+ Wireless World

Total Page:16

File Type:pdf, Size:1020Kb

+ Wireless World ELECTRONICS Denmark DKr. 70.00 Germany DM 15.00 Greece Dra.760 Holland DFI. 14 Italy L. 7300 IR £3.30 Spain Pts. 780 WORLD Singapore SS 12.60 USA $6.70 + WIRELESS WORLD SOR DISTRIBUTION A REED BUSINESS PUBLICATION MARCH 1993 £1.95 APPLICATIONS Intelligent charging for f 4A 4 r NiCds B 7-1/8 RF DESIGN ATV receiver for 23cm SYSTEMS Radio circuitry for GPS systems SIGNAL PROCESSING Experimenting with DSP REVIEW Dadisp-the clumsy alternative ? IMF an Hickman's new hook READE na oguee for just £22.40* *Overseas f27.40..This month Normal price L 34.90 19.91.1) OFFER I 833004 THE WORLDS No.1 BEST SELLING UNIVERSAL PROGRAMMING AND TESTING SYSTEM. The PC82 Universal Programmer and Tester is a *More sold worldwide than any other of *Software supplied to write own test PC -based development tool designed to its type. vectors for custom ICs and ASICs etc. program and test more than 1500 ICs. The latest *UK users include BT, IBM, MOD, THORN *Protection circuitry to protect against version of the PC82 is based on the experience EMI, MOTOROLA, SANYO, RACAL wrong insertion of devices. gained after a 7 year production run of over *High quality Textool or Yamaichi zero 100,000 units. insertion force sockets. *Ground control circuitry using relay switching. *Rugged screened cabling. The PC82 is the US version of the Sunshine *High speed PC interface card designed *One model covers the widest range of Expro 60, and therefore can be offered at a very devices, at the lowest cost. competitive price for a product of such high for use with all PC models from XT to quality. The PC82 has undergone extensive 486. *No need to tie up a slow parallel port. testing and inspection by various major IC *Over 1500 different devices (including *Two year free software update. manufacturers and has won their professional more than 100 MPU's) supported. approval and support. Many do in fact use the *Tests and or identifies a wide range of Speedoptimisedrangeof PC82 for their own use! logic devices. programming algorithms. The PC82 can program E/EPROM, Serial PROM, BPROM, MPU, DSP, PLD, EPLD, PEEL, GAL, FPL, MACH, MAX, and many more. It comes with a 40 pin DIP socket capable of programming devices with 8 to 40 pins. Adding special adaptors, the PC82 can program devices up to 84 pins in DIP, PLCC, LCC, QFP, SOP and PGA packages. The unit can also test digital ICs such as the TTL 74/54 series, CMOS 40/45 series, DRAM (even SIMM/SIP modules) and SRAM. The PC82 can even check and identify unmarked devices. Customers can write their own test vectors to program non standard devices. Furthermore it can perform functional vector testing of PLDs using the JEDEC standard test vectors created by PLD compilers such as PALASM, OPALjr, ABLE, CUPL etc. or by the user. The PC82's hardware circuits are composed of 40 set pin -driver circuits each with TTL I/O control, NOW SUPPLIED WITH SPECIAL VALUE *NATIONAL SEMICONDUCTOR OPALjr D/A voltage output control, ground control, ADDED SOFTWARE (worth over £300 if PAL/PLD development software. noisefiltercircuitcontrol, and OSC crystal bought seperately): frequency control. The PC82 shares all the PC's *BATCH SOFTWARE for production resources such as CPU, memory, I/O hard disk, *MICROTEC disassemblers for Z8, 8085, programming. keyboard, display and power supply. 8048. 8051, 6809 & 68HC11 A dedicated plug in card with rugged connecting cable ensures fast transfer of data to the Our stocked range of own manufactured and programmer without tying up a standard parallel imported Sunshine products include: or serial port. Will work in all PC compatibles from PC XT to 486. *Super fast EPROM Erasers. * 1,4 & 8 gang EPROM 8Mbit production programmers. The pull -down menus of the software makes the * Battery operated portable EPROM PC82 one of the easiest and most user-friendly programmers. programmers available. A fulllibraryof file "In circuit" Emulators. conversion utilities is supplied as standard. *Handy pocket IC testers. The frequent software updates provided by Sunshine enables the customer to immediately ORDERING INFORMATION program newly released ICs.It even supports EPROMs to 16Mbit. PC82 complete with interface card, CP cable, software and manual only£395 Over 20 engineers are employed by Sunshine to CITADEL PRODUCTS LTD develop new software and hardware for the Please add £7 carriage (by overnight courier) for PC82. Not many competitors can boast of similar DEPT. WW, 50 HIGH ST., UK orders, £20 for export orders, and VAT where support! EDGWARE, MIDDX. HA8 7EP. applicable. Citadel, a 32 year old company are the UK agents ACCESS, MASTERCARD, VISA or CWO. Phone now on: 081 951 1848/9 and service centre for the Sunshine range of Official orders are welcome from Government programmers, testers and in circuit emulators bodies & local authorities. 