Course pages 2012–13
Digital Signal Processing
Lecture notes
- Presentation slides – for 4:3 projector
- Print version – 4 slides per side of A4
- Large print version – 2 slides per side of A4
Errata
Problems in the printed handouts that are fixed in the above PDFs:
Material after slide 176 (psychophysics of perception, quantization, JPEG, MPEG) was not covered in the course this year and will not be examined.
MATLAB
- Installing MATLAB on your own computer (University campus licence)
- MATLAB “Getting Started” tutorial videos and online documentation
- MATLAB introduction slides (print version, large print version) – last lecture of Part IB Unix Tools
- Example solutions for the MATLAB exercises
- GNU Octave
Demonstration and exercise materials
- Forever rising tones illusion (MATLAB introduction)
- Zoneplate sampler, zoneplate bitmap (lecture 4)
- IQ sampled recordings of FM radio broadcasts (exercises 13 and 14):
- iq-fm-96M-240k.dat
center frequency 96.0 MHz (= BBC Radio Cambridgeshire), sample rate 240 kHz, 30 s, 38 MB - iq-fm-97M-3.6M.dat
center frequency 97.0 MHz, sample rate 3.6 MHz, 4 s, 102 MB, covers three FM radio stations
- iq-fm-96M-240k.dat
- stars-blurred.png, stars-psf.png (exercise 15)
- touchtone.wav (exercise 17 (b))
- Touchtone specification: ITU-T Recommendations Q.23 and Q.24 (exercise 17)
- 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)
Supervision information
Supervisors who do not yet have access, please ask me (mgk25) to put your Raven identifier (CRSID) onto the access control list.
Supervisor solution notes are now available to students as most supervisions have finished.
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