EE 314 Signal and Linear System Analysis

1. EE 314 Signal and Linear System Analysis Course Overview and Introduction EE 314 Signal and Linear System Analysis

2. Course Overview • Course Web Page: • Directly: mercury.pr.erau.edu/~bruders/ • Canvas • Required Textbook: • "Engineering Signals and Systems, 2nd Edition" by Fawwaz T. Ulaby and Andrew E. Yagle • Software/Hardware Usage: • MATLAB software and digilentAnalog Discovery H/W • Pre-Requisite: • EE 223 Linear Circuits and MA 345 Diff Eq & Matrix Methods EE 314 Signal and Linear System Analysis

3. Course Overview • Lectures: • MWF 10:00 a.m. - 10:50 a.m. in KEC 132 • Labs: • Section 51PC: Tuesday 10:35 to 1:15 pm in STEM 110 • Section 50PC: Tuesday 1:25 to 4:05 pm in STEM 110 • Instructor: • Dr. Stephen Bruder • Office: King Eng. Rm. 108 • Email: bruders@erau.edu • Office Hours: • M/W/F 1 to 3 pm and Tue 8:30 am to 9:30 am Labs start on Tuesday 3rd Sept. EE 314 Signal and Linear System Analysis

4. Course Overview • Course Description: • This course includes discussions of signals and systems, convolution, continuous time signals, spectra of continuous time signals, time-domain and spectral analysis of continuous time signals, Laplace transforms, discrete time signals, spectra of discrete time signals, time-domain and spectral analysis of discrete time signals, and the Z-transform. EE 314 Signal and Linear System Analysis

5. Course Overview • Course Objectives: • Provide students with a basic understanding of how signals and linear systems interact • Examine both continuous and discrete signals • Analyze both continuous and discrete systems • Lay the foundation for further studies in control, communications, signal processing, etc • Grading Scheme: EE 314 Signal and Linear System Analysis

6. Course Overview • Grading Scheme: • Weekly homework assignments: 25 % • Homework will be assigned on a Mon/Wed and due the following Mon/Wed • Late submissions will NOT be accepted • Two Mid-Term exams (Open book/notes): 40 % • Mid #1: 11:15 -1:15 & 1:25 -3:25 Tue, Sept 24 in STEM 110 • Mid #2: 11:15 - 1:15 & 1:25 - 3:25 Tue, Oct 29 in STEM 110 • Final Exam (Open book/notes): 30 % • 10:15 a.m. to 12:15 p.m. on Thur, Dec 12 in in KEC 132 • Class Participation / Quizzes: 5% • Attend classes and attempt all ungraded quizzes EE 314 Signal and Linear System Analysis

7. Academic Integrity/Conduct Embry-Riddle is committed to maintaining and upholding intellectual integrity. All students, faculty, and staff have obligations to prevent violations of academic integrity and take corrective action when they occur. The adjudication process will include the sanction imposed on students who commit the following academic violations, which may include a failing grade on the assignment, a failing grade for the course, suspension, or dismissal from the University. • Plagiarism: Presenting as one’s own the ideas, words, or products of another. Plagiarism includes use of any source to complete academic assignments without proper acknowledgment of the source. • Cheating is a broad term that includes the following: • Giving or receiving help from unauthorized persons or materials during examinations. • The unauthorized communication of examination questions prior to, during, or following administration of the examination. • Collaboration on examinations or assignments expected to be individual work. • Fraud and deceit, which include knowingly furnishing false or misleading information or failing to furnish appropriate information when requested, such as when applying for admission to the University. EE 314 Signal and Linear System Analysis

8. Course Outline • Course Description • Continuous time: • Signals: • Properties, transformations, … • Basic types: Impulse, step, ramp, … • Fourier series • Sampling theorem • Linear Systems: • Response, properties, • Convolution, Laplace Transform, Fourier transform, transfer function, • Parseval’s theorem EE 314 Signal and Linear System Analysis

9. Course Outline • Course Description • Discrete time: • Signals: • Nyquist theorem and aliasing • Properties, transformations, … • Difference equations • Linear Systems: • Response, properties, • Discrete Convolution, Z-Transform, Discrete Fourier transform, discrete transfer function, … • Filters Detailed Class Schedule: (from webpage) EE 314 Signal and Linear System Analysis

10. Introduction to Signals & Systems • What is a signal? • A signal can be a waveform which contains information • A force produced by an engine acting on a car • A voltage signal into (or out from) a circuit • An acoustic pressure wave incident on your eardrum • Physical units of a signal depend on the area of application • E.g., V, mA, m/sec, Pa, C, … • Typically, signals vary with time (independent variable) • Classification of Signals: • Signals can be causal, continuous, discrete, digital, periodic, … ECG Signal EE 314 Signal and Linear System Analysis

11. Introduction to Signals & Systems • What is a System? • A system is a process or device that accepts an input signal to produce an output signal • A system modifies or transforms signals • E.g., A microphone converts a sound pressure signal into an electrical signal EE 314 Signal and Linear System Analysis

12. Types of SignalsContinuous vs Discrete vs Digital • Causal vs Noncausal • Causal Signal: Does NOT start before time t = 0 • NoncausalSignal: Can start before time t = 0 MATLAB Code Lecture_01_cont_vs_discrete.m EE 314 Signal and Linear System Analysis

13. Types of SignalsContinuous vs Discrete vs Digital • Continuous vs Discrete vs Digital • Continuous: Uniquely defined for all real values of t • Discrete:Signal is definedonly at • i.e. discrete time • Digital:Signal is discretein both time andamplitude MATLAB Code Lecture_01_cont_vs_discrete.m EE 314 Signal and Linear System Analysis

14. Types of SignalsContinuous vs Discrete vs Digital • Discrete vs Digital 710 = 01112 6.6844 6.6844 EE 314 Signal and Linear System Analysis

15. Next Lecture • Signal Transformations • Time-shift and time-scaling • Reading Assignment: Chap. 1.1 - 1.2 EE 314 Signal and Linear System Analysis