Syllabus academic year 2011/2012
(Created 2011-09-01.)
Credits: 6. Grading scale: TH. Cycle: A (Second Cycle). Main field: Technology. Language of instruction: The course will be given in English. Optional for: D4, D4dpd, E4, E4dpd, E4ssr, MSOC1. Course coordinator: Professor Viktor Öwall,, Electrical and Information Technology. Recommended prerequisits: ESS040 Systems and Signals or ETI265 Signal Processing in Multimedia or EITF15 Signal Processing - Theory and Applications and ETI130 Digital IC-Design. Assessment: The course has three parts that when completed guarantees the grade 3: Homework assignments that are presented by the students during seminars, a design exercise with several parts which will give a combined view of the different parts of the course and an article study. For a higher grade a written or oral exam is required. Home page:

Digital signal processing is an area becoming increasingly more important in many products and systems of today. When algorithms within this area are to be implemented there is a large number of possible alternatives depending on varying requirements regarding for instance real time properties and power consumption. This course should give the students an understanding regarding how different implementation solutions affects properties like performance and flexibility and not least design time and development cost.

The overall goal of the course is to teach a systematic approach to the design process of digital signal processors. The main part of the course is focused on giving the students an understanding of the design process of application specific architectures given an algorithm specification. This process should be performed with a set of design constraints such as calculation capacity/throughput, power consumption and silicon area.

Knowledge and understanding
For a passing grade the student must

Skills and abilities
For a passing grade the student must

Judgement and approach
For a passing grade the student must

Digital signal processing is a highly expansive field which is a part of most modern electronic systems. Examples of such systems are mobile communication, MP3/CD/DVD-players and medical systems exemplified by pacemakers and hearing aids and examples of algorithms are different types of filtering, coding and image recognition. Often a real time requirement exists, which limits the possibilities to perform the signal processing in a standard computer. Standard processors are one alternative which are developed to cover a wide range of applications and can therefore be used in many systems and gives high flexibility. However, many applications have requirements on for instance throughput and power consumption that demands application specific architectures.

This course will give insight into how an algorithm specification can be implemented from a given set of criteria. The main part of the course will be focused on the design of application specific architectures that can be implemented on either reconfigurable hardware, e.g. FPGAs, or as a custom circuit, i.e. ASIC. Standard signal processors and their relation to other solutions will also be discussed. The content is:

Parhi K K: VLSI Digital Signal Processing Systems: Design and Implementation. John Wiley & Sons 1999. ISBN Number: 0-471-24186-5.