Instructor: Kevin D. DonohueOffice: 689 FPATEmail: [email protected] Hours: Tuesday 3:00pm - 4:30pm Thursday 9:00am - 11:00amPhone: 859-257-4004TA: Mr. Yang LiuOffice: 520 CRMSEmail: [email protected] Hours: Friday 1:00pm-3:00pmTexts:Lab Report Format: Lab reports must be prepared with a word processor and organized according to the following format:EE 422G (Sections 01 02)Signals & Systems Laboratory, Spring 20091Instructor: Kevin D. Donohue Office: 689 FPAT Email: [email protected] Page: http://www.engr.uky.edu/~donohue/Office Hours:Tuesday 3:00pm - 4:30pmThursday 9:00am - 11:00amPhone: 859-257-4004TA: Mr. Yang Liu Office: 520 CRMS Email: [email protected] Office Hours:Friday 1:00pm-3:00pmTexts:1. EE 422G Lab Notes2. Signals and Systems, 3rd ed., CT Chen, Oxford Press, ISBN-13: 9780195156614 (same texts as used in EE421G)Expected Student Learning OutcomesStudents successfully completing this course must be able to:1. Characterize random signals with correlation and probability density functions2. Analyze discrete-time signals with the (discrete) Fast Fourier transform.3. Design FIR and IIR filters based on signal and noise specifications.4. Characterize system dynamics using impulse responses, transfer functions, and state-variable representations. 5. Simulate signals and systems using modern computer software packages6. Design experiments to estimate signal and system model parameters from input and/or output data.Course SummaryLectures present new material on state variables and applications of random variables, as well as review topics from EE421G. Laboratory exercises provide opportunities for student to apply and implement concepts used in signals and systems to solve problems using modern engineering methods. Topics include noise models, filter design, modulation techniques, sampling, discrete Fourier Transforms, State Variable Models, and feedback design with an emphasis on using computer software for analysis and simulation.PrerequisitesEE 421G and MA320. Students taking EE 422G must be able to: apply convolution and Fourier methods to determine the output of linear time-invariant systems, Analyze continuous-time and discrete-time systems with appropriate transforms. Characterize input-output relationships of linear time-invariant discrete-time systems using impulse response and transfer function representations, model random variation with distribution functions. Also it is helpful to have a background in matrix algebra and experience with programming languages such as Matlab and C++.Class Email List: To receive relevant communications and homework assignments for this class you must register for the list at the following web site: http://lists.engr.uky.edu/mailman/listinfo/ee422Grading Undergraduate:Pre-lab assignments (8)Lab Team Plan (1)32% 4%Lab Reports (8)Demonstration (2)56% 8%Grading Graduate:Pre-lab assignments (8)Lab Team Plan (1)32% 4%Lab Reports (8)Lab Exercise Design56% 8%2Undergraduate Students: Grades will be assigned using a10-point scale (A: 90+% of total points assigned, B: 80+%, C: 70+%, D: 60+%, E: Less than 60%. Graduate Students: Grades will be assigned using a10-point scale (A: 90+% of total points assigned, B: 80+%, C: 70+%, E: Less than 70%. Laboratory Reports: Each laboratory assignment is made up of two parts; the pre-lab (analysis and programming) and corresponding lab exercise (implement, measure, and interpret). The lab report will be due at the beginning of the next laboratory section meeting. Late assignments will be accepted with a 0.25 point per day penalty. You may work in groups up to 3 students in the laboratory; where the group turns in a single pre-lab assignment and a single lab report. The report is graded on organization, completeness, clarity, and accuracy. All lab reports must be prepared in a word processor and printed out. Programs written for the lab must be commented and placed in an appendix of the lab report. In the case of LabVIEW and Simulink programs, a screen shot of the block diagram (with descriptive labels) must be taken and included as figures in the lab report.Pre-Lab Assignments: Pre-lab assignments typically involve an analysis/synthesis of the system used in the experiment, or the development of a program template to be used in the lab assignment. The responses to the pre-lab questions must be handed in at the end of the lab period where the lab assignment was performed. You can hold on to the pre-lab assignment during the lab to use as a reference. There will NOT BE enough time to do the pre-lab and the lab exercise in the 3 hour allotted period. If you do not finish the experiment in the 3 hour time period, you will NOT be allowed extra time. The pre-lab assignments can be handwritten, but must be legible and organized. The pre-lab is graded on completeness, clarity, and accuracy. Lab Report Format: Lab reports must be prepared with a word processor and organized according to the following format:- Title Page: This includes your name, lab partner's name, title of lab experiment, date of experiment, and date of completing the final write up. - Objectives: Restate (copy) objectives from the lab assignment.- Solution/Procedure Description: For each lab you need to implement a design that was either presented in the lab assignment or the result of a pre-lab exercise. The reader should be able to repeat your results based on the description provided (without reference to the original lab assignment document). Solutions or implementation strategies for each lab assignment will have multiple procedures and you need to describe each one. If a program was written to implement a solution, do not copy and past the program in the text. Describe what the program does (functional description) and include the actual code in an appendix. A flowchart may help clearlyexplain the program. The "how" questions for obtaining the results are answered in this section. When grading this section the reader will ask the question, "Can I repeat these measurements from the information given?" If itis not clear (as a result of missing, poorly organized, or ambiguous information), then points will be lost (3 points).- Presentation of Results: For each solution/procedure efficient methods and statistics must be used for presenting the results. This typically includes performance metrics presented in tables and/or waveforms in figures. All axes must be labeled as well as columns and rows