525.627.8VL - Digital Signal Processing

Course Structure

This course uses the Virtual Live (VL) format. All students participate online through live web-conferencing at the scheduled day and time. This is a live-online course in which students participate in live weekly lectures and discussions, and are able to interact with the instructor. All classes are recorded for download and review. Note that VL courses are not designed for asynchronous learning in the same way that online courses are. Rather, VL is essentially a face-to-face course but delivered via web-conferencing software. While the course lectures will be recorded, it is my expectation that students participate in the course synchronously if possible. I recognize that most of you are working professionals and conflicts will arise on occasion. So, please engage with me to seek accommodations that work for both of us.

For more information regarding Zoom, please see our Zoom Quick Start Guide.

Course Topics

• Discrete-Time Signals & Systems. (P&M, 4th ed: 1-19, 41-93, 224-259, 268-291, 300-321)
  • Frequency concepts in continuous- and discrete-time.
  • Linear time-invariant systems, convolution, and frequency response
  • Fourier Series and Fourier Transforms.
• Sampling. (P&M, 4th ed: 19-37, 384-410)
  • The Sampling Theorem, Aliasing, and Sample Reconstruction.
  • Amplitude Quantization and Companding.
• The Discrete Fourier Transform (DFT) and Spectral Analysis. (P&M, 4th ed: 449-495, 511-526)
  • Definition and properties of the DFT, illustrated in MATLAB.
  • Zero-padding, windowing, and efficient computational algorithms – the Fast Fourier Transforms (FFTs).
  • Frequency estimation of non-stationary signals – the short-time Fourier transform
  • Circular Convolution and Linear Filtering with the FFT.
  • Overlap-save techniques.
• Design of Digital Finite-Impulse Response (FIR) Filters. (P&M, 4th ed: 654-670, 678-691)
  • Filter Specifications in Magnitude and Phase.
  • Requirements for linear phase.
  • FIR filter design in MATLAB with Windows and the Optimum Equiripple (Parks-McClellan) technique.
  • The Matched Filter and applications
• Design of Digital Infinite-Impulse Response (IIR) Filters. (P&M, 4th ed: 147-180, 184-193, 701-729)
  • The z-transform, transfer functions, and system stability.
  • Butterworth, Chebyshev, and Elliptic filter prototypes.
  • IIR filter design in MATLAB using impulse invariance and the Bilinear Transformation.
  • Digital filter structures and implementations (Direct Form and Cascade) (P&M, 4th ed: 109-116, 563-568, 582-589)
• Introduction to Multirate Signal Processing. (P&M, 4th ed: 750-766, 775-779, 786-787)
  • Signal decimation and interpolation.
  • Sample rate conversion by a rational factor.
  • Efficient implementation of narrowband filters.

Course Goals

To acquire and demonstrate the skills needed to analyze discrete-time signals and systems, and then design discrete-time filters to modify the frequency characteristics of a signal

Course Learning Outcomes (CLOs)

• Compute and interpret the frequency-domain content of a discrete-time signal.
• Design and implement finite-impulse response (FIR) and infinite-impulse response (IIR) digital filters, to satisfy a given set of specifications
• Apply digital signal processing techniques to applications such as multirate signal processing
• Utilize MATLAB to analyze digital signals, design digital filters, and apply these filters for a practical DSP system

Textbooks

Optional Textbook: J. G. Proakis and D. G. Manolakis, Digital Signal Processing, Fourth Edition (Upper Saddle River, NJ: Pearson Prentice Hall, 2007).

Other Materials & Online Resources

References

Signals & Systems

1. S. K. Mitra, Signals and Systems (Oxford, 2015).
2. J. H. McClellan, R. W. Schafer, M. A. Yoder, DSP First (Prentice-Hall, 2015).
3. S. Haykin and B. Van Veen, Signals and Systems, 2nd Edition (Wiley, 2002).

Digital Signal Processing

1. J. G. Proakis and D. G. Manolakis, Digital Signal Processing, 4th Edition (Pearson Prentice Hall, 2007).
2. A. V. Oppenheim and R. W. Schafer, Discrete-Time Signal Processing, 3rd Edition (Pearson Prentice Hall, 2009).
3. B. Porat, A Course in Digital Signal Processing (Wiley, 1996)
4. S. Orfanidis, Introduction to Signal Processing (Prentice Hall, 1995).
5. S. Mitra, Digital Signal Processing (McGraw-Hill, 2010).
6. S. W. Smith, Scientist and Engineer’s Guide to DSP (CA Tech Pub, 1997).
7. R. G. Lyons, Understanding Digital Signal Processing (Prentice Hall, 2011).

Multirate Signal Processing

1. F. J. Harris, Multirate Signal Processing (Prentice Hall, 2004).
2. P. P. Vaidyanathan, Multirate Systems and Filter Banks (Prentice Hall, 1992
3. R. E. Crochiere and L. R. Rabiner, Multirate Digital Signal Processing (Prentice Hall, 1983).

