signal-processing-research-articles
Signal processing applications usually encounter multi-dimensional real-time performance requirements and restrictions on resources, which makes software implementation complex. Although major advances have been made in embedded processor technology for this application domain — in particular, in technology for programmable digital signal processors — traditional compiler techniques applied to such platforms do not generate machine code of desired quality. As a result, low-level, human-driven finetuning of software implementations is needed, and we are therefore in need of more effective strategies for software implementation for signal processing applications. In this thesis, a number of important memory and performance optimization problems are addressed for translating high-level representations of signal processing applicaTitle of dissertation: INTEGRATED SOFTWARE SYNTHESIS FOR SIGNAL PROCESSING APPLICATIONS Ming-Yung Ko, Doctor of Philosophy, 2006 Dissertation directed by: Professor Shuvra S. Bhattacharyya Department of Electrical and Computer Engineering, and Institute for Advanced Computer Studies tions into embedded software implementations. This investigation centers around signalprocessing-oriented dataflow models of computation. This form of dataflow provides a coarse grained modeling approach that is well-suited to the signal processing domain and is increasingly supported by commercial and research-oriented tools for design and implementation of signal processing systems.
Research Article: Journal of Electrical & Electronic Systems
Research Article: Journal of Electrical & Electronic Systems
Research Article: Journal of Electrical & Electronic Systems
Research Article: Journal of Electrical & Electronic Systems
Review Article: Journal of Electrical & Electronic Systems
Review Article: Journal of Electrical & Electronic Systems
Research Article: Journal of Electrical & Electronic Systems
Research Article: Journal of Electrical & Electronic Systems
Research Article: Journal of Electrical & Electronic Systems
Research Article: Journal of Electrical & Electronic Systems
Accepted Abstracts: Biosensors & Bioelectronics
Accepted Abstracts: Biosensors & Bioelectronics
Scientific Tracks Abstracts: International Journal of Sensor Networks and Data Communications
Scientific Tracks Abstracts: International Journal of Sensor Networks and Data Communications
Scientific Tracks Abstracts: Journal of Material Sciences & Engineering
Scientific Tracks Abstracts: Journal of Material Sciences & Engineering
Posters & Accepted Abstracts: Journal of Material Sciences & Engineering
Posters & Accepted Abstracts: Journal of Material Sciences & Engineering
Scientific Tracks Abstracts: Journal of Material Sciences & Engineering
Scientific Tracks Abstracts: Journal of Material Sciences & Engineering
Journal of Electrical & Electronic Systems received 733 citations as per Google Scholar report
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