Accession Number : ADA627066


Title :   Profile and Instrumentation Driven Methods for Embedded Signal Processing


Descriptive Note : Doctoral thesis


Corporate Author : MARYLAND UNIV COLLEGE PARK


Personal Author(s) : Chukhman, Ilya


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a627066.pdf


Report Date : Jan 2015


Pagination or Media Count : 148


Abstract : Modern embedded systems for digital signal processing (DSP) run increasingly sophisticated applications that require expansive performance resources, while simultaneously requiring better power utilization to prolong battery-life. Achieving such conflicting objectives requires innovative software/hardware design space exploration spanning a wide-array of techniques and technologies that offer trade-offs among performance, cost, power utilization, and overall system design complexity. To save on non-recurring engineering (NRE) costs and in order to meet shorter time-to-market requirements, designers are increasingly using an iterative design cycle and adopting model-based computer-aided design (CAD) tools to facilitate analysis, design optimization.


Descriptors :   *COMPUTER AIDED DESIGN , *EMBEDDED SYSTEMS , *MULTIPROCESSORS , DEBUGGING(COMPUTERS) , DIGITAL SYSTEMS , DISCRIMINANT ANALYSIS , FAST FOURIER TRANSFORMS , FIELD PROGRAMMABLE GATE ARRAYS , HOT SPOTS , IDENTIFICATION , INTEGRATED CIRCUITS , INTERFERENCE , KERNEL FUNCTIONS , MEMORY DEVICES , OPTIMIZATION , SIGNAL PROCESSING , SIGNAL TO NOISE RATIO , SPEECH RECOGNITION , SYNERGISM , THESES , TRADE OFF ANALYSIS , UTILIZATION


Subject Categories : Computer Programming and Software
      Computer Hardware
      Computer Systems
      Radiofrequency Wave Propagation


Distribution Statement : APPROVED FOR PUBLIC RELEASE