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Digital Signal Processing System-Level Design Using LabVIEW: LabVIEW-Based Hybrid Programming

Kehtarnavaz, Nasser, Kim, Namjin 2005

LabVIEW (Laboratory Virtual Instrumentation Engineering Workbench) developed by National Instruments is a graphical programming environment. Its ease of use allows engineers and students to streamline the creation of code visually, leaving time traditionally spent on debugging for true comprehension of DSP.

This book is perfect for practicing engineers, as well as hardware and software technical managers who are familiar with DSP and are involved in system-level design. With this text, authors Kehtarnavaz and Kim have also provided a valuable resource for students in conventional engineering courses. The integrated lab exercises create an interactive experience which supports development of the hands-on skills essential for learning to navigate the LabVIEW program.

Digital Signal Processing System-Level Design Using LabVIEW is a comprehensive tool that will greatly accelerate the DSP learning process. Its thorough examination of LabVIEW leaves no question unanswered. LabVIEW is the program that will demystify DSP and this is the book that will show you how to master it.

* A graphical programming approach (LabVIEW) to DSP system-level design
* DSP implementation of appropriate components of a LabVIEW designed system
* Providing system-level, hands-on experiments for DSP lab or project courses


Why Read This Book

You should read this book if you want a hands-on, system-level path from DSP algorithms to working prototypes using LabVIEW — it short-circuits low-level coding so you can focus on algorithm behavior, testing, and system integration. The book pairs DSP concepts (filters, FFT, spectral analysis) with LabVIEW examples and lab exercises so you can rapidly build and evaluate real-time signal-processing systems.

Who Will Benefit

Practicing engineers, lab instructors, and students with basic DSP knowledge who need to prototype, validate, or demo DSP systems quickly using National Instruments tools.

Level: Intermediate — Prerequisites: Basic DSP fundamentals (sampling, Fourier transform, basic filter theory) and familiarity with general programming concepts; prior LabVIEW experience helps but is not strictly required.

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Key Takeaways

  • Implement common DSP building blocks (FIR/IIR filters, FFT-based spectral analysis) inside LabVIEW
  • Prototype and debug real-time audio and communications signal-processing systems using LabVIEW toolkits and DAQ hardware
  • Design and evaluate system-level workflows that combine algorithm development, measurement, and HMI (graphical front-ends)
  • Integrate LabVIEW with real-time targets and hardware I/O for deterministic processing and performance testing
  • Use LabVIEW signal-processing libraries effectively to shorten the path from algorithm to demonstrable system

Topics Covered

  1. Introduction to System-Level DSP Design and LabVIEW
  2. Getting Started with LabVIEW: Graphical Programming Concepts
  3. Representing Signals and Basic DSP Operations in LabVIEW
  4. Digital Filter Design and Implementation (FIR and IIR)
  5. Spectral Analysis and the FFT in LabVIEW
  6. Real-Time Processing and Hardware I/O (Sound card, NI-DAQ, Real-Time targets)
  7. Signal Acquisition, Conditioning, and Measurement
  8. Audio and Speech Processing Examples
  9. Communications and Modulation/Demodulation Case Studies
  10. Performance Evaluation, Testing, and Debugging Techniques
  11. Deploying and Packaging DSP Applications
  12. Lab Exercises and Example Projects

Languages, Platforms & Tools

LabVIEWC (incidental/interop)NI-DAQ / National Instruments hardwareLabVIEW Real-Time targetsWindows (LabVIEW host)NI LabVIEWLabVIEW Signal Processing ToolkitNI-DAQmxLabVIEW Real-Time / (possible mention of LabVIEW FPGA in later editions)

How It Compares

Compared with 'Real-Time Digital Signal Processing' (Kuo et al.), this book emphasizes LabVIEW-based system prototyping rather than low-level fixed-point/assembly code on DSP chips; compared with classic theory texts (e.g., Oppenheim & Schafer), it is far more tool- and implementation-oriented.

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