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CE 40763 Digital Signal Processing Fall 1993 Course Introduction

CE 40763 Digital Signal Processing Fall 1993 Course Introduction. Hossein Sameti Department of Computer Engineering Sharif University of Technology. Course Information. Hossein Sameti, CE, SUT, Fall 1992. Prerequisite : Lectures: Time: Sundays/Tuesdays 9:00 – 10:30 Location: CE 202

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CE 40763 Digital Signal Processing Fall 1993 Course Introduction

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  1. CE 40763Digital Signal ProcessingFall 1993Course Introduction HosseinSameti Department of Computer Engineering Sharif University of Technology

  2. Course Information Hossein Sameti, CE, SUT, Fall 1992 • Prerequisite: • Lectures: • Time: Sundays/Tuesdays 9:00 – 10:30 • Location: CE 202 • Lecturer: HosseinSameti • Email: sameti@sharif.edu • Tel: 021 6616 6637 • Office: Comp. Eng. 706 • Office Hours: By appointment

  3. Teaching Assistants Hossein Sameti, CE, SUT, Fall 1992 Zahra Gomar RuhollahZandieh MahnooshLa’lMohammadi Mohammad Saleh Hosseini ElahehKalantari Ali Alidoust FariborzTaherkhani

  4. Course Website Hossein Sameti, CE, SUT, Fall 1992 • Address: CE Courses • Access to all information (e.g., lecture notes) : • Password: 763fall93 • Lecture notes and other resources will be available online (gradually!). Please check the course website regularly for announcements, lecture notes, solutions, etc.

  5. Textbook Hossein Sameti, CE, SUT, Fall 1992 Alan V. Oppenheim, Ronald W. Schafer, John R. Buck, “Discrete-Time Signal Processing”, Prentice-Hall, 3rd edition, 2009 (ISBN: 0131988425)

  6. Recommended Readings Hossein Sameti, CE, SUT, Fall 1992 John G. Proakis, DimitrisManolakis, “Digital Signal Processing: Principles, Algorithms and Applications”, 4th Edition, Prentice Hall Steven W. Smith, “The Scientist and Engineer's Guide to Digital Signal Processing” (available online : http://www.dspguide.com) Robert D. Strum and Donald E. Kirk,“First Principles of Discrete Systems and Digital Signal Processing”, Addison Wesley Richard G. Lyons, “Understanding Digital Signal Processing”, Pearson Education Vinay Ingle and John G.Proakis, “Digital Signal Processing Using MATLAB”, Thomson-Engineering Matlab Tutorial: http://users.ece.gatech.edu/mcclella/SPFirst/MatlabMovies/

  7. Course Objectives Hossein Sameti, CE, SUT, Fall 1992 By the end of the course, we will develop a solid understanding of DSP fundamentals including: • Analog vs. digital signal representation and processing • Why DSP? advantages, limitations and fundamental tradeoffs • Relationship between frequency and time representations • Analysis and processing of signals in the temporal/spatial as well as in the frequency domain • Practical applications of DSP • Implementation of DSP algorithms using MATLAB

  8. Course Topics Hossein Sameti, CE, SUT, Fall 1992 Discrete-time signals and systems, linear time-invariant (LTI) systems and their properties The Z-transform and its application in the analysis of LTI systems Frequency domain representations including the Discrete-time Fourier transform (DTFT), Discrete Fourier transform (DFT) and fast Fourier transform (FFT) Design of digital filters (FIR, IIR) Realization of discrete-time systems Brief introduction to feature extraction and pattern recognition techniques Sampling and reconstruction , Analog/Digital and Digital/Analog converters Upsampling / downsampling, multi-rate signal processing DSP applications including audio signal processing and biomedical data analysis

  9. Evaluation Hossein Sameti, CE, SUT, Fall 1992 • Evaluation: • Weekly Assignments: 0% • Weekly Quizzes: 15% • Matlab Exercises: 10% • Course Project: 15% • Midterm exam:  20%  • Final Exam: 40%

  10. Assignments, TA classes, and Quizzes Hossein Sameti, CE, SUT, Fall 1992 Assignments will be posted on the course webpage with their due date At the due date, you are not expected to hand in your solutions, this is the date they will be discussed in the TA class TA classes are held on Sundays 12:15 – 13:15 at CE 007 One week after the TA class for each assignment is held, the quiz on the same chapter is taken