1 and have a team of engineers trained to give VISA local support in Europe. Free demo disk with device list available. CONTENTS FEATURES MULTI -MEDIA - THE PERFECT MARRIAGE 224 COVER: STARTING OUT Is it a television? Is it a computer? Multimedia is blurring WITH DSP 188 the distinction. Julia King reports on progress to the all -in- To be considered competent, an one entertainment/information system.. electronic designer must be able to apply the basics of DSP. Jean - PICKING UP A CLEARER PICTURE Jacques Dauchot's experimenter's OF AMATEUR TV 227 kit allows anyone to try- and see. Amateur television is no longer just for the dedicated Cover: Kevin Clarkson enthusiast. John Cronk explains how widespread repeaters combined with off -air beacon signals and receiver designs DADISP REVISION WITH - such as his own - make amateur TV accessible to a much RESERVATIONS 198 wider audience. DADISP is one of the most flexible signal data processing packages on the market. But Allen Brown wonders if ! Version 3.0 had been better left in the box. ! S OFFER Analo ue Electronics by Ian Hickman GRAPHICAL DEMONSTRATION Save £1 2.50 OF SCIENTIFIC POWER 200 on the 300 page hardback edilon wit is issue of EW + WW If you want to convert your PC into a scientific calculator (see reader reply card betweer pp. 232-233) with powerful graphing at minimum cost, Don Bradbury shows why CC4 is the program to consider. ELECTRONICS AFLOAT 240 Greater GPS accuracy and a compact satellite voice GPS: RADIO ARCHITECTURE 210 telephone were among the electronic innovations unveiled Traditional GPS radio architectures require access to asic at this year's London boat show. technology for the hardware processing channels and suffer from long acquisition times. Philip Mattos describes OP AMPS IN PICTURES 244 a high performance radio system, based on direct Bryan Hart describes a graphical technique for describing conversion, and outlines Plessey's single chip GPS feedback amplifiers that reveals fundamental operating implementation. characteristics. REGULARS COMMENT 179 LETTERS 235 The nature of power Filter tips, Speed kills theory, Where is the low region?, Under the brolly, Some mac comeback, Happiness is an UPDATE 180 engineer, Particle poppycock, Rationalising peace, Beatles Government bans unbuggable phones, Virtual reality set to in the ground, Crash response. boldly go, DTI launches campaign to kill waves that kill, Trio plans to halve mmic costs, 40GHz GaAs line gives NEW PRODUCTS 247 UK lead in Europe. EW +WW's round up of all that's new in electronics and engineering software. RESEARCH NOTES 184 Sound reasons for short term memory, Every which way- APPLICATIONS 252 but not loose, Wired up head gasket reveals combustion Fast - and safe - charging of NiCds with DSP, Filtering picture, Making chips at home (all you need is an SEM), reference voltages, Programmed delays. Pushing back the limits on optic fibre comms. DESIGN BRIEF 258 CIRCUIT IDEAS 204 Negative characteristic components may not be called for Automatic monitor sync polarity, Programmable timer, LC every day, but Ian Hickman shows why they should be square -wave generator, Fast small -signal rectifier, regarded as a standard tool for the professional circuit Adjustable accurate stepper controller designer. IDENTIFYING AND AVOIDING TRANSISTOR PROBLEMS 218 In next month's issue: There is currently much Transistors - both bipolars and mosfets- are immune to interest n direct conversicn SSB radio systems many problems, but they can still give trouble. Robert because of their ease of in=egration onto silicon. Pease shows how robust design methods and proper N C Hamilton describes an SSB HF receiver assumptions about performance characteristics are the keys using quadrature direct conversion for use with to avoiding pit -falls. either analogue or DSP design techniques. APRIL ISSUE IS ON SALE MARCH 25 March1993 ELECTRONICS WORLD + WIRELESS WORLD 177 FROM CONCEP 0 ARTWORK IN 1 DAY Your d ideas are quickly captured using The ULTIcap schematic design Tool. ULTIcap uses REAL-ME checks to prevent logic errors. Schematic editing is painless: simply click your start and end oints d ULTIcap automatically wires them for you. ULTlcap's auto snap to pin and auto junction ensure your netlist is complete, thereby