LiveZilla Live Chat Software
Warning STRICT ERROR REPORTING IS ON
Energy-Efficient Approximate Multiplication for Digital Signal Processing and Classification Applications

Energy-Efficient Approximate Multiplication for Digital Signal Processing and Classification Applications

Starting at: Rs.4,500.00

4500 reward points

 Energy-Efficient Approximate Multiplication for Digital Signal Processing and Classification Applications

 The need to support various digital signal processing (DSP) and classification applications on energy-constrained devices has steadily grown. Such applications often extensively perform matrix multiplications using fixed-point arithmetic while exhibiting tolerance for some computational errors. Hence, improving the energy efficiency of multiplications is critical. In this brief, we propose multiplier architectures that can tradeoff computational accuracy with energy consumption at design time. Compared with a precise multiplier, the proposed multiplier can consume 58% less energy/op with average computational error of ~1%. Finally, we demonstrate that such a small computational error does not notably impact the quality of DSP and the accuracy of classification applications.


 


ClickMyProject Specifications
 
 
Including Packages
 
Specialization
 
  * Supporting Softwares   * 24/7 Support
  * Complete Source Code   * Ticketing System
  * Complete Documentation   * Voice Conference
  * Complete Presentation Slides   * Video On Demand *
  * Flow Diagram   * Remote Connectivity *
  * Database File   * Code Customization **
  * Screenshots   * Document Customization **
  * Execution Procedure   * Live Chat Support
  * Readme File   * Toll Free Support *
  * Addons    
  * Video Tutorials    
       
 

*- PremiumSupport Service (Based on Service Hours) ** - Premium Development Service (Based on Requirements)


Add to Cart:

  • Model: PROJ5223
  • 999 Units in Stock
  • Manufactured by: ClickMyProjects

Please Choose:

Downloadable







This product was added to our catalog on Tuesday 13 September, 2016.

  0