Required Software

The software application MATLAB will be used throughout this course. A license is provided at no cost to you, through JHU.

Visit the JHU EP web site for information on accessing MATLAB.

Student Coursework Requirements

This course will consist of the following basic student requirements:

Preparation and Participation (5% of Final Grade Calculation)

Weekly Assignments (45% of Final Grade Calculation): You will be given weekly homework assignments. The application MATLAB will be used extensively. Your homework will be submitted before the beginning of class on the due date.  No late homeworks will be accepted without prior arrangement with me. Your assignment will be graded and returned to you. 

Midterm Exam (25% of Final Grade Calculation): There will be a synchronous midterm examination, tentatively scheduled for October 26. In working the exam, students may use the lecture notes, reference textbooks, supplementary references and handouts, and a handheld calculator. The use of MATLAB or similar applications is not permitted.

Final Project, Presentation, & Report (25% of Final Grade Calculation): Each student will complete a project that explores a digital signal processing concept. Students may select a project from a list of topics provided by the instructor, or conceive of a project topic in consultation with the instructor. Each student will present a summary of their project topic, approach taken, and results to the instructor and other students on the final class meeting (December 7). A written report will also be prepared and submitted to the instructor no later than the beginning of class on the final class meeting. More details on the project topics and project execution will be provided as the semester progresses.

Final grades will be determined by the following weighting:

Grading Policy

Academic Policies

Deadlines for Adding, Dropping and Withdrawing from Courses

Students may add a course up to one week after the start of the term for that particular course. Students may drop courses according to the drop deadlines outlined in the EP academic calendar (https://ep.jhu.edu/student-services/academic-calendar/). Between the 6th week of the class and prior to the final withdrawal deadline, a student may withdraw from a course with a W on their academic record. A record of the course will remain on the academic record with a W appearing in the grade column to indicate that the student registered and withdrew from the course.

Academic Misconduct Policy

All students are required to read, know, and comply with the Johns Hopkins University Krieger School of Arts and Sciences (KSAS) / Whiting School of Engineering (WSE) Procedures for Handling Allegations of Misconduct by Full-Time and Part-Time Graduate Students.

This policy prohibits academic misconduct, including but not limited to the following: cheating or facilitating cheating; plagiarism; reuse of assignments; unauthorized collaboration; alteration of graded assignments; and unfair competition. Course materials (old assignments, texts, or examinations, etc.) should not be shared unless authorized by the course instructor. Any questions related to this policy should be directed to EP’s academic integrity officer at ep-academic-integrity@jhu.edu.

Students with Disabilities - Accommodations and Accessibility

Johns Hopkins University values diversity and inclusion. We are committed to providing welcoming, equitable, and accessible educational experiences for all students. Students with disabilities (including those with psychological conditions, medical conditions and temporary disabilities) can request accommodations for this course by providing an Accommodation Letter issued by Student Disability Services (SDS). Please request accommodations for this course as early as possible to provide time for effective communication and arrangements.

For further information or to start the process of requesting accommodations, please contact Student Disability Services at Engineering for Professionals, ep-disability-svcs@jhu.edu.

Student Conduct Code

The fundamental purpose of the JHU regulation of student conduct is to promote and to protect the health, safety, welfare, property, and rights of all members of the University community as well as to promote the orderly operation of the University and to safeguard its property and facilities. As members of the University community, students accept certain responsibilities which support the educational mission and create an environment in which all students are afforded the same opportunity to succeed academically. 

For a full description of the code please visit the following website: https://studentaffairs.jhu.edu/policies-guidelines/student-code/

Classroom Climate

JHU is committed to creating a classroom environment that values the diversity of experiences and perspectives that all students bring. Everyone has the right to be treated with dignity and respect. Fostering an inclusive climate is important. Research and experience show that students who interact with peers who are different from themselves learn new things and experience tangible educational outcomes. At no time in this learning process should someone be singled out or treated unequally on the basis of any seen or unseen part of their identity. 
 
If you have concerns in this course about harassment, discrimination, or any unequal treatment, or if you seek accommodations or resources, please reach out to the course instructor directly. Reporting will never impact your course grade. You may also share concerns with your program chair, the Assistant Dean for Diversity and Inclusion, or the Office of Institutional Equity. In handling reports, people will protect your privacy as much as possible, but faculty and staff are required to officially report information for some cases (e.g. sexual harassment).

Course Auditing

When a student enrolls in an EP course with “audit” status, the student must reach an understanding with the instructor as to what is required to earn the “audit.” If the student does not meet those expectations, the instructor must notify the EP Registration Team [EP-Registration@exchange.johnshopkins.edu] in order for the student to be retroactively dropped or withdrawn from the course (depending on when the "audit" was requested and in accordance with EP registration deadlines). All lecture content will remain accessible to auditing students, but access to all other course material is left to the discretion of the instructor.