Course material 2010–11

Digital Signal Processing

Principal lecturer: Dr Markus Kuhn
Taken by: Part II
Syllabus
Past exam questions
Information for supervisors (contact lecturer for access permission)

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 2011 February 18 to March 16 (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)
• IQ sampled recordings of FM radio broadcasts:
  • iq-fm-96.0m-200k.iq.tar
    center frequency 96.0 MHz (= BBC Radio Cambridgeshire), bandwidth 200 kHz, sample rate 250 kHz, 30 s, 60 MB
  • iq-fm-97.0m-4m.iq.tar
    center frequency 97.0 MHz, bandwidth 4 MHz, sample rate 5 MHz, 5 s, 200 MB, covers three FM radio stations

  Unpackage tar file, then load IQ samples from float32 file in MATLAB using:

    f = fopen('iq-fm-96.0m-200k.complex.1ch.float32', 'r', 'ieee-le');
    c = fread(f, [2,inf], '*float32');
    iq = c(1,:) + j*c(2,:);
  

• 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.

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