Digital Signal Processing
2007–08

Principal lecturer: Dr Markus Kuhn
Taken by: Part II
Syllabus
Past exam questions

This 12-h lecture course is an introduction into Digital Signal Processing, with a particular focus on audio-visual coding techniques, specifically aimed at third-year Computer Science students. Lectures are 2007 November 2 to 28 (M/W/Fr), 10:00–11:00 in Lecture Theatre 2.

Study materials

• DSP slides (2up, 4up)
• MATLAB introduction slides (2up, 4up)
• Example solutions for the MATLAB exercises

Demonstration and exercise materials

• Forever rising tones illusion (MATLAB introduction)
• Zoneplate sampler, zoneplate bitmap (lecture 4)
• stars-blurred.png, stars-psf.png (exercise 11)
• touchtone.wav (exercise 13 (b))
• Touchtone specification: ITU-T Recommendations Q.23 and Q.24 (exercise 13)
• Image files bear.png and boat.png used in the demonstration (lecture 10, source)
• Audio files loudness.wav and masking.wav used in the demonstration (lecture 11)

The material on audio-visual coding (last 4 lectures) was presented in previous years as part of the Part II Information Theory and Coding course. Therefore, exam questions 2003 Paper 7 Question 8 (a), 2004 Paper 7 Question 8 (c,d), 2004 Paper 8 Question 10 (c), and 2005 Paper 8 Question 10 (d) of that course are also related to material now covered in Part II DSP.

Deconvolution contest

This year’s winner of the image deconvolution contest (Exercise 11) is Max Bolingbroke with

Supervision information

• Example solutions for past exam questions and some of the exercises
  [access limited to supervisors and (after end of supervisions) students]
• Information for supervisors
  [ask lecturer (mgk25) to put your Raven identifier (CRSID) onto the access control list]

Related links

• DSP textbook with full text online: Steven W. Smith: The Scientist and Engineer's Guide to Digital Signal Processing
• This course is only a brief introduction into the basics of Digital Signal Processing. For in-depth coverage, have a look at the entire series of courses taught on the same subject in the Engineering Tripos:
  • Fourier Transforms, Signal & Data Analysis (Part IB, Paper 7, Section C, lecture notes: Joan Lasenby)
  • Module 3F1 – Signals and Systems (Part IIA)
  • Module 3F3 – Signal and Pattern Processing (Part IIA, lecture notes: Dr Godsill)
  • Module 4F7 – Digital Filters and Spectrum Estimation (Part IIB, lecture notes: Dr Godsill)
• comp.dsp FAQ