The teaching company scheme (TCS) aims to strengthen competitiveness and wealth creation in the UK through business-university partnerships. It also aims to facilitate technology transfer and spread technical and mana...
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The teaching company scheme (TCS) aims to strengthen competitiveness and wealth creation in the UK through business-university partnerships. It also aims to facilitate technology transfer and spread technical and management skills, provide industry-based training for young graduates, and make academic research and teaching more relevant to business. The benefits TCS offers include: new and improved products, enhanced processes, and a more effective management framework for the business sector;relevant research projects, real-life teaching materials, and opportunities for further collaborations for the universities;and real projects with deadlines and bottomline impact, broad management education, and long-term opportunities for the graduates.
The proceedings contains 13 papers from the ieeE colloquium on the teaching of digital signal processing in universities, held on February 16, 1995 at the Savoy Place, and organized by Professional Group 5E (Signal pr...
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The proceedings contains 13 papers from the ieeE colloquium on the teaching of digital signal processing in universities, held on February 16, 1995 at the Savoy Place, and organized by Professional Group 5E (Signal processing). Topics discussed include computer based teaching;importance of student hands on experience;digital signal processing (DSP) facilities;adaptive signal processing;real time DSP;and algorithms and other teaching aids.
A comparison of the various computer-based techniques for the teaching of digital signal processing (DSP) is presented. Currently, there is a move towards using MATLAB for future training. This, however, should not ex...
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A comparison of the various computer-based techniques for the teaching of digital signal processing (DSP) is presented. Currently, there is a move towards using MATLAB for future training. This, however, should not exclude the learning of programming a DSP microprocessor, and the two approaches should be viewed as complimentary. Hardware realization of DSP and elaborate data processing is perhaps the more suitable approach for projects where students spend more time researching the concept and designing their circuit/programme. A number of third year and MSc projects are described here.
Courseware design for teachingdigital signal processing (DSP) is discussed. The importance of modern DSP facilities, hands on experience, laboratory exposure and research on DSP education is emphasized. The essential...
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Courseware design for teachingdigital signal processing (DSP) is discussed. The importance of modern DSP facilities, hands on experience, laboratory exposure and research on DSP education is emphasized. The essential elements in teaching DSP are enumerated, namely: teaching modules, course content, practicalities, equipment, methodology, and assessment.
The use of `Personal DSP' is proposed to enhance digital signal processing (DSP) learning productivity of students having mixed experience and ability levels via hands-on homework and self-study. DSPWorld, an educ...
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The use of `Personal DSP' is proposed to enhance digital signal processing (DSP) learning productivity of students having mixed experience and ability levels via hands-on homework and self-study. DSPWorld, an educational PC-based software package is discussed. The program emphasizes the importance of simulation as a prelude to realizing scaled, stable fixed-point DSP algorithms.
The School of Electronic Engineering of the Department of Applied Computing and Electronics at Bournemouth University offers a variety of undergraduate and postgraduate courses. Some of the practical digital Signal Pr...
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The School of Electronic Engineering of the Department of Applied Computing and Electronics at Bournemouth University offers a variety of undergraduate and postgraduate courses. Some of the practical digital Signal processing work covered in the BEng.(hons) in Electronics Systems Design (ESD) course are presented. An introduction to DSP techniques begins in the second year of this course, the work being covered in more depth in the third year in conjunction with control theory and VLSI design.
The system for teaching signal processing to undergraduates used by the Royal Naval Engineering College at Manadon, Plymouth, is described. Three software packages are outlined which have been in operation for the pas...
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The system for teaching signal processing to undergraduates used by the Royal Naval Engineering College at Manadon, Plymouth, is described. Three software packages are outlined which have been in operation for the past five years in the College and have adequately met the requirements of the undergraduate laboratory work in support of the course.
A digital signal processing (DSP) teaching method employed by the Engineering Department of the University of Leicester is presented. The method features the combination of the normal course lectures (on digital signa...
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A digital signal processing (DSP) teaching method employed by the Engineering Department of the University of Leicester is presented. The method features the combination of the normal course lectures (on digital signal processing, microprocessors and Assembly language programming), with a special lecture on the architecture and Assembly language of a particular DSP chip, and a laboratory session. The laboratory session consists of a succession of supervised tasks building on a given example to help students understand and implement techniques for developing real-time DSP algorithms. In the fourth and final exercise a digital FIR filter is implemented and run in real-time.
The potential use of algorithmic engineering as a design and teaching aid is illustrated using two relevant examples. The first relates to the fast Fourier transform (FFT) and the second concerns the least squares lat...
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The potential use of algorithmic engineering as a design and teaching aid is illustrated using two relevant examples. The first relates to the fast Fourier transform (FFT) and the second concerns the least squares lattice algorithm for linear prediction and adaptive filtering. It is shown how each can be derived, and hence taught, by starting with the signal flow graph for a more basic algorithm (the discrete Fourier transform or DFT and recursive least algorithms) and then applying a sequence of simple diagrammatic transformations.
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