Midterm #2 for the Fall 2018 semester will be on Tuesday, Nov. 20th, during lecture time (12:30pm to 1:45pm) in

- EER 0.810 (seats 32) for the 16 last names that begin with S or T
- EER 1.516 (seats 122) for everyone else

You might consider bringing pens or pencils of different colors to help you in drawing different cases in graphical "flip-and-slide" convolution.

- Chapter 5: FIR Filters
- Chapter 6: Frequency Response of FIR Filters
- Chapter 7: z-Transforms
- Chapter 8: IIR Filters
- Chapter 9: Continuous-Time Signals and LTI Systems

- Slides for lectures 7-13
- Presentations and discussions for lecture 7-13 slides
- Homework 4-8 assignments and their solutions
- Mini-project #2 assigment and its solution
- Handouts C-J, O, and U
- Canvas announcements

There will likely be five questions on midterm #2. There will be no questions about Matlab.

A review of midterm #2 material is available from a previous offering of the course. We haven't covered the material on the Laplace transform yet.

*Signal Processsing First*chapter 5 on FIR Filters is*DSP First*chapter 5.*Signal Processsing First*chapter 6 on FIR Filters is*DSP First*chapter 6.*Signal Processsing First*chapter 7 on z-transforms is*DSP First*chapter 9.*Signal Processsing First*chapter 8 on IIR filters is*DSP First*chapter 10.

- Fall 2018 without solutions and with solutions
- Fall 2017 without solutions and with solutions
- Summer 2016 without solutions and with solutions
- Fall 2010 without solutions and with solutions
- Spring 2009 without solutions and with solutions
- Fall 2005 without solutions and with solutions
- Fall 2003 without solutions and with solutions
- Fall 2001 without solutions and with solutions
- Spring 2001 without solutions and with solutions
- Fall 1999 without solutions and with solutions

**Midterm #1 Questions**- Midterm #1, Summer 2016, Problem 4. Continuous-Time Convolution. "Zero state" means that the system state is zero; i.e., the initial conditions are zero. So, the systems in this problem are linear and time-invariant. In problem 4(b), please note that δ(t) is the Dirac delta even though the plot of h(t) seems to imply otherwise.
- Midterm #1, Summer 2016, Problem 5. Discrete-Time Convolution. "Zero state" means that the system state is zero; i.e., the initial conditions are zero. So, the systems in this problem are linear and time-invariant.
- Midterm #1, Fall 2010, Problem 1.2. Convolution.
- Midterm #1, Fall 2010, Problem 1.3. Continuous-Time System Properties.
- Midterm #1, Fall 2010, Problem 1.4. Discrete-Time Convolution. This problem asks us to design an equalizer. In part (b), one obtains g[n] = b0 delta[n] + a1 g[n-1]. This is in the form of a first-order difference equation with input signal delta[n] and output signal g[n]. That is, g[n] is the impulse response of the LTI system. A characteristic root is the same as a pole in the transfer function in the z-domain for an LTI system.
- Midterm #1, Fall 2010, Problem 1.5. Discrete-time systems part only. We haven’t covered most of the continuous-time systems mentioned in the answer.
- Midterm #1, Spring 2009, Problem 1.2. Continuous-Time Convolution.
- Midterm #1, Spring 2009, Problem 1.3. Continuous-Time Tapped Delay Line.
- Midterm #1, Spring 2009, Problem 1.4. Potpourri. Signal Properties, System Properties.
- Midterm #1, Fall 2005, Problem 1.3. Continuous-Time Tapped Delay Line.
- Midterm #1, Fall 2005, Problem 1.4. Continuous-Time System Properties.
- Midterm #1, Fall 2005, Problem 1.5. Potpourri. We haven’t covered 1.5(b) part ii yet.
- Midterm #1, Fall 2003, Problem 1.2. Discrete-Time System Response (Convolution). This problems asks us to convolve an exponential signal in discrete time with itself Please see Case #2 in Handout E Convolution of Exponential Sequences.
- Midterm #1, Fall 2003, Problem 1.3. Continuous-Time Tapped Delay Line.
- Midterm #1, Fall 2003, Problem 1.4. Differentiator.
- Midterm #1, Fall 2003, Problem 1.5. Potpourri. Convolution, resonators, and oscillators.
- Midterm #1, Fall 2001, Problem 1.2. Continuous-Time Convolution.
- Midterm #1, Fall 2001, Problem 1.3. Continuous-Time System Properties.
- Midterm #1, Spring 2001, Problem 1.2. Continuous-Time Convolution.
- Midterm #1, Spring 2001, Problem 1.3. Discrete-Time Tapped Delay Line.
- Midterm #1, Spring 2001, Problem 1.4. Step Response.
- Midterm #1, Fall 1999, Problem 1.2. Continuous-Time Convolution.

**Midterm #2 Questions**- Midterm #2, Summer 2016, Problem 2.3, Z-Transforms
- Midterm #2, Summer 2016, Problem 2.4, Discrete-Time LTI Oscillator with Infinite Impulse Response
- Midterm #2, Spring 2009, Problem 2.1, Difference Equation
- Midterm #2, Spring 2009, Problem 2.2, Discrete-Time Convolution
- Midterm #2, Spring 2009, Problem 2.3, Discrete-Time Tapped Delay Line
- Midterm #2, Spring 2009, Problem 2.5a, Discrete-Time Convolution
- Midterm #2, Fall 2003, Problem 2.2, Z-Transforms
- Midterm #2, Fall 2003, Problem 2.4, Transfer Functions and Frequency Responses for a Discrete-Time LTI System
- Midterm #2, Spring 2001, Problem 2.1, Solving a Difference Equation
- Midterm #2, Spring 2001, Problem 2.2, Discrete-Time Impulse and Step Responses
- Midterm #2, Spring 2001, Problem 2.5(a) and (b), Discrete-Time Filter Design
- Midterm #2, Fall 1999, Problem 2.3, Discrete-Time Tapped Delay Line
- Midterm #2, Fall 1999, Problem 2.4, Discrete-Time Transfer Functions

**Final Exam Questions**- Final Exam, Summer 2016, Problem 3, Discrete-Time Fourier Transform
- Final Exam, Summer 2016, Problem 4, Discrete-Time Frequency Response
- Final Exam, Summer 2016, Problem 5, Discrete-Time Filter Design
- Final Exam, Summer 2016, Problem 7, Continuous-Time Convolution
- Final Exam, Summer 2016, Problem 8, Discrete-Time Averaging Filters
- Final Exam, Fall 2010, Problem 4, Discrete-Time Stability
- Final Exam, Fall 2010, Problem 6, Discrete-Time Filter Analysis
- Final Exam, Fall 2010, Problem 7, Discrete-Time Filter Design
- Final Exam, Spring 2009, Problem 3, Discrete-Time Convolution and Continuous-Time Convolution
- Final Exam, Spring 2009, Problem 6, Discrete-Time Filter Analysis
- Final Exam, Spring 2009, Problem 7, Discrete-Time Filter Design
- Final Exam, Fall 2005, Problem 4a, Discrete-Time Convolution
- Final Exam, Fall 2005, Problem 6, Discrete-Time Filter Analysis
- Final Exam, Fall 2005, Problem 7, Discrete-Time Filter Design
- Final Exam, Fall 2003, Problem 4, Z-Transforms
- Final Exam, Fall 1999, Problem 1, Difference Equations
- Final Exam, Fall 1999, Problem 2, Discrete-Time Convolution
- Final Exam, Fall 1999, Problem 8e, Discrete-Time Filter Design

Last updated 11/23/18. Send comments to bevans@ece.utexas.edu.