# Computer Science ~ Contents - McGraw-Hill Books

Computer Science ~ Contents - McGraw-Hill Books

Computer Science ~ Contents - McGraw-Hill Books

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Professional ReferencesLABVIEW GRAPHICAL PROGRAMMINGFourth Editionby Gary W Johnson, and Richard Jennings2007 (July 2006) / 752 pages / Soft cov erISBN13: 978-0-07-145146-8 / MHID: 0-07-145146-3Professional BookLabVIEW is an award-winning programming language thatallows engineers to create “virtual” instruments on theirdesktop. This new edition details the powerful features of themost recent version of LabVIEW.Written in a highly accessibleand readable style, LabVIEW Graphical Programming illustratesbasic LabVIEW programming techniques, building up toadvanced programming concepts. The CD-ROM contains awealth of virtual instruments and software tools.NEW TO THIS EDITION• Completely updated for LabVIEW 8 (publishing June 2005)• Leading book in the field since 1994• New DAQ Drivers• New NI DAQ Cards--makes, models and speeds• Embedding LabVIEW for LINUX• LabVIEW FPGA• CD-ROM of Virtual Instruments and ToolsCONTENTSRoots. Getting Started. Controlling Program Flow. LabVIEW Data Types.Timing. Synchronization. Files. Gary’s Approach to Building an Application.Documentation. Instrument Driver Basics. Instrument Driver DevelopmentTechniques. Inputs and Outputs. Using the DAQ Library. Analog DAQ. DigitalDAQ. Writing a Data Acquisition Program. ?Process Control Applications. PhysicsApplications. Data Visualization, Imaging and Sound. LabVIEW RT. LabVIEWFPGA.Embedded LabVIEW.SIGNALS & SYSTEMS DEMYSTIFIEDby David McMahon2007 (September 2006) / Softcover / 336 pagesISBN-13: 978-0-07-147578-5 / MHID: 0-07-147578-8Professional BookThe fast and easy way to learn signals and systems. This easy-touseguide will help students taking this difficult subject, as wellas professionals who want to brush up on their knowledge.You will get straightforward information on signal processing,linear systems, and discrete systems. Advanced topics coveredinclude Fourier analysis, filtering, spectral density, AM and FMsystems, and the z-Transform.FEATURES• An easy to understand overview of signal processing in the timedomain, where students see detailed examples that show how tocalculate energy, power and convolution• A time-saving guide to linear time-invariant systems.• An indispensable and eye-opening chapter on Fourier analysisunlocks the secrets of signal analysis in the frequency domain.• Instructive chapters on modulation and the z-transform givestudents the tools they need to master communications.• Other topics covered include filtering, spectral density andcorrelation, and amplitude, frequency and phase modulation.• Provides the fundamental tools necessary to understand radar, AMand FM signal processing, image processing, and signal processingassociated with wireless communications, among other areas.Electrical EngineeringCONTENTSChapter 1: An Introduction to Signals Continuous and Discrete Signals; Energy andPower in Signals; Periodic Signals Computing Energy: Examples Even and Oddfunctions. Chapter 2: Linear Time-Invariant Systems Memoryless systems; Causaland non-causal systems; Linear Systems; Time-Invariance; Stability; Unit Impulseand Unit Step Functions; Impulse Response Function Convolution. Chapter 3:Discrete Time Signals; Energy and power in discrete signals; The Unit Impulseand Unit Step sequences; Properties of Discrete Sequences; Convolution; DiscreteLinear Time-Invariant Systems. Chapter 4: Fourier Analysis; Fourier Series; FourierTransform; Inverse Fourier Transform; Properties of Fourier Transform; SpectrumPlots. Chapter 5: Filtering; What is a filter?; Time and frequency response; Ideallow pass filters; Band pass transmission; Distortion; Phase delay and group delay.Chapter 6: Energy Spectral Density and Correlation; The correlation function;Autocorrelation; Energy spectral density; Power spectral density. Chapter 7:The Discrete Fourier Transform Definition; Examples; The Inverse DiscreteFourier Transform. Chapter 8: Amplitude Modulation; Amplitude Modulation;Double side-band modulation; Suppressed-Carrier Modulation; Single-side bandmodulation; Vestigal sideband modulation. Chapter 9: Phase and FrequencyModulation; Frequency modulation; Phase-Locked loop; FM Waves; Chapter 10:The z-Transform; Common z-transforms; Properties of the z-transform; Inversez-transform; The System Function.DIGITAL SIGNAL PROCESSINGby Andreas Antoniou, University of Victoria, Canada2006 / 965 pages / Hard cov erISBN-13: 978-0-07-145424-7 / MHID: 0-07-145424-1Professional BookBrowse http://www.d-fi lter.ece.uvic.ca/An up-to-the-minute textbook for junior/senior level signalprocessing courses and senior/graduate level digital filterdesign courses, this text is supported by a DSP softwarepackage known as D-Filter which would enable students tointeractively learn the fundamentals of DSP and digital-filterdesign. The book includes a free license to D-Filter which willenable the owner of the book to download and install the mostrecent version of the software as well as future updates.FEATURES• Focus on DSP applications• Includes advanced digital filter design• All examples and problems can be worked in MATLAB or DSPLab• DSP Lab allows students to work problems without purchasingMATLAB or going to the computer centerCONTENTSPreface. Chapter 1: Introduction to Digital Signal Processing. Chapter 2: The FourierSeries and Fourier Transfer. Chapter 3: The z Transform. Chapter 4: Discrete-TimeSystems. Chapter 5: Application of the z Transform. Chapter 6: The SamplingProcess. Chapter 7: The Discrete Fourier Transform. Chapter 8: Realizationof Digital Filters. Chapter 9: Design of Nonrecursive (FIR) Filters. Chapter 10:Approximations for Analog Filters. Chapter 11: Design of Recursive (IIR) Filters.Chapter 12: Recursive (IIR) Filters Satisfying Prescribed Specifications. Chapter13: Random Signals. Chapter 14: Effects of Finite Word Length in Digital Filters.Chapter 15: Design of Nonrecursive Filters Using Optimization Methods. Chapter16: Design of Recursive Filters Using Optimization Methods. Chapter 17: WaveDigital Filters. Chapter 18: Digital Signal Processing Applications. Appendix A:Complex Analysis. Appendix B: Elliptic Functions. Index.157121-160_ELECTRICAL.indd 15711/15/06 5:32:30 PM