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Unit Title: Digital Signal Processing Reference Number ECI3832 Level 3 Credits 1 Study hours 150 hrs, 36 hrs Lecture/Tutorials, 12 hrs Workshop, 102 hrs Student Managed study. Prerequisites Signals and Systems School Engineering Division Telecommunication and Internet Engineering Coordinator Dr Zhanfang ZHAO (Room T409) tel: 020 7815 6340 email: zhaoza@lsbu.ac.uk Aims To introduce the basic principles of digital signal processing (DSP) and provide an understanding of the fundamentals, implementation and applications of DSP techniques. Learning Outcomes Upon successful completion of the unit, students will be able to:
Unit Structure The unit consists following topics:
Unit Calendar Study Area Week No Introduction to DSP 1 Discretetime signals 12 Discretetime systems 34 The ztransform and the Fourier transforms 57 of discretetime signals The discrete Fourier transform (DFT) and 810 its efficient computation (FFT) Digital filters 12 Revision 13 Examination 1415 Expansion of study areas: Introduction to DSP – Overview of the basic definitions, advantages and applications of DSP. Learning outcome You will be expected to know: the nature, the characteristic features, benefits and main application fields of DSP. Tutorial examples Tutorial examples sheet will be handed out at the end of formal teaching of this study area. DiscreteTime Signals – Basic concepts and operations concerning signals from a DSP viewpoint. Learning outcome You will be expected to know: the classification of signals varying from analogue to digital, the classification based on energy and power, sampling of analogue signals, definition of discretetime signal (DTS), convolution and correlation. Tutorial examples Tutorial examples sheet will be handed out at the end of formal teaching of this study area. DiscreteTime Systems – Introduction to discretetime systems. Learning outcome You will be expected: to understand the basics concepts of discretetime systems, system properties like linearity, timeinvariance, causality and stability, and linear timeinvariant (LTI) systems. Tutorial examples Tutorial examples sheet will be handed out at the end of formal teaching of this study area. The ZTransform and The Fourier Transforms of DiscreteTime Signals – Discuss the ztransform and the Fourier transforms (CTFT, DTFT). Learning outcome You will be expected: to understand the principles and properties of the ztransform and the Fourier transforms, inversion of the ztransform, and the relation between different Fourier transforms. Tutorial examples Tutorial examples sheet will be handed out at the end of formal teaching of this study area. The Discrete Fourier Transform (DFT) and Its Efficient Computation (FFT) – The details of DFT and FFT algorithm, power density spectrum and energy density spectrum of signals. Learning outcome You will be expected: to be familiar with DFT and FFT algorithm; to know how get the power density spectrum and energy density spectrum of signals. Tutorial examples Tutorial examples sheet will be handed out at the end of formal teaching of this study area. Digital Filters – Designs of two main types of digital filters: the FIR (nonrecursive) and IIR (recursive); computational process like lowpass filtering, bandpass filtering, interpolation, integration, the generation of derivatives, etc. Learning outcome You will be expected to understand the basic concepts involved in digital filtering and tackle simple design problems. Tutorial examples Tutorial examples sheet will be handed out at the end of formal teaching of this study area. Teaching and Learning Methods Teaching will consist of 2 hour lecture each week, there will be 2 hour tutorial on odd weeks, and 2 hour of laboratory work on even weeks. Lectures will cover all the main aspects of the subject matter in the unit. Printed material, which will include some lecture material and tutorial examples will be provided. In laboratory experiments, Matlab exercises will be set to help the student gain experience with DSP algorithm implementation and applications. Lectures and laboratory experiments are treated as a unified body of work. In addition, you are required to carry out 102 hours of self managed study. Assessment There will be one 3hour written examination (75%), and 1 workshop assignment (25%). Each student is expected to maintain a log book on all the lab works. The log books will be examined periodically during the lab sessions. Each student will be required to produce 1 formal written report on the workshop assignment. You will be required to submit the reports and logbooks (will be specified in the early part of the semester) by the final submission date, which will be notified during the semester allowing you sufficient time to complete your work. You MUST submit your assignment, following the standard school procedure, to J200 between 10:00 and 16:00. Late submission will be penalized in accordance with the University regulation. Core Book List
Background Reading
Study Hours You may notice that this guide states that the unit requires 150 study hours, whereas previous guides have defined each unit as 120 study hours. The University has made this change in line with the way study time is likely to be expressed, in future, in the majority of Universities. There is no change in teaching time, and no change in what you are expected to do or achieve. The change concerns the way study time is measured. Previously, the unit was defined as 120 hours work over 12 teaching weeks. The new measure is still 10 hours per week over 15 weeks, including assessment. The workload for a full time student is still expected to be approximately 40 hours per week. School of Engineering Page of 5 