Ece436 437syllabus PDF

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ECE 437 (436) - Digital Signal Processing I (with Laboratory) 2013 Catalog Data:

ECE 437: Digital Signal Processing I. Credit 3. Discrete-time system analysis, discrete convolution and correlation, Z-transforms. Realization and frequency response of discrete-time systems, properties of analog filters, IIR filter design, FIR filter design. Discrete Fourier Transforms. Applications of digital signal processing. Credit will be given for either ECE 436 or ECE 437, but not for both. Prerequisite(s): [(BME 330) OR (ECE 308)] (3-03) (P) ECE 436: Digital Signal Processing I with Laboratory. Credit 4. Discrete-time system analysis, discrete convolution and correlation, Ztransforms. Realization and frequency response of discrete-time systems, properties of analog filters, IIR filter design, FIR filter design. Discrete Fourier Transforms. Applications of digital signal processing. Credit will be given for either ECE 436 or ECE 437, but not for both. Prerequisite(s): [(BME 330) OR (ECE 308)] (3-3-4) (C)(P)

Enrollment:

Elective course for CPE and EE majors.

Textbook:

J.G. Proakis, Introduction to Digital Signal Processing, Pearson Education, 3rd Edition, 1996.

Coordinator:

J. G. Brankov, Assistant Professor of ECE

Course goals: After completing this course, the student should be able to do the following: 1. Conduct fundamental time analyses of discrete-time signals and systems. 2. Analyze linear, time-invariant discrete-time system behavior using the Z-transform. 3. Conduct frequency analyses of discrete-time signals and systems using the discrete-time Fourier transform. 4. Apply the DFT (Discrete Fourier Transform) in the analysis of discrete-time signals. 5. Implement DFTs efficiently via FFT (Fast Fourier Transform) algorithms. 6. Design structures for the implementation of discrete-time systems. 7. Design basic digital filters. 8. Use computer-based analysis and design tools (such as MATLAB software) in the analysis and design of discrete time systems. Additional goals for ECE 436 only 9. Complete an engineering design that incorporates engineering standards and/or realistic constraints. 10. Prepare an informative and organized design project report. Prerequisites by topic: 1. Engineering mathematics 2. Fourier and Laplace transforms 3. Linear system analysis, including time and frequency domain representation of signals and systems Lecture schedule:

Three 50-minute sessions per week.

Laboratory schedule:

ECE 437: None. ECE 436: One 150-minute session per week.

Topics: 1. Discrete-Time Signals and systems, Applications, Convolution and correlation (1 week) 2. Fourier Analysis and Sampled Data Signals (2 weeks)

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Z Transform, Frequency Response and Realization (2 weeks) Design and Properties of Analog Filters (2 weeks) IIR Filter Design (2 weeks) FIR Filter Design (2 weeks) Discrete Fourier Transform and Properties (2 weeks) Fast Fourier Transform, FFT Convolution and Correlation (1 week) Exams (1 week)

Computer usage: Students use computers and MATLAB software to implement, design and analyze discrete time systems. Laboratory topics (ECE 436): 1. Introduction to the DSP LAB System and MATLAB signal processing software 2. MATLAB Functions (Matrix Operations, FFT, Convolution, Windows, Random Number Generators) 3. Sampling, Quantization and Aliasing Effects 4. System Realization, convolution, Correlation, Difference Equations 5. Transform, Inverse Z-transform, Frequency Response 6. Design and Evaluation of Low pass, High pass and Bandpass IIR filters 7. Design and Evaluation of FIR filters and Windows 8. Discrete Fourier Transform and Properties, 2D DFT algorithm 9. Fast Fourier Transform and Spectral Analysis Relationship of ECE 436 & 437 Course Goals to Student Outcomes:

Course Goals Course Goals ECE 437 ECE 436

Student Outcomes: a b c d e f g h i j k

Apply knowledge of math, engineering, science Design and conduct experiments/ Analyze and Interpret Data Design system, component, or process to meet needs Function on multi-disciplinary teams Identify, formulate, and solve engineering problems Understand professional and ethical responsibility Communicate effectively Broad education Recognize need for life-long learning Knowledge of contemporary issues Use techniques, skills, and tools in engineering practice

Prepared by: J. G. Brankov

Date: Oct. 18, 2013

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