relieving you of tedious netlist checking. ULT:ctell. the integrated user interface, makes sure all design information is transferred correctly from ULTIcap to ULTlboard. Good manual placement tools are vital to the progress of your design. therefore ULTlboard gives you a powerful suite of REAL-TIME functions such as, FORCE VECTORS. RATS NEST RECONNECT and DENSITY HISTOGRAMS. Pin and gate swapping allows you to further optimise your layout. Now you can quickly route your critical tracks. ULTiboard's REAL-TIME DESIGN RULE CHECK MI nct allow you to make illegal connections or violate your design rules. ULTlboard's powerful TRACE SHOVE. and REROUTE -WHILE -MOVE algorithms guarantee that any manual track editing is flawless.
Recommended publications
  • Session Siptool: the 'Signal and Image Processing Tool'
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by DigitalCommons@CalPoly Session SIPTool: The ‘Signal and Image Processing Tool’ An Engaging Learning Environment Fred DePiero1 Abstract The ‘Signal and Image Processing Tool’ is a With the SIPTool, students create an integrated system multimedia software environment for demonstrating and that includes their processing routine along with developing Signal & Image Processing techniques. It has image/signal acquisition and display. This integrated system been used at CalPoly for three years. A key feature is is a very different result than the ‘haphazard’ line-by-line extensibility via C/C++ programming. The tool has a processing steps that students may or may not successfully minimal learning curve, making it amenable for weekly stumble through in a MatLab environment, as they follow a student projects. The software distribution includes given example. The SIPTool-based implementation is much multimedia demonstrations ready for classroom or more like a complete, commercial product. laboratory use. SIPTool programming assignments strengthen the skills needed for life-long learning by A variety of learning objectives can be readily requiring students to translate mathematical expressions addressed with the SIPTool including: time/frequency into a standard programming language, to create an relationships, 1-D and 2-D Fourier transforms, convolution, integrated processing system (as opposed to simply using correlation, filtering, difference equations, and pole/zero canned processing routines). relationships [1]. Learning objectives associated with image processing can also be presented, such as: gray scale Index Terms Image Processing, Signal Processing, resolution, pixel resolution, histogram equalization, median Software Development Environment, Multimedia Teaching filtering and frequency-domain filtering [2].
    [Show full text]
  • Towards a Fully Automated Extraction and Interpretation of Tabular Data Using Machine Learning
    UPTEC F 19050 Examensarbete 30 hp August 2019 Towards a fully automated extraction and interpretation of tabular data using machine learning Per Hedbrant Per Hedbrant Master Thesis in Engineering Physics Department of Engineering Sciences Uppsala University Sweden Abstract Towards a fully automated extraction and interpretation of tabular data using machine learning Per Hedbrant Teknisk- naturvetenskaplig fakultet UTH-enheten Motivation A challenge for researchers at CBCS is the ability to efficiently manage the Besöksadress: different data formats that frequently are changed. Significant amount of time is Ångströmlaboratoriet Lägerhyddsvägen 1 spent on manual pre-processing, converting from one format to another. There are Hus 4, Plan 0 currently no solutions that uses pattern recognition to locate and automatically recognise data structures in a spreadsheet. Postadress: Box 536 751 21 Uppsala Problem Definition The desired solution is to build a self-learning Software as-a-Service (SaaS) for Telefon: automated recognition and loading of data stored in arbitrary formats. The aim of 018 – 471 30 03 this study is three-folded: A) Investigate if unsupervised machine learning Telefax: methods can be used to label different types of cells in spreadsheets. B) 018 – 471 30 00 Investigate if a hypothesis-generating algorithm can be used to label different types of cells in spreadsheets. C) Advise on choices of architecture and Hemsida: technologies for the SaaS solution. http://www.teknat.uu.se/student Method A pre-processing framework is built that can read and pre-process any type of spreadsheet into a feature matrix. Different datasets are read and clustered. An investigation on the usefulness of reducing the dimensionality is also done.
