Discrete Time Signal Processing 3rd Solution 0131988425
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Course Homepages: USF Web Portal (secure): (access my USF Online and Blackboard) Others: sankar/teaching.html (links to the above sites can be found here)WEB students can view the course webcasts from the Blackboard using ElluminateTopics to be covered: Linear System Theory - Discrete Time Signals and Systems (Ch. 2) The Z-Transform (Ch. 3) Sampling Theory (Ch. 4) Transform Analysis of LTI Systems (Ch. 5) Structures for Discrete-Time Systems (Ch. 6) Discrete Fourier Transform (DFT) (Ch. 8) Fast Fourier Transform (FFT) (Ch. 9) Filter Design Techniques (Ch. 7) Signal Processing Applications Grading Policy: Grades will be decided based on Computer-based homework exercises (30%)MID-TERM Exam (30%) - (tentative date: October 25, Tuesday) FINAL Comprehensive Exam (40%) - (tentative date: Final Exam Week - December 6, Tuesday) There will be four MATLAB based computer exercises (10 problems). There will be NO MAKE-UP for a missed test without prior approval.Specialization: This is an elective course for undergraduate students (junior/senior EE major) who wish to specialize in the communications and signal processing program. This is a dual listed first level graduate course (a recommended core course for students in the communications and signal processing track). It is also a recommended course for the wireless certificate program, the biomedical systems track and other associated programs.
guarantees that the original signal can be reconstructed as accurately as desired from acorresponding sequence of samples if the samples are taken frequently enough. In discussing the theory of discrete-time signals and systems, several basic se-quences are of particular importance. These sequences are shown in Figure2 willbe discussed next. The unit sample sequence (Figure2) is defined as the sequence
The unit sample sequence plays the same role for discrete-time signals and systems thatthe unit impulse function (Dirac delta function) does for continuous-time signals andsystems. For convenience, we often refer to the unit sample sequence as a discrete-timeimpulse or simply as an impulse. It is important to note that a discrete-time impulsedoes not suffer from the mathematic complications of the continuous-time impulse; itsdefinition in Eq. (2) is simple and precise.
The purpose of this intermediate electronics course, focused on signals, is to provide students with Fourier's discrete, rapid analytical transformation tools, which are necessary to analyze discrete signals and thus design and develop applications for digital signal processing. The course puts special emphasis on the design of discrete filters. Requires previous knowledge of Fourier's series and transform, discrete signals, linear systems, Z-transform and active filters. The learning outcome of this course is for students to approach solutions to problems using system-design methodologies for processing digital signals. Students apply mathematical concepts related to signals and systems in order to analyze and design discrete systems, filtered structures and other key algorithms for digital signal processing. To achieve this, students implement these algorithms in software tools. They understand the importance of digital signal processing as fundamental for the implementation of modern signal-processing systems through development of a practice project.
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