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--- start [2008/08/29 19:34] – hchesser
+++ start [2015/09/28 00:14] (current) – hchesser
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 ===== Description  =====
-This course presents key mathematical techniques used to analyze continous and discrete signals and to design systems which produce or manipulate signals.  The techniques have wide application in industry to areas as diverse as computer vision, wireless communications and robotics.  Specific applications to basic systems such as filters, mechanical vibration and feedback control systems are discussed in class.  Lab activities and assignments include the use of tools such as Matlab to reinforce the concepts.
+The study of computer vision, graphics and robotics requires background in the concept of discrete signals, filtering, and elementary linear systems theory. Discrete signals are obtained by sampling continuous signals. Starting with a continuous time signal, students will review the concept of a discrete signal, the conditions under which a continuous signal is completely represented by its discrete version, and discuss the analysis and design of linear time-invariant systems. In particular, frequency selective filters in both discrete and continuous time domain will be developed. An accompanying lab will cover applications of the concepts covered in the lectures to practical problems such as speech and image processing.
+The following topics will be covered
+  * Continuous and discrete time signals
+  * Linear time-invariant systems
+  * Fourier analysis in continuous time
+  * Fourier analysis in discrete time
+  * Sampling
+  * Laplace transform
+  * Z transform
+  * Linear feedback systems
+  * Design of Continuous and discrete time frequency selective filters.
+===== Course Learning Outcomes  =====
+After successful completion of the course, students should be able to:
+  * Explain how continuous and discrete-time signals can be represented in both time and frequency domains
+  * Represent linear systems both as systems of differential/difference equations and in terms of frequency response
+  * Describe and use the principles of linear time invariant systems and the properties of Fourier and Laplace transforms
+  * Analyze the effects of discrete-time representation of continuous signals
+  * Design, build and measure continuous and discrete time frequency selective filters
+===== Course Contacts =====
+  * Course Director: Hugh Chesser – hugh DOT chesser AT lassonde DOT yorku DOT ca, [[http://www.yorku.ca/chesser|Web Site]]
+  * Teaching Assistants:
+    *  Mr. Markus Solbach (solbach AT cse DOT yorku DOT ca)
+    *  Mr. Mehdi Abasi (m DOT abasi DOT iut AT gmail DOT com)
 ===== Textbook =====
-M. Mandal and A. Asif, //Continuous-time and Discrete-time Signals and Systems//, Cambridge University Press, 2007, ISBN-13: 978-0-521-85455-9
+  * Mark Wickert, //Signals and Systems for Dummies//, John Wiley & Son, 2013, ISBN: 978-1-118-47581-2
 ===== Lectures =====
-  * Tuesdays and Thursdays, 1:00pm - 2:30pm, ACW 307
+  * Tuesdays and Thursdays, 1:00pm - 2:30pm, ACW 106
 ===== Labs =====
-  * Mondays, 1:30pm - 4:30pm, CSE 3057
+  * Mondays, 2:30pm - 5:30pm, LAS 3057
-  * Fridays, 2:30pm - 5:30pm, CSE 3057
+  * Fridays, 1:30pm - 4:30pm, LAS 3057