    [Show full text]
  • Dadisp / Filters Digital Filter Design Module
    DADiSP / Filters Digital Filter Design Module KEY FEATURES DADiSP/Filters is a menu-driven module for FIR and IIR digital filter design and analysis. From Simple User Interface any DADiSP Worksheet, you can quickly design, view and analyze both FIR (Finite Impulse Lowpass, Highpass, Bandpass, Bandstop and Response) and IIR (Infinite Impulse Response) Multiband Filters filters. Once you have designed a filter, you may filter the raw data, then view and analyze the Finite Impulse Response (FIR) Filter Design filtered signal. Through the easy-to-use dialog FIR Hilbert Transforms and Differentiators boxes or simple one line functions, you can tune the filter iteratively, re-filtering the data until you FIR Remez Exchange and Kaiser Window have separated the signal from the noise cleanly. Design Algorithms Infinte Impulse Response (IIR) Filter Design IIR Bessel, Butterworth, Chebychev I, Chebychev II and Elliptic Filters IIR Bilinear Transform and Matched Z Design Algorithms Magnitude, Phase, Group Delay and Impulse Response Output Coefficent Form Conversion Output Coefficent Quantization Time and Frequency Domain Filtering Functions Pole-Zero Plots www.dadisp.com DSP Development Corporation Toll Free: 1-800-424-3131 New Features DADiSP/Filters Version 5.0 includes a completely redesigned user interface to streamline the process of designing and applying digital filters. Straightforward dialog boxes with automatic option validation simplifies both the design and analysis of filters. Filter coefficients can be easily converted to various filter structures and quantization routines are included to help simulate DSP chipsets. IIR Bessel filters and the Matched Z Transform design method have been added. Linear phase FIR Kaiser filters have been expanded and enhanced.
    [Show full text]
  • 1990 Cern School of Computing
    CEKN 91-05 14 May 1991 ORGANISATION EUROPÉENNE POUR LA RECHERCHE NUCLÉAIRE CERN EUROPEAN ORGANIZATION FOR NUCLEAR RESEARCH 1990 CERN SCHOOL OF COMPUTING Ysermonde, Belgium 2-15 September 1990 PROCEEDINGS GEMEVA 1991 © Copyright CERN, Genève, 1991 Propriété littéraire et scientifique réservée Literary and scientific copyright-i r^-tw^d în pûui tous les pays du mund», Ge document ne nil cnuutrie* at the world. This report, or peut être reproduit ou traduit en tout DU en any part of it, may not be reprinted or trans­ partie sans l'autorisation écrite du Directeur lated wiLliHxit written permission of the copy­ littéral du CERN, titulaire du droit d'auteur. right holder, tile Director-General of CERN, Dans les cas appropriés, et s'il s'a.{pt d'utiliser However, permission will be freely granted for le docu un- il l & îles fins lion commerciales, cet te appropriate non-commercial use autorisation sera volontiers accordée- If any patentable invention or registrable Le OEKN ne revendique pas In propriété des design is described in the report. CERN makes inventions brevelables et dosum ou modèles no claim t« properly rights in it but oirer» ft susceptible* de dépôt qui pour™enl être for the free use of research institutions, man­ décrits dans le présent document; ceux-ci peu­ ufacturers and others. CERN, however, may vent être libn-ini-iil utilisés par les institut» de oppose any attempt by n user to claim any H'du-! du-, las industriel» et autre* intéressés. proprietary Or patent rights in such invention* Cependant, l« CERN se réserve le droïi de or designs as may be deMnrilwd in the present s'opposer & toute revendication qu'un Usager document.
