Instructor(s) | Dafna Sussman [Coordinator] Office: ENG317 Phone: (416) 979-5000 x 3767 Email: dafna.sussman@ryerson.ca Office Hours: Fridays 9:30-10:30am (limited to 10min per student, by appointment) | ||||||||||||||||

Calendar Description | This course deals with the analysis of continuous-time and discrete-time signals and systems. Topics include: representations of linear time-invariant systems, representations of signals, Laplace transform, transfer function, impulse response, step response, the convolution integral and its interpretation, Fourier analysis for continuous-time signals and systems and an introduction to sampling. | ||||||||||||||||

Prerequisites | EES 604, CEN 199 | ||||||||||||||||

Antirequisites | ELE 532 | ||||||||||||||||

Corerequisites | None | ||||||||||||||||

Compulsory Text(s): | - Linear Systems and Signals, by B.P. Lathi, third edition 2018. ISBN: 0190200176.
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Reference Text(s): | |||||||||||||||||

Learning Objectives (Indicators) | At the end of this course, the successful student will be able to: - Learn important signal and system classifications for further processing. For example if a system is Linear and Time invariant, then output of the system to all inputs can be predicted using the impulse response and using convolution.
(
**3a**) - Learn frequency analysis of continuous-time signals and LTI systems and describe differences between Fourier transform and Fourier series analysis. Perform both Fourier transform and Fourier series in hypothetical design and analysis of signals and LTI systems. Analyze result of evaluation to detect if a continuous-time system is Linear Time-Invariant (LTI). To discern additional criteria. In case the system is LTI, additional characteristic of the system (impulse response of the system) is calculated to facilitate calculation and evaluation of the system's output. (
**4b**) - Select and perform strategies to generate information about continuous-time signals (properties such as power or energy finiteness) and systems (properties such as linearity, stability, causality) that may be used to modify, improve, or elaborate a design state. (
**4c**) - Understanding system property and limitation, fundamental problems in sampling. Learning the role of important signals such as sinc and delta and role of them in system design and analysis. (
**5a**) - Read and appropriately respond to technical and non-technical written instructions. Cites evidence to construct and support an argument. Produce four lab reports using appropriate format, grammar, and citation styles for technical and non-technical audiences. (
**7a**) - Illustrate concepts of continuous-time signals and systems through graphical presentation of their properties. (
**7c**) - Finding relationship between signals, building a signal based on other existing basis, signal modulation and its practical issues that can be well explained with the theory. (
**12a**)
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Course Organization | 3.0 hours of lecture per week for 13 weeks | ||||||||||||||||

Teaching Assistants | Binh Nguyen (binh.nguyen@ryerson.ca) Karl Magtibay (karl.magtibay@ryerson.ca) Matthew Basso (mnbasso@ryerson.ca) | ||||||||||||||||

Course Evaluation |
Note: In order for a student to pass a course with | ||||||||||||||||

Examinations | Midterm exam in Week 9, two hours, problem solving, closed book (covers Weeks 1-8). Final exam, during exam period, three hours, closed-book (covers Weeks 1-13 with emphasis on Weeks 9-13). | ||||||||||||||||

Other Evaluation Information | There are assigned problems for each chapter posted on the course D2L. The assignment will not be collected. However, students are expected to solve all problems in preparation for the quizzes and exams. Lab marks are based on attendance, successful completion of pre-lab problems, participation, completion of experiment steps, lab reports and successful reply to your TA questions during submission. Students will have the responsibility to achieve a working knowledge of the software packages that will be used in the lab. Students will work in groups of two. | ||||||||||||||||

Other Information | None |

Week | Hours | Chapters / | Topic, description |
---|---|---|---|

1-3 | 9 | Signals and Systems Representations | |

4-6 | 9 | Time-Domain Analysis of Continuous-Time Systems | |

7-9 | 3 | Continuous-Time Signal Analysis: The Fourier Series | |

9-11 | 9 | Continuous-Time Signal Analysis: The Fourier Transform | |

11-12 | 5 | Sampling: Discrete Time Signals | |

12-13 | 7 | The Laplace Transform |

Week | Lab | Description |
---|---|---|

2 | 0 | Matlab Introduction Tutorial (2hrs) |

3-4 | 1 | Signals and Systems Representations (4hrs) |

5-7 | 2 | Time-Domain Analysis of Continuous-Time Systems (4hrs) |

8-9 | 3 | The Fourier Series (4hrs) |

10-12 | 4 | The Fourier Transform (4hrs) |

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- Any changes in the course outline, test dates, marking or evaluation will be discussed in class prior to being implemented;
- Assignments, projects, reports and other deadline-bound course assessment components handed in past the due date will receive a mark of ZERO, unless otherwise stated. Marking information will be made available at the time when such course assessment components are announced.
- Refer to our
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When possible, students are required to inform their instructors of any situation which arises during the semester which may have an adverse effect upon their academic performance, and must request any consideration and accommodation according to the relevant policies as far in advance as possible. Failure to do so may jeopardize any academic appeals.

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Ryerson's Policy 60 (the Academic Integrity policy) applies to all students at the University. Forms of academic misconduct include plagiarism, cheating, supplying false information to the University, and other acts. The most common form of academic misconduct is plagiarism - a serious academic offence, with potentially severe penalties and other consequences. It is expected, therefore, that all examinations and work submitted for evaluation and course credit will be the product of each student's individual effort (or an authorized group of students). Submitting the same work for credit to more than one course, without instructor approval, can also be considered a form of plagiarism.

Suspicions of academic misconduct may be referred to the Academic Integrity Office (AIO). Students who are found to have committed academic misconduct will have a Disciplinary Notation (DN) placed on their academic record (not on their transcript) and will normally be assigned one or more of the following penalties:

- A grade reduction for the work, ranging up to an including a zero on the work (minimum penalty for graduate work is a zero on the work);
- A grade reduction in the course greater than a zero on the work. (Note that this penalty can only be applied to course components worth 10% or less, and any additional penalty cannot exceed 10% of the final course grade. Students must be given prior notice that such a penalty will be assigned (e.g. in the course outline or on the assignment handout);
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- More serious penalties up to and including expulsion from the University.

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