Digital signal processing system-level design using LabVIEW /

Mostrar otras versiones (3)

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...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Kehtarnavaz, Nasser
Otros Autores: Kim, Namjin
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Oxford : Elsevier/Newnes, 2005.
Temas:
LabVIEW.
LabVIEW
Signal processing > Digital techniques > Computer programs.
Traitement du signal > Techniques numériques > Logiciels.
COMPUTERS > Information Theory.
TECHNOLOGY & ENGINEERING > Signals & Signal Processing.
Signal processing > Digital techniques > Computer programs
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Front Cover; Digital Signal Processing System-Level Design Using LabVIEW TM; Copyright Page; Contents; Preface; What's on the CD-ROM?; Chapter 1. Introduction; 1.1 Digital Signal Processing Hands-On Lab Courses; 1.2 Organization; 1.3 Software Installation; 1.4 Updates; 1.5 Bibliography; Chapter 2. LabVIEW Programming Environment; 2.1 Virtual Instruments (VIs); 2.2 Graphical Environment; 2.3 Building a Front Panel; 2.4 Building a Block Diagram; 2.5 Grouping Data: Array and Cluster; 2.6 Debugging and Profiling VIs; 2.7 Bibliography; Lab 1: Getting Familiar with LabVIEW: Part I
  • L1.1 Building a Simple VIL1.2 Using Structures and SubVIs; L1.3 Create an Array with Indexing; L1.4 Debugging VIs: Probe Tool; L1.5 Bibliography; Lab 2: Getting Familiar with LabVIEW: Part II; L2.1 Building a System VI with Express VIs; L2.2 Building a System with Regular VIs; L2.3 Profile VI; L2.4 Bibliography; Chapter 3. Analog-to-Digital Signal Conversion; 3.1 Sampling; 3.2 Quantization; 3.3 Signal Reconstruction; Lab 3: Sampling, Quantization and Reconstruction; L3.1 Aliasing; L3.2 Fast Fourier Transform; L3.3 Quantization; L3.4 Signal Reconstruction; L3.5 Bibliography
  • Chapter 4. Digital Filtering 4.1 Digital Filtering; 4.2 LabVIEW Digital Filter Design Toolkit; 4.3 Bibliography; Lab 4: FIR/IIR Filtering System Design; L4.1 FIR Filtering System; L4.2 IIR Filtering System; L4.3 Building a Filtering System Using Filter Coefficients; L4.4 Filter Design Without Using DFD Toolkit; L4.5 Bibliography; Chapter 5. Fixed-Point versus Floating-Point; 5.1 Q-format Number Representation; 5.2 Finite Word Length Effects; 5.3 Floating-Point Number Representation; 5.4 Overflow and Scaling; 5.5 Data Types in LabVIEW; 5.6 Bibliography; Lab 5: Data Type and Scaling
  • L5.1 Handling Data types in LabVIEW L5.2 Overflow Handling; L5.3 Scaling Approach; L5.4 Digital Filtering in Fixed-Point Format; L5.5 Bibliography; Chapter 6. Adaptive Filtering; 6.1 System Identification; 6.2 Noise Cancellation; 6.3 Bibliography; Lab 6: Adaptive Filtering Systems; L6.1 System Identification; L6.2 Noise Cancellation; L6.3 Bibliography; Chapter 7. Frequency Domain Processing; 7.1 Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT); 7.2 Short-Time Fourier Transform (STFT); 7.3 Discrete Wavelet Transform (DWT); 7.4 Signal Processing Toolset; 7.5 Bibliography
  • Lab 7: FFT, STFT and DWT L7.1 FFT versus STFT; L7.2 DWT; L7.3 Bibliography; Chapter 8. DSP Implementation Platform: TMS3aOC6x Architecture and Software Tools; 8.1 TMS320C6X DSP; 8.2 C6x DSK Target Boards; 8.3 DSP Programming; 8.4 Bibliography; Lab 8: Getting Familiar with Code Composer Studio; L8.1 Code Composer Studio; L8.2 Creating Projects; L8.3 Debugging Tools; L8.4 Bibliography; Chapter 9. LabVIEW DSP Integration; 9.1 Communication with LabVIEW: Real-Time Data Exchange (RTDX); 9.2 LabVIEW DSP Test Integration Toolkit for TI DSP; 9.3 Combined Implementation: Gain Example; 9.4 Bibliography

Ejemplares similares