    [Show full text]
  • Integration of DSP Theory, Experiments, and Design: Report of a 7-Year Experience with an Undergraduate Course
    Session 2632 Integration of DSP Theory, Experiments, and Design: Report of a 7-Year Experience with an Undergraduate Course Mahmood Nahvi Electrical Engineering Department California Polytechnic State University, San Luis Obispo Contents 1. Summary 2. Background 3. Pedagogical and Technical Considerations 4. DSP Theory 5. Experiments 6. Design Projects 7. Discussion and Conclusions References 1. Summary The senior technical-elective digital signal processing (DSP) course and lab at Cal Poly State University has become popular among electrical and computer engineering students. The goal of the courses is to teach digital signal processing for applications. Therefore, emphasis is placed on teaching and learning DSP through real-time, real-world examples. The approach is to “learn DSP by doing,” with synthesis and design as the main vehicle. The course integrates classical DSP theory, structured experiments, and design projects. It requires prior knowledge of continuous and discrete-time signals and systems analysis, and familiarity with concepts and techniques such as linear time-invariant systems, convolution, correlation, and Fourier transforms. The course runs for a quarter of the academic year and includes three hours of lecture presentations, eight experiments and a design project. In all of the above activities, students work together in groups of two or three. Each experiment includes pre- lab, design, implementation, testing and evaluation of DSP algorithms and their application. Each design project requires effort equivalent to the completion of three or four regular experiments. The laboratory uses Texas Instruments' DSP boards and software development tools and industry-standard computation engines, simulation, data analysis and display packages such as DADiSP and Matlab.
    [Show full text]
  • Numerical Analysis, Modelling and Simulation
    Numerical Analysis, Modelling and Simulation Griffin Cook Numerical Analysis, Modelling and Simulation Numerical Analysis, Modelling and Simulation Edited by Griffin Cook Numerical Analysis, Modelling and Simulation Edited by Griffin Cook ISBN: 978-1-9789-1530-5 © 2018 Library Press Published by Library Press, 5 Penn Plaza, 19th Floor, New York, NY 10001, USA Cataloging-in-Publication Data Numerical analysis, modelling and simulation / edited by Griffin Cook. p. cm. Includes bibliographical references and index. ISBN 978-1-9789-1530-5 1. Numerical analysis. 2. Mathematical models. 3. Simulation methods. I. Cook, Griffin. QA297 .N86 2018 518--dc23 This book contains information obtained from authentic and highly regarded sources. All chapters are published with permission under the Creative Commons Attribution Share Alike License or equivalent. A wide variety of references are listed. Permissions and sources are indicated; for detailed attributions, please refer to the permissions page. Reasonable efforts have been made to publish reliable data and information, but the authors, editors and publisher cannot assume any responsibility for the validity of all materials or the consequences of their use. Copyright of this ebook is with Library Press, rights acquired from the original print publisher, Larsen and Keller Education. Trademark Notice: All trademarks used herein are the property of their respective owners. The use of any trademark in this text does not vest in the author or publisher any trademark ownership rights in such trademarks, nor does the use of such trademarks imply any affiliation with or endorsement of this book by such owners. The publisher’s policy is to use permanent paper from mills that operate a sustainable forestry policy.
