",triggerEvent:"click"});}); $(function(){PrimeFaces.cw("OverlayPanel","widget_formSmash_upper_j_idt145_j_idt147",{id:"formSmash:upper:j_idt145:j_idt147",widgetVar:"widget_formSmash_upper_j_idt145_j_idt147",target:"formSmash:upper:j_idt145:permLink",showEffect:"blind",hideEffect:"fade",my:"right top",at:"right bottom",showCloseIcon:true});});

A unified approach to the design and implementation of computation sharing multipliers: Computation sharing multipliersPrimeFaces.cw("AccordionPanel","widget_formSmash_some",{id:"formSmash:some",widgetVar:"widget_formSmash_some",multiple:true}); PrimeFaces.cw("AccordionPanel","widget_formSmash_all",{id:"formSmash:all",widgetVar:"widget_formSmash_all",multiple:true});
function selectAll()
{
var panelSome = $(PrimeFaces.escapeClientId("formSmash:some"));
var panelAll = $(PrimeFaces.escapeClientId("formSmash:all"));
panelAll.toggle();
toggleList(panelSome.get(0).childNodes, panelAll);
toggleList(panelAll.get(0).childNodes, panelAll);
}
/*Toggling the list of authorPanel nodes according to the toggling of the closeable second panel */
function toggleList(childList, panel)
{
var panelWasOpen = (panel.get(0).style.display == 'none');
// console.log('panel was open ' + panelWasOpen);
for (var c = 0; c < childList.length; c++) {
if (childList[c].classList.contains('authorPanel')) {
clickNode(panelWasOpen, childList[c]);
}
}
}
/*nodes have styleClass ui-corner-top if they are expanded and ui-corner-all if they are collapsed */
function clickNode(collapse, child)
{
if (collapse && child.classList.contains('ui-corner-top')) {
// console.log('collapse');
child.click();
}
if (!collapse && child.classList.contains('ui-corner-all')) {
// console.log('expand');
child.click();
}
}
(Engelska)Manuskript (preprint) (Övrigt vetenskapligt)
##### Abstract [en]

##### Nyckelord [en]

Computation sharing multipliers, standard high-radix multiplier, Booth multiplier, FIR filter
##### Nationell ämneskategori

Elektroteknik och elektronik
##### Identifikatorer

URN: urn:nbn:se:liu:diva-124194OAI: oai:DiVA.org:liu-124194DiVA, id: diva2:896490
#####

PrimeFaces.cw("AccordionPanel","widget_formSmash_j_idt435",{id:"formSmash:j_idt435",widgetVar:"widget_formSmash_j_idt435",multiple:true});
#####

PrimeFaces.cw("AccordionPanel","widget_formSmash_j_idt442",{id:"formSmash:j_idt442",widgetVar:"widget_formSmash_j_idt442",multiple:true});
#####

PrimeFaces.cw("AccordionPanel","widget_formSmash_j_idt448",{id:"formSmash:j_idt448",widgetVar:"widget_formSmash_j_idt448",multiple:true}); Tillgänglig från: 2016-01-21 Skapad: 2016-01-21 Senast uppdaterad: 2016-02-02Bibliografiskt granskad
##### Ingår i avhandling

A unified approach to the design and implementation of computation sharing multiplier based on Booth and standard high-radix multiplication schemes is presented here. Both of these multiplication schemes have various building blocks and one of which is the pre-computer which can be shared across a number of multiplications if the multiplicand to the multipliers is same, like in a transposed direct form (TDF) finitelength impulse response (FIR) filter. Closed form expressions to estimate the cost of different building blocks based on different schemes have been developed and analyzed in different dimensions. Standalone multipliers and as part of computation sharing in FIR filters and complex multipliers have been realized in hardware and synthesized using standard cell library.

It is shown that apart from word length and filter length, the ratio between the cost of implementing adders and multiplexers has an effect on the choice of optimal radix. The higher the ratio, the lower is the cost of implementing multiplexers which will benefit high radix. Higher radix will also benefit from computation sharing if the cost of one multiplication for it is less than the lower radix and it is shown that radix-16 Booth multiplier achieves lower area complexity and power consumption by an average of 7% and 17%, respectively.

1. Techniques for Efficient Implementation of FIR and Particle Filtering$(function(){PrimeFaces.cw("OverlayPanel","overlay896498",{id:"formSmash:j_idt774:0:j_idt778",widgetVar:"overlay896498",target:"formSmash:j_idt774:0:parentLink",showEvent:"mousedown",hideEvent:"mousedown",showEffect:"blind",hideEffect:"fade",appendToBody:true});});

urn-nbn$(function(){PrimeFaces.cw("Tooltip","widget_formSmash_j_idt1214",{id:"formSmash:j_idt1214",widgetVar:"widget_formSmash_j_idt1214",showEffect:"fade",hideEffect:"fade",showDelay:500,hideDelay:300,target:"formSmash:altmetricDiv"});});

RefereraExportera$(function(){PrimeFaces.cw("TieredMenu","widget_formSmash_lower_j_idt1267",{id:"formSmash:lower:j_idt1267",widgetVar:"widget_formSmash_lower_j_idt1267",autoDisplay:true,overlay:true,my:"left top",at:"left bottom",trigger:"formSmash:lower:exportLink",triggerEvent:"click"});}); $(function(){PrimeFaces.cw("OverlayPanel","widget_formSmash_lower_j_idt1268_j_idt1270",{id:"formSmash:lower:j_idt1268:j_idt1270",widgetVar:"widget_formSmash_lower_j_idt1268_j_idt1270",target:"formSmash:lower:j_idt1268:permLink",showEffect:"blind",hideEffect:"fade",my:"right top",at:"right bottom",showCloseIcon:true});});