  11. Purpose of the Course Project Hossein Sameti, CE, SUT, Fall 1992 • Learn to identify a problem and propose a solution for solving that problem • Learn to deal efficiently with a real-world application • Get familiar with the multi-disciplinary nature of DSP • Improve your project management /time management skills by following strict deadlines • Improve your technical writing skills by writing a project proposal and a project report • Improve your communication skills by giving an efficient presentation • Practice team-work during different phases of the project

  12. Project Description Hossein Sameti, CE, SUT, Fall 1992 The course project constitutes 15% of the course evaluation. You can choose any topic related to digital signal processing. However, the topic should be approved by the instructor. Each group consists of three students (in exceptional cases, two students). Single-person projects are strongly discouraged and are subject to the instructor's approval. Students can notwork on the same or very similar research topics. Email the instructor as soon as you have decided on your topic, so that your priority is reserved. Students who need help with choosing a topic for the course project are encouraged to consult with the instructor.

  13. Project Topics Hossein Sameti, CE, SUT, Fall 1992 • Any topic related to DSP is acceptable. However, make sure that the topic is realistic and the work is doable in a short period. • Some research areas: • Medicine: analysis of biosignals, medical imaging,… • Speech, music, and audio: Speech recognition, speech verification, music synthesis, music emotion recognition, … • Security: biometrics, surveillance,… • Data management: data storage, compression, and retrieval,… • Financial: financial data analysis • Image processing: image denoising, image manipulation… • Computer/Machine vision: automatic object recognition and identification,…

  14. Project Evaluation/ Due Dates Hossein Sameti, CE, SUT, Fall 1992 • The break-down of the project evaluation is as follows: • Quality of the project: 40% • Quality of the final report: 25% • Oral presentation: 25% • Project proposal: 10% • Due Dates (strict deadlines): • Project proposal: 5 Aban1393 • Final report: your presentation date

  15. Project Proposal Hossein Sameti, CE, SUT, Fall 1992 • The project proposal includes a summary of the area you want to work on, the context, the significance, and the methodology. Clarify your work plan and schedule and what results are to be obtained. Please note that • A project proposal should include the title of the project, the name of the students who are working on the project and a brief description of the project. • Project proposals need to be approved before you start the course project. • Proposals should be returned on the due date in a written format. • Proposals can take up to two pages (single column, single-line spacing). You can include references and figures if needed. • Proposals will be graded and relevant feedback will be given to you. • Course project descriptions from previous years and a sample proposal will be posted on the course webpage later this week. The sample proposal can be used as the template.

  16. Writing Code Hossein Sameti, CE, SUT, Fall 1992 It is recommended to use available software and Matlab functions. Visit Matlab Central- File Exchange to find the files or packages that are developed by other users. However, you should check these files to make sure that they work properly. Guidelines for writing clean and efficient code will be posted on the course website later this week. Please properly cite the code and the work of others if you are using them. If you use others’ code, you need to clearly state your contribution in your project report. Your own code should be written in a clear manner and should be supplied as supplementary material.

  17. Project Report Hossein Sameti, CE, SUT, Fall 1992 The written report is expected to be 12-15 single-column, 1.5 line spacing pages. Reports are to be submitted in both soft copy and hard copy on the due date. You can provide clearly-explained and organized supplementary material separately (images, movies, etc).

  18. Project Report Hossein Sameti, CE, SUT, Fall 1992 • The report must follow the guidelines for an IEEE journal/conference proceedings paper (the template can be found on the course webpage). A typical report is a single document file that includes the following: • title, author, affiliation • abstract, keywords • introduction (application and problem description, background, related work/literature survey, short summary of submitted work,...) • description of data, images, etc. • methods (the proposed method, algorithmic details, equations/formula, pseudo-code, explanatory figures,...) • results (qualitative and quantitative, figures and tables,...) • summary and conclusions (summarize main contribution, problems encountered, possible future work,...) • references

  19. Oral Presentation Hossein Sameti, CE, SUT, Fall 1992 • An oral presentation is also required • Each project will be allocated 10 minutes: it includes setting up the computer and presenting the oral presentation. Questions and discussion will follow for 2 minutes. • Students are required to attend project presentations.

  20. Midterm and Final Exams Hossein Sameti, CE, SUT, Fall 1992 Midterm exam accounts for 20% and the final exam accounts for 40% of the overall mark. Date of the mid-term: Tuesday 27 Aban at 5 PM The emphasis of the final exam will be on the topics covered after the mid-term. You can bring one piece of paper (double-sided) to the mid-term exam and two pieces of paper (double-sided) to the final exam. You can write anything on it (formulae, figures, drawings, solutions to the problems, text, poems, etc!).

  21. HosseinSameti, CE, SUT, Fall 1992 Questions or comments?

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