    [Show full text]
  • Outline of Machine Learning
    Outline of machine learning The following outline is provided as an overview of and topical guide to machine learning: Machine learning – subfield of computer science[1] (more particularly soft computing) that evolved from the study of pattern recognition and computational learning theory in artificial intelligence.[1] In 1959, Arthur Samuel defined machine learning as a "Field of study that gives computers the ability to learn without being explicitly programmed".[2] Machine learning explores the study and construction of algorithms that can learn from and make predictions on data.[3] Such algorithms operate by building a model from an example training set of input observations in order to make data-driven predictions or decisions expressed as outputs, rather than following strictly static program instructions. Contents What type of thing is machine learning? Branches of machine learning Subfields of machine learning Cross-disciplinary fields involving machine learning Applications of machine learning Machine learning hardware Machine learning tools Machine learning frameworks Machine learning libraries Machine learning algorithms Machine learning methods Dimensionality reduction Ensemble learning Meta learning Reinforcement learning Supervised learning Unsupervised learning Semi-supervised learning Deep learning Other machine learning methods and problems Machine learning research History of machine learning Machine learning projects Machine learning organizations Machine learning conferences and workshops Machine learning publications
    [Show full text]
  • Dasylab 2020
    DASYLab 2020 DASYLab 2020 Data Acquisition, Controlling, and Monitoring Sept 2019 324212E-01 dasylab.com DASYLab 2020 English-Language Support and Distribution Americas Measurement Computing Corporation 10 Commerce Way Norton, MA 02766 USA Tel.: +1 508-946-5100 Fax: +1 508-946-9500 E-Mail: [email protected] www.mccdaq.com Worldwide - Outside the Americas measX GmbH & Co.KG Trompeterallee 110 41189 Moenchengladbach Germany Tel.: +49 2166 9520-0 Fax: +49 2166 9520-20 E-Mail: [email protected] www.measx.com Worldwide Support and Distribution www.dasylab.com © 2005–2019 National Instruments Ireland Resources Limited. All Rights Reserved. © National Instruments Ireland Resources Limited DASYLab 2020 Important Information Warranty The media on which you receive National Instruments software are warranted not to fail to execute programming instructions, due to defects in materials and workmanship, for a period of 90 days from date of shipment, as evidenced by receipts or other documentation. National Instruments will, at its option, repair or replace software media that do not execute programming instructions if National Instruments receives notice of such defects during the warranty period. National Instruments does not warrant that the operation of the software shall be uninterrupted or error free. A Return Material Authorization (RMA) number must be obtained from the factory and clearly marked on the outside of the package before any equipment will be accepted for warranty work. National Instruments will pay the shipping costs of returning to the owner parts which are covered by warranty. National Instruments believes that the information in this document is accurate. The document has been carefully reviewed for technical accuracy.
    [Show full text]
  • Getting Started with Dadisp: a Guide
    Getting Started with DADiSP Section 1: Welcome to DADiSP This guide is designed to introduce you to the DADiSP environment. It gives you the opportunity to build and manipulate your own sample Worksheets using the data supplied with it. DADiSP (Data Analysis and Display) is a graphical software tool for displaying and analyzing data from virtually any source. The DADiSP Worksheet applies key concepts of spreadsheets to the often-complex task of displaying and analyzing entire data series, matrices, data tables and graphic images. Because it is often easier to interpret data visually rather than as a column or table of numeric values, DADiSP’s default presentation mode is usually a graph within a Worksheet Window. A Worksheet Window in DADiSP serves two purposes at once—it provides a place to store data and serves as a tool for viewing data. DADiSP offers over 1000 analysis and display functions within an easy to use, menu-driven environment. With DADiSP you can: • Acquire and/or import data using DADiSP’s easy-to-follow pop-up menus • Reduce and edit your data and save the intermediate results • Display your data through a range of interpretive 2D, 3D, and 4D graphical views • Transform your data using a variety of matrix and other mathematical operations • Analyze your data with statistical techniques • Analyze digital signals using DADiSP’s extensive signal processing tools • View, store, edit, and analyze digital images • Produce quality output using a variety of annotation features. Furthermore, DADiSP is completely customizable allowing you to create you own menus, macros, functions and command files that meet your data analysis and display needs.
    [Show full text]
  • Dadisp & Simulink Integration
    2009 DADiSP & SIMULINK Integration A Major Qualifying Project submitted to the Faculty of the WORCESTER POLYTECHNIC INSTITUTE in partial fulfillment of the requirements for the Degree of Bachelor of Science by ____________________________________ Bryan Ferguson Date: 5 May, 2009 Advisor: Hossein Hakim ABSTRACT MATLAB with Simulink is a powerful application set for signals processing in real-time or offline however can be slow to learn and is unattractive. DADiSP is menu driven through a colorful, intuitive Graphical User Interface but has limited signals processing capabilities and only processes data offline. This project sets out to conjoin these applications using Microsoft ActiveX technology to utilize the best features from each resulting in an easy to use and powerful real-time signals processing application with eye-catching outputs. ii List of Contents ABSTRACT ...................................................................................................................................................... ii List of Contents ............................................................................................................................................. 1 List of Figures ................................................................................................................................................ 3 1. Introduction .............................................................................................................................................. 4 2. Background ..............................................................................................................................................
