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Material Type: Notes; Class: Digital Signal Processing I; Subject: Electrical and Computer Engr; University: University of Illinois - Urbana-Champaign; Term: Spring 2009;
Typology: Study notes
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Instructors: Prof. Narendra Ahuja Prof. Zhi-Pei Liang mail: [email protected] Email: [email protected] Teaching Assistants : Zixia Huang ([email protected]) Darren Pocci ([email protected]) Charles Spuckler ([email protected]) TA Office Hours: Mon 4:00-5:00pm, EL 369 (Charles) Tue 4:00-5:00pm, EL 369 (Charles) Tue 6:00-8:00pm, EL 369 (Zixia) Wed 3:00-4:00pm, EL 369 (Darren) Wed 5:00-6:00pm, EL 368 (Darren) Instructor Office Hours: Wed: 1:00-2:30pm: Beckman 2041 (Ahuja); Beckman 4257 (Liang) Text and References : There is one required text for this course, the ECE 410 Course Notes , which will be available for download on the course website, section by section, as needed in the course. More information about this and other recommended texts is available on the course web page. Homework : There will be weekly homework assignments (except for the exam weeks). Homework will be due at the beginning of the Thursday class, and late homework will not be accepted. In calculation of the final grade, the two bottom homework scores will be dropped to accommodate any and all unforeseen difficulties during the term. As such, there is no need to seek special attention or permission to skip one or two assignments. All course assignments, including homework, are to be completed in compliance with the course integrity code described below. Exams : There will be two mid-term exams and one three-hour final exam at the end of the semester. The exam will be closed book. However, you may bring one new 8.5 by 11-inch sheet of handwritten notes (both sides) to each exam, along with any such sheets from the previous exams. Thus, you may bring one sheet for exam 1, two for exam 2 and three for the final exam.
Course Grade : The final grade in the course will be determined by the following criteria: Homework: 15% Midterm Exam 1: 25% Midterm Exam 2: 25% Final Exam: 35% You will be able to view your recorded scores on the homework and exams, as well as the course statistics and distribution using Illinois Compass Grade Book. Course Objectives: Upon completion of this course, you should be able to: 1 Recognize the terminologies used in the Digital Signal Processing (DSP) field. 2 Explain the basic theory and concepts for the analysis and construction of DSP systems. 3 Analyze basic DSP building blocks, including analog-to-digital (A/D) and digital-to-analog (D/A) converters, digital filters, and spectrum analyzers. 4 Design and synthesize these building blocks and use them effectively in applications. 5 Evaluate DSP systems and justify choices among alternative designs. 6 Think critically, ask questions, and apply problem-solving techniques. Integrity : This course will operate under the following honor code: All students are expected to do their own work and turn in their own work for credit. Students may collaborate on homework assignments, but each student must turn in his or her own work that has been worked out independently of any other student. Seeking solutions from prior year handouts or copying of other student's work will not be permitted. By enrolling in this course and submitting homework or exams for grading, each student implicitly accepts this honor code. Communication: Watch the course website for announcements, homeworks, solutions, and all other relevant information.