Computer Laboratory – Course material 2008–09: Digital Signal Processing Skip over navigation | Access key help ||| Computer Laboratory Course material 2008–09 Computer Laboratory > Teaching > Course material 2008–09 > All courses > Digital Signal Processing Additional Topics Advanced Graphics Advanced Systems Topics Algorithms I Algorithms II Artificial Intelligence I Artificial Intelligence II Bioinformatics Business Studies Comparative Architectures Compiler Construction Complexity Theory Computation Theory Computer Design Computer Graphics and Image Processing Computer Systems Modelling Computer Vision Concepts in Programming Languages Concurrent Systems and Applications Databases Denotational Semantics Digital Communication I Digital Communication II Digital Electronics Digital Signal Processing Information for supervisors Solution notes Discrete Mathematics I Discrete Mathematics II Distributed Systems E-Commerce ECAD ECAD Labs » Economics and Law Floating-Point Computation Foundations of Computer Science Foundations of Functional Programming Group Project Group Project Briefing Hardware Practical Classes How to Study Computer Science Human-Computer Interaction Information Retrieval Information Theory and Coding Introduction to Security Logic and Proof Long Vacation Java course Mathematical Methods for Computer Science Natural Language Processing Operating Systems I Optimising Compilers Part IB Assessed Exercise Briefing Probability Professional Practice and Ethics Programming Methods Programming in C and C++ Programming in Java Prolog Quantum Computing Registration [no title found] Security Semantics of Programming Languages Software Design Software Engineering Specification and Verification I Specification and Verification II System-on-Chip: Design and Modelling Topics in Concurrency [no title found] Unix Tools Digital Signal Processing 2008–09 Principal lecturer: Dr Markus Kuhn Taken by: Part II Syllabus Past exam questions Study materials DSP slides (2up, 4up) MATLAB introduction slides (2up, 4up) Example solutions for the MATLAB exercises Errata Problems in the printed handouts that are fixed in the above PDFs: slide 29: “(2k+1)π” should read “(2k+1)π/2” slide 33: “ejωt+φ” should read “ej(ωt+φ)” 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. 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 © 2009 Computer Laboratory, University of Cambridge Please send any comments on this page to Dr Markus Kuhn