    [Show full text]
  • 2.0 Selecting and Defining a Research Problem
    2.0 SELECTING AND DEFINING A RESEARCH PROBLEM Engr. (Prof.) Azikiwe Peter ONWUALU FNSE, FNIM, FAEng, FAS African University of Science and Technology (AUST), Abuja. Former Visiting Professor, National Universities Commission (NUC), Abuja. Former Director General, Raw Materials Research and Development Council (RMRDC), Abuja. Email: [email protected]: [email protected] Prof. A.P. ONWUALU, fas 1 African University of Science and Technology, Abuja LECTURE MODULES • 2. Selecting and defining a research problem • 2.1 Problem formulation • 2.2 Criteria for selecting a problem • 2.3 Identifying variables • 2.4 Evaluating problems • 2.5 Functions of a hypothesis • 2.6 Experimental design & Statistical analyses of data • 2.7 Preparations before conducting your research • 2.8 Disruptive research and innovation • 2.9 Product oriented/market driven research Prof. A.P. ONWUALU, fas African University of Science and Technology, Abuja 2 TRAINING METHODS Lectures Case Study Questions Discussion Assessment Prof. A.P. ONWUALU, fas 3 African University of Science and Technology, Abuja TEXTBOOKS AND RESOURCES (1) • Agbaje, A. 2010. Introductory Lecture Notes on Research Methodology. University of Ibadan, Ibadan. • Asika, N. 2012. Research Methodology in the Behavioural Sciences. Learn Africa Plc. Ikeja. • Eko, E.E. 2015. Effective Writing and Communication. HEBN Publishers Plc, Ibadan. • Gupta, S.C. Fundamentals of Statistics. Himalaya Publishing House, Mumbai. • Kothari, C.R. and Garg, G. 2014. Research Methodology . 3rd Edition. New Age International Publishers., New Delhi. • Northrop, R.P. Introduction to Instrumentation and Measurements. 2nd Edition. Taylor and Francis, Florida. Prof. A.P. ONWUALU, fas 4 African University of Science and Technology, Abuja TEXTBOOKS AND RESOURCES (2) • Onwualu, A.P.
    [Show full text]
  • The Dadisp™ Worksheet Function Reference Manual
    The DADiSP™ Worksheet Data Analysis and Display Software Function Reference Manual July, 2003 Copyright © 2003 DSP Development Corporation ii The DADiSP Licensing Agreement It is important to read and understand the DADiSP Licensee Agreement prior to opening the disk envelope. By opening this envelope, you indicate your acceptance of the following terms and conditions: • The Licensee has non-exclusive rights for use of the supplied software. • The supplied programs may not be copied except as described by the Installation Procedure listed in Chapter 1 of the DADiSP Worksheet Manual. • The Licensee may not disclose or resell any part of the program or documentation to unlicensed parties. Disclaimer of Warranties and Liability The information contained in this document is believed to be reliable and accurate. However, DSP Development Corporation assumes no responsibility whatsoever for errors, omissions, or inaccuracies. DSP DEVELOPMENT CORPORATION DISCLAIMS ANY AND ALL WARRANTIES, EXPRESSED OR IMPLIED, INCLUDING THE WARRANTY OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE, WITH RESPECT TO THE INFORMATION CONTAINED IN THIS MANUAL AND THE SOFTWARE DESCRIBED THEREIN. The buyer or user assumes all risks as to the quality and performance of this product. DSP development shall not be liable for any damages, including special or consequential damages arising out of the use of such information and software even if DSP Development Corporation has been notified in advance of the possibility of such damage. About This Manual This manual contains detailed descriptions of each command and function available at the Worksheet level. Once you have read The DADiSP Worksheet User Manual and are familiar with the DADiSP environment, you should rely on this manual for most of your day-to-day work.
    [Show full text]