DSP Hardware Systems Design

(2-0-0-3)

CMPE Degree: This course is Not Applicable for the CMPE degree.

EE Degree: This course is Not Applicable for the EE degree.

Lab Hours: 0 supervised lab hours and 0 unsupervised lab hours.

Technical Interest Group(s) / Course Type(s): Digital Signal Processing, VLSI Systems and Digital Design

Course Coordinator:

Prerequisites: ECE 4270

Corequisites: None.

Catalog Description

A study of theory and practice in the design and implementation of
DSP algorithms on programmable processors, multiprocessors, and
ASICs.

Course Outcomes

Not Applicable

Student Outcomes

In the parentheses for each Student Outcome:
"P" for primary indicates the outcome is a major focus of the entire course.
“M” for moderate indicates the outcome is the focus of at least one component of the course, but not majority of course material.
“LN” for “little to none” indicates that the course does not contribute significantly to this outcome.

1. ( Not Applicable ) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

2. ( Not Applicable ) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

3. ( Not Applicable ) An ability to communicate effectively with a range of audiences

4. ( Not Applicable ) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

5. ( Not Applicable ) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

6. ( Not Applicable ) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

7. ( Not Applicable ) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.

Strategic Performance Indicators (SPIs)

Not Applicable

Course Objectives

Topical Outline

[6 hrs] Introduction to Programmable DSPs
Skillikorn's taxonomy and classification
Architectures of DSP
Examples of DSPs
Memory architectures
External interface units

[9 hrs] Data Path Design for DSP
SISC architectures
Reservation tables and optimization
Pipeline control
Synchronous data path design and retiming
Arithmetic circuits for DSP
Multiprocessor scheduling theory

[3 hrs] Video signal processors

[9 hrs] DSP ASIC design and VHDL
Introduction to VHDL
VHDL Language Fundamentals
Structuring a Design
Modeling DSP data and control path in VHDL

[6 hrs] DSP Chip Synthesis
Design recommendations
Compilation and coding issues
Joint simulation and synthesis issues

[9 hrs] Synthesis Examples
FIR filter chip design
FFT filter chip design
DSP processor design

[3 hrs] Exams