EEL 6935/4935 - DSP/FPGA Lab

Prerequisites by Topic:

Linear systems theory, Digital signal processing and digital communication systems basics, Fundamentals of logic design and microprocessors

Development of real-time software defined radio digital signal processing (DSP) systems from algorithm to hardware using DSP, FPGA and hybrid DSP/FPGA rapid prototyping platforms. The course has both lecture and laboratory components. Several structured laboratory exercises such as source/channel coding, modulation schemes, equalization, convolution, spectral analysis (FFT), filtering (FIR/IIR) followed by detailed projects on wireless and digital communications, adaptive filters, speech processing, etc. (3 credits) 

Familiarize the students with the development of software defined radio based digital signal processing systems from algorithms to hardware using DSP, FPGA and hybrid DSP/FPGA platforms. Several structured laboratory exercises such as source/channel coding, modulation schemes, equalization, convolution, spectral analysis, filtering (FIR/IIR) will introduce the students to fundamental theory, design of algorithms using software such as MATLAB/Simulink, System Generator for DSP, and Real-Time Workshop and implementation using hardware platforms. This is followed by detailed projects on wireless and digital communications, adaptive filters, speech processing, etc.

Recommended Reference Books:

• Digital Signal Processing and Applications with the C6713 and C6416 DSK, 2^nd Edition,
  R. Chassaing and D. Reay, Wiley, 2008, ISBN 0-470-13866-3
• Digital Signal Processors: Architectures, Implementations, and Applications,
  S. M. Kuo and W. S. Gan, Prentice Hall, 2005, ISBN 0-13-035214-4
• Software Radio: A Modern Approach to Radio Engineering, 2^nd Edition,
  Jeffrey H. Reed, Prentice Hall, 2002, ISBN 0-13-081158-0
• Digital Design: Principles and Practices,3rd Edition,
  J. F. Wakerly, Prentice-Hall, 2003, ISBN: 0-13-176059-9

Instructors: Dr. Ravi Sankar, Professor of Electrical Engineering

• Office Phone: (813) 974-4769; Fax: (813) 974-5250; Office Location: ENB 368
• E-mail: sankar@eng.usf.edu
• Office Hours: TR 11:00 am -12:30 pm

Teaching (LAB) Assistants: Ismail Butun and Yongxue Yu

• Office Location: ENB 237/ENB 381
• E-mail: ibutun@mail.usf.edu / yongxue@mail.usf.edu
• Office Hours: TBA

Lecture: W 12:00-1:45 pm; ENB 228 or ENB 237
Lab Session 1: W 2:00-5:50 pm; ENB 237

Office Hours: Generally Open door policy;
Specific Hours: Additional Faculty and TAs office hours will be posted
You can also contact us by email/voice mail any time or by appointment

Course Homepages:

• USF Web Portal (secure): https://my.usf.edu (access my USF Online and Blackboard)
• Mirror site: http://www.eng.usf.edu/~sankar/course/dsplab.html
• Others: http://www.eng.usf.edu/~sankar/teaching.html (links to all the above sites can be found here)

Lab Procedures

• Pre-lab Assignment: Performing some initial simulations using MATLAB and/or Simulink.
• Lab: Implementing the experiments using Simulink and downloading into the hardware.
• Post-lab Assignment: Preparing a short report and answering a few given questions related to the experiment

Topics to be covered:

A more detailed week-by-week schedule is posted in Blackboard.

1.    Fundamental Theory

Introduction to DSP architectures and programming 
Sampling Theory, Analog-to-Digital Converter (ADC), Digital-to-Analog Converter (DAC) and Quantization;
Decimation, Interpolation, Convolution, Simple Moving Average; FIR and IIR Filters;
Fourier Transform (DFT/FFT), Windows and Spectral Analysis;
Digital Communication System: Source Coding, Channel Coding, Modulation, Matched Filter/Correlator, Equalizer;

Simulate the lab exercises using MATLAB/Simulink Blockset and/or using C programming

Digital Communications: On-Off- Keying (OOK), BPSK modulation, and a simple transceiver design
Adaptive Filtering: Echo/Noise Cancellation, Least Mean Square (LMS) algorithm
Wireless Communications: Equalization, Simple Detection Algorithm, OFDM
Speech Processing: Linear and Cepstral Prediction Algorithms, Speech Classification and Synthesis

Grading Policy:

Grades will be decided based on

Graduate Section: Basic Exercises (4) - 40 %;  Advanced Exercises (2) - 30%; Exercise with Alternate Platforms - 10%; Project - 20 %; Exam (Bonus) - 5%;
Undergraduate Section: Basic Exercises (4) - 50 %;  Advanced Exercises (1) - 25%; Project - 25 %; Exam (Bonus) - 5%;

Academic Policies

Exam Policy: On-line Exam - Multiple Choice/True or False Questions (Format: Closed Books and Notes);  There will be NO MAKE-UP for a missed exam without prior approval from the instructor (with sufficient advance notice given) except in the case of a documented medical emergency.

Academic Dishonesty Policy: Students are reminded that University policies pertaining to academic dishonesty commonly found in both UG and G catalogs will be applied in this course (any form of cheating on exams or plagiarism on assigned homework and projects will result in an F grade and further suspension or expulsion from the University with NO warnings given). It is the student's responsibility to review and understand USF and EE Department policies and procedures on Acdemic Conduct, Dishonesty, and Disruption.

Attendance Policy: Students who anticipate the necessity of being absent from class due to the observation of a major religious observance must provide notice of the date(s) to the instructor, in writing, by the second class meeting.