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LabVIEW Digital Signal Processing teaches engineers how to use the graphical programming language to create virtual instruments to handle to most sophisticated DSP applications. From basic filters to complex sampling mechanisms to signal generators, LabVIEW virtual instruments (VIs) can make DSP work faster and much less expensive – a particular boon to the many engineers working on cutting edge communications systems.
Part 1: Getting Started
Chapter 1: Digital Communications and LabVIEW
Chapter 2: Getting a Signal into LabVIEW
Part 2: Building Blocks
Chapter 3: Spectral Analysis
Chapter 4: Digital Filters
Chapter 5: Multirate Signal Processing in LabVIEW
Chapter 6: Generating Signals with LabVIEW
Part 3: Building a Communication System
Chapter 7: Assembling the Pieces
Chapter 8: System Performance
Chapter 9: Optimizing LabVIEW Signal Processing
APPENDIX A: VI REFERENCE
APPENDIX B: HARDWARE RESOURCES
INDEX
Cory L. Clark is a senior software engineer with Motorola and has developed many LabVIEW-based DSP tools. He holds a master's degree in electrical engineering from Georgia Tech.
Create sophisticated DSP virtual instruments with LabVIEW
Take full advantage of all the digital signal processing capabilities LabVIEW has to offer with help from this hands-on tutorial. Readers will learn, step-by-step, how to use this revolutionary graphical development environmentto build flexible and scalable digital signal acquisition, measurement analysis, and data presentation applications.
From basic filters to complex sampling mechanisms to signal generators, LabVIEW virtual instruments (VIs) enable rapid and inexpensive digital signal processing. Ideal for engineers working on cutting-edge communication systems, this detailed learning guide offers solutions for creating applications that interface with real-world signals, analyzing data for meaningful information, and sharing results.
Comprehensive coverage includes:
LabVIEW Fourier tools
Designing with built-in filtering routines
Optimizing and improving speed
IQ modulation
Time and frequency synchronization
Evaluating system performance
HANDLE EVEN THE MOST COMPLEX DSP APPLICATIONS
Getting started * Digital signal processing and LabVIEW: How do they fit together? * Signal acquisition * Building blocks * Spectral analysis * Designing and using digital filters * Multirate processing * Building a communication system * Generating signals * Demodulation