EEL 6935/4935 - DSP/FPGA Lab for Software Defined Radio

Prerequisites: EEL 4102 - Linear Systems Analysis; Recommended prerequisite for Graduate Students: EEL 6502 - DSP I; 

Prerequisites by Topic:

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

Development of real-time 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 sampling, 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 real-time digital signal processing systems from algorithms to hardware using DSP, FPGA and hybrid DSP/FPGA rapid prototyping platforms. Several structured laboratory exercises such as sampling, convolution, spectral analysis (FFT), filtering (FIR/IIR) will introduce the students to fundamental theory, design of algorithms using software such as MATLAB and implementation using hardware platforms. This is followed by detailed projects on wireless and digital communications, adaptive filters, speech processing, etc..

• 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: TBA

Dr. Huseyin Arslan, Assistant Professor of Electrical Engineering

• Office Phone: (813) 974-3940; Office Location: ENB 361;
•  E-mail: arslan@eng.usf.edu
• Office Hours: TBA

Teaching Assistants: Hasari Celebi

• Office Phone: (813) 974-0761; Office Location: ENB 381;
•  E-mail: hcelebi@eng.usf.edu
• Office Hours: TBA

Ying Zhang

• Office Phone: TBA; Office Location: TBA
•  E-mail: yzhang11@csee.usf.edu
• Office Hours: TBA

Lecture: T  10:00-11:45 am; ENB 110
Lab Session 1: T 2:00-6:00 pm; ENB 237
Lab Session 2: W 2:00-6:00 pm; ENB 237

Office Hours: Generally Open door policy;
Specific Hours: See individual instructors and TAs hours listed above
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)

Useful Links

• Mathworks Student Center (Matlab and Simulink Tutorials): http://www.mathworks.com/academia/student_center/tutorials/?link=body
• Xilinx University Resource Center: http://xup.msu.edu/
• Texas Instruments DSP University Program:
http://focus.ti.com/general/docs/university/univhome.tsp?templateId=5807&navigationId=10538&path=templatedata/cm/univgen/data/univ_ovw

Lab Procedures

• Pre-lab Assignment:Performing some initial simulations using Matlab code.
• 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:

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;
Fourier Transform (DFT/FFT), Windows and Spectral Analysis;
FIR and IIR Filters;

Simulate the lab exercises using MATLAB/Simulink

Digital Communications: On-Off- Keying (OOK), BPSK modulation, and a simple transceiver design
Adaptive Filtering: Echo/Noise Cancellation, Least Mean Square (LMS) algorithm (2 weeks)
Wireless Communications: Equlaization, Simple Detection Algorithm, OFDM
Speech Processing: Linear and Cepstral Prediction Algorithms, Speech Classification and Synthesis

Grading Policy:

Grades will be decided based on

Lab Exercises and Quizzes (5+2) - 50 %; Project - 30 %; Exam - 20%;

Academic Policies

Exam Policy: TBA;  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.