https://wiki.eecs.yorku.ca/course_archive/2007-08/F/6221/ 2026-05-12T22:15:32+00:00 https://wiki.eecs.yorku.ca/course_archive/2007-08/F/6221/ https://wiki.eecs.yorku.ca/course_archive/2007-08/F/6221/_media/wiki:dokuwiki-128.png text/html 2007-09-04T20:28:08+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2007-08/F/6221/contact?rev=1188937688&do=diff Contact Instructor Amir Asif, PhD, PEng, SM-IEEE Department of Computer Science and Engineering York University Office Hours: Mondays and Wednesdays 3:00 p.m. to 4:00 p.m. in CSEB 3028. You may contact the course director by e-mail (last_name@cse.yorku.ca) at any time. text/html 2007-07-31T19:53:17+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2007-08/F/6221/course_outline?rev=1185911597&do=diff Course Outline The course outline is a guideline to topics that will be discussed in the course, and when they will be discussed: Week 1 Your notes here. Week 2 Midterm Drop Deadline Week 13 Final Exam text/html 2007-09-18T14:33:30+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2007-08/F/6221/faq?rev=1190126010&do=diff Frequently Asked Questions Answers to frequently asked questions will be posted here. ---------- Assignment 1: Problem 5(d): Any hints for this question? I know we can use Euler's formula to express sin(x)as [e^(jx) - e^(-jx)] / 2. Is this what you're looking for? text/html 2007-11-24T15:04:38+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2007-08/F/6221/final?rev=1195916678&do=diff The date for the final exam has been finalized as Dec. 10. The final exam will be held in CSEB3033 from 1:30 p.m. to 4:30 p.m. The final exam is comprehensive and will cover the following sections of the text. * Chapter 1 Introduction * Chapter 2 Review of DT Signal Processing and Linear Algebra (Sections 2.0 – 2.4) text/html 2007-08-02T17:22:57+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2007-08/F/6221/forums?rev=1186075377&do=diff Forums This page acts as a future placeholder for a link to a forum system. text/html 2007-10-15T19:03:42+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2007-08/F/6221/grades?rev=1192475022&do=diff Grades The weight distribution of the course components is as follows: * Quizzes based on Assignments: 30% * Mid-term Exam: 20% * Final Exam: 30% * Project: 20% You can view your marks here. Conversion from numeric to letter grade is applied to the overall mark only and in accordance with the following departmental standard: text/html 2007-11-24T14:59:15+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2007-08/F/6221/important_dates?rev=1195916355&do=diff Important Dates The important dates for the course will be listed here. * Dec. 10, 2007: Final exam. * Dec. 03, 2007: Class presentations. * Nov. 28, 2007: Code and solution to the Matlab exercise in assignment 5 must be submitted to the instructor. text/html 2007-10-30T16:03:20+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2007-08/F/6221/midterm1?rev=1193760200&do=diff The midterm exam will be held on Wednesday, November 7, 2007 in BS 164 in the normal class times (1:00 – 2:30 p.m.) It is your responsibility to come on time as no extra time will be given to the late comers. The scope of the exam will be the materials covered in the class till the due date of the midterm including the assignments and quizzes. The following sections from the text are covered. text/html 2007-09-04T15:15:22+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2007-08/F/6221/policies?rev=1188918922&do=diff Policies Academic Dishonesty Academic honesty requires that students do not falsely claim credit for the ideas, writing or other intellectual property of others, either by presenting such works as their own or through impersonation. Similarly, academic honesty requires that students do not cheat (attempt to gain an improper advantage in an academic evaluation), nor attempt or actually alter, suppress, falsify or fabricate any research data or results, official academic record, application or… text/html 2007-11-26T16:38:29+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2007-08/F/6221/presentation?rev=1196095109&do=diff Paper presentations will be held on Dec. 3 in CSEB3033 from 1:00 to 2:30 p.m. Please design your presentations for a duration of 15 minutes. You will have access to a projector and power point for your presentation. Your presentatuion should discuss the problem, the algorithms used, and the results. Please being a copy of the paper for the instructor. text/html 2007-09-04T15:27:59+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2007-08/F/6221/resources?rev=1188919679&do=diff Resources Important links and downloadable resources will be posted here. * Department of CSE Home Page * York Exam Schedule text/html 2024-03-08T14:02:31+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2007-08/F/6221/sidebar?rev=1709906551&do=diff * What's New * Important Dates * Grades * Assignments * Contact * Policies * Resources * Text and Reference Books * FAQs * Presentation * Midterm Exam * Final Exam text/html 2007-09-04T15:16:54+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2007-08/F/6221/start?rev=1188919014&do=diff COSC6221: Statistical Signal Processing Description This course provides an introduction to the theory and algorithms of stochastic signals and their applications to the real world. Discrete random variables, random vectors, stochastic processes, and random fields are introduced followed by frequently encountered random processes including the white noise, Gaussian processes, Markov processes, Poisson processes, and Markov random fields. Current methods used in statistical signal processing in… text/html 2007-09-04T15:19:07+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2007-08/F/6221/textbook?rev=1188919147&do=diff Text Book and Reference Books Text Hayes, M. H., Statistical Digital Signal Processing and Modeling, John Wiley & Sons, 1996. ISBN 0-471-59431-8. You may purchase this book through the York University Bookstore. Reference Books * H. Stark and J. W. Woods, Probability and Random Processes with Applications to Signal Processing, NJ: Prentice Hall, Third edition, 2002. ISBN # 0-13-020071-9. text/html 2007-12-17T16:28:13+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.eecs.yorku.ca/course_archive/2007-08/F/6221/whats_new?rev=1197908893&do=diff What's New? Announcements pertaining to the course and any changes to the web site of section P will be logged here in reverse chronological order. Please make sure to visit this link on a regular basis. * Dec. 17, 2007: Final grades have been posted under the Grades menu.