Design and Implementation of Signal Processing Systems:
An Introduction
Outline
What is signal processing
Implementation Options and Design issues:
General purpose (micro) processor (GPP)
Multimedia enhanced extension (Native signal processing)
Programmable digital signal processors (PDSP)
Multimedia signal processors (MSP)
Application specific integrated circuit (ASIC)
Re-configurable signal processors
2
Issues in DSP Architectures and Projects
Provide students with a global view of embedded micro-architecture implementation options and design methodologies for multimedia signal processing.
The interaction between the algorithm formulation and the underlying architecture that implements the algorithm will be focused:
Formulate algorithm that matches the architecture.
Design novel architecture to match algorithm.
Issues to be treated in projects
Signal processing computing algorithms
Algorithm representations
Algorithm transformations:
Retiming, unfolding
Folding
Systolic array and design methodologies
Mapping algorithms to array structures
Low power design
Native signal processing and multimedia extension
Programmable DSPs
Very Long Instruction Word (VLIW) Architecture
Re-configurable computing & FPGA
Signal Processing arithmetics: CORDIC, and distributed arithmetic.
Applications: Video, audio, communication
What is Signal
A SIGNAL is a measurement of a physical quantity of certain medium.
Examples of signals:
Visual patterns (written documents, picture, video, gesture, facial expression)
Audio patterns (voice, speech, music)
Change patterns of other physical quantities: temperature, EM wave, etc.
Signal contains INFORMATION!
Medium and Modality
Medium:

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