Brian K. Jennison is a principal staff engineer and assistant supervisor of the Electromagnetics Systems Group at the Johns Hopkins University’s Applied Physics Laboratory. He holds M.S. and Ph.D. degrees in Electrical Engineering from Purdue University and a BS in Electrical Engineering from the Missouri University of Science and Technology (formerly the University of Missouri at Rolla). Since joining JHU/APL, Jennison has worked on various signal processing projects in underwater acoustics, radar, and for other sensor systems. He currently teaches Signals & Systems and Digital Signal Processing, and previously taught Multirate Signal Processing and Multidimensional Digital Signal Processing in JHU’s Engineering for Professionals programs and served as chair of EP’s Electrical and Computer Engineering Program.
Clinton (Clint) L. Edwards is a member of the Senior Professional Staff at The Johns Hopkins University (JHU) Applied Physics Laboratory (JHU/APL) serving as a technology lead in the area of Space War Fighting and Tactics for national security applications.
Previously, from 2017-2020, Clint at Utah State University’s Space Dynamics Lab (USU/SDL) as the Branch Head for the Military Sensor Systems Branch within the Strategic & Military Space Division. At SDL he led a talented team of program managers in growing SDL’s portfolio and increasing SDL’s impact within the Department of Defense and Intelligence Community, leveraging SDL’s expertise in sensor systems. Programs and staff for this branch are located in Albuquerque, NM, Los Angeles, CA, Huntsville, AL and Logan, UT. Clint was detailed to DOD’s new Space Development Agency for the last year of being employed by USU/SDL and then returned to JHU/APL. There he lead the Custody Layer (ISR/Targeting) and Optical Crosslink (OISL) Communications.
While working with JHU/APL prior to SDL, Clint functioned as a Remote Sensing Technical Manager at The Johns Hopkins University (JHU) Applied Physics Laboratory (JHU/APL). He received his B.S., M.S., and Ph.D. degrees in Electrical Engineering from The University of Maryland, College Park. Clint has worked as a technical lead in the areas of electro-optical and infrared sensors and systems for the United States Government. His projects have included modeling stochastic processes relating to foliage penetration for optical communications, remote sensing, image processing, discrimination, and enhanced tracking algorithms for EO/IR systems and including technologies relating to various national technical systems. Clint’s Ph.D. research included first-principles modeling and validation of the pointing and jitter performance of two-axis (tip-tilt) MEMS mirrors and a generalized model for electrostatic two-axis (tip-tilt) structures. This included building custom hardware and extensive experimental testing to validate the MEMS model. He has authored papers in the Journal of Applied Optics, the SPIE Journal of Micro/Nanolithography, MEMS and MOEMS and the IEEE Journal of Microwave Theory and Techniques as well as other conference proceedings. Clint is a Senior Member of IEEE and a member of Eta Kappa Nu and Tau Beta Pi.
Clint has a passion for teaching and developing technical staff. He has developed and taught graduate courses with the JHU Whiting School of Engineering (WSE) including "Principles of Optics" (EN.615.471), "Digital Signal Processing" (EN.525.427), "ECE Fundamentals: Circuits, Devices and Fields" (EN.525.201) and "ECE Fundamentals: Signals and Systems" (EN.525.202). From 2010 – 2017, Clint served as the Chair of Space Systems Engineering and the Vice Chair of the Electrical and Computer Engineering Programs where he supervised over 80 adjunct faculty members, led the development of new online courses and managed capital budgets for JHU’s graduate laboratories.
This course is intended to prepare students lacking an appropriate background for graduate study in electrical and computer engineering. Signal and system representations and analysis tools in both continuous time and discrete time are covered. Linear time-invariant systems are defined and analyzed. The Fourier transform, the Laplace transform, and the z-transform are treated along with the sampling theorem. Finally, fundamental concepts in probability, statistics, and random processes are considered. Prerequisite(s): Two or more semesters of calculus and differential equations. Course Note(s): Not for graduate credit.
To prepare students for graduate course work in the JHU-EP Electrical and Computer Engineering Program.
- To prepare students for graduate course work in the JHU-EP Electrical and Computer Engineering Program.
When This Course is Typically Offered
Spring and Fall Semesters (Offered Online)
- Linear Time-Invariant (LTI) Systems
- Fourier Series
- Fourier Transforms
- Laplace Transforms
- Fourier Analysis (Continous)
- Fourier Analysis (Discrete)
- Linear Feedback Systems
- Concepts of Probability
- Random Variables
Student Assessment Criteria
Course is graded based on instructors evaluation of student's understanding of fundamental concepts and his or her preparation to perform graduate-level course work in the JHU-EP Electrical and Computer Engineering Program. This course is not for graduate credit.
Students are expected to attend lectures and complete assignments. We will be as flexible as we can with travel requirements imposed by employers.
Textbook information for this course is available online through the MBS Direct Virtual Bookstore.
There are notes for this course.
Final Words from the Instructor
See MBS For Textbook List
Term Specific Course Website
(Last Modified: 12/07/2015 02:44:45 PM)