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Microcomputer Systems 1

Microcomputer Systems 1. Course Info. Syllabus. ECE 3551 MICROCOMPUTER SYSTEMS 1 CRN 85113 Instructor: Dr. Veton Këpuska Contact Info: Olin Engineering Building, Office # 353 Tel. (321) 674-7183 E-mail: vkepuska@fit.edu http://my.fit.edu/~vkepuska/ece3551

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Microcomputer Systems 1

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  1. Microcomputer Systems 1 Course Info

  2. Syllabus • ECE 3551 MICROCOMPUTER SYSTEMS 1 • CRN 85113 • Instructor: • Dr. Veton Këpuska • Contact Info: • Olin Engineering Building, Office # 353 • Tel. (321) 674-7183 • E-mail: vkepuska@fit.edu • http://my.fit.edu/~vkepuska/ece3551 • http://my.fit.edu/~vkepuska/web • GSA: Veton Këpuska

  3. Syllabus • Textbook(s): • Reference Material: • Embedded Signal Processing with the Micro Signal ArchitectureBy Woon-Seng Gan and Sen M. KuoWiley-Interscience, 2007ISBN: 978-0-471-73841-1 • The Scientist and Engineer's Guide to Digital Signal ProcessingBy Steven W. Smith, Ph.D. • http://www.dspguide.com/ • http://my.fit.edu/~vkepuska/ece3551/The%20Scientist%20end%20Engineer's%20Guide%20to%20Digital%20Signal%20Processing/ch1.htm • “An Introduction to Statistical Signal Processing”, Robert M. Gray and Lee D. Davisson, Information Systems Laboratory Department of Electrical Engineering Stanford University and Department of Electrical Engineering and Computer Science University of Maryland • http://my.fit.edu/~vkepuska/ece3551/Introduction%20to%20Statisical%20Signal%20Processing/sp.pdf • Class Notes: • http://my.fit.edu/~vkepuska/ece3551 • Recommended Grading Policy: • Project(s): 50% • Lab(s): 30% • Test(s): 20% Veton Këpuska

  4. Course Outline • Learn Embedded System Programming: • DSP Hardware included in Arduino and Rapbery Pi chip (https://www.arduino.cc/) • C Programming Language • MATLAB • Basic Digital Signal Processing concepts. Veton Këpuska

  5. Course Outline (cont.) • Digital Signal Processing Techniques • Interfacing Audio Signal and driving the speakers with Audio, and other signals. • Filtering Audio input Signal to produce Audio Output. • FIR & IIR Filters • Special Effects • Flanger effect, • Chorusing, • Reverberation, etc. • Arduino Applications: • Raspberry Pi: Veton Këpuska

  6. END Veton Këpuska

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