Real-Time Digital Signal Processing : Fundamentals, Implementations and Applications.

Real-Time Digital Signal Processing : Fundamentals, Implementations and Applications.

"Real-Time Digital Signal Processing introduces fundamental digital signal processing (DSP) principles and will be updated to include the latest DSP applications, introduce new software development tools and adjust the software design process to reflect the latest advances in the field. In the...

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Bibliographic Details
Main Author: Kuo, Sen M.
Format: eBook
Language:English
Published: Wiley, 2013.
Subjects:
Signal processing > Digital techniques.
Texas Instruments TMS320 series microprocessors.
Electronic books.
Online Access:Click for online access
Table of Contents:
  • Real-Time Digital Signal Processing: Fundamentals, implementations and applications
  • Contents
  • Preface
  • Acknowledgments
  • 1 Introduction to Real-Time Digital Signal Processing
  • 1.1 Basic Elements of Real-Time DSP Systems
  • 1.2 Analog Interface
  • 1.2.1 Sampling
  • 1.2.2 Quantization and Encoding
  • 1.2.3 Smoothing Filters
  • 1.2.4 Data Converters
  • 1.3 DSP Hardware
  • 1.3.1 DSP Hardware Options
  • 1.3.2 Digital Signal Processors
  • 1.3.3 Fixed- and Floating-Point Processors
  • 1.3.4 Real-Time Constraints
  • 1.4 DSP System Design
  • 1.4.1 Algorithm Development
  • 1.4.2 Selection of DSP Hardware
  • 1.4.3 Software Development
  • 1.4.4 Software Development Tools
  • 1.5 Experiments and Program Examples
  • 1.5.1 Get Started with CCS and eZdsp
  • 1.5.2 C File I/O Functions
  • 1.5.3 User Interface for eZdsp
  • 1.5.4 Audio Playback Using eZdsp
  • 1.5.5 Audio Loopback Using eZdsp
  • Exercises
  • References
  • 2 DSP Fundamentals and Implementation Considerations
  • 2.1 Digital Signals and Systems
  • 2.1.1 Elementary Digital Signals
  • 2.1.2 Block Diagram Representation of Digital Systems
  • 2.2 System Concepts
  • 2.2.1 LTI Systems
  • 2.2.2 The z-transform
  • 2.2.3 Transfer Functions
  • 2.2.4 Poles and Zeros
  • 2.2.5 Frequency Responses
  • 2.2.6 Discrete Fourier Transform
  • 2.3 Introduction to Random Variables
  • 2.3.1 Review of Random Variables
  • 2.3.2 Operations of Random Variables
  • 2.4 Fixed-Point Representations and Quantization Effects
  • 2.4.1 Fixed-Point Formats
  • 2.4.2 Quantization Errors
  • 2.4.3 Signal Quantization
  • 2.4.4 Coefficient Quantization
  • 2.4.5 Roundoff Noise
  • 2.4.6 Fixed-Point Toolbox
  • 2.5 Overflow and Solutions
  • 2.5.1 Saturation Arithmetic
  • 2.5.2 Overflow Handling
  • 2.5.3 Scaling of Signals
  • 2.5.4 Guard Bits
  • 2.6 Experiments and Program Examples
  • 2.6.1 Overflow and Saturation Arithmetic
  • 2.6.2 Function Approximations
  • 2.6.3 Real-Time Signal Generation Using eZdsp
  • Exercises
  • References
  • 3 Design and Implementation of FIR Filters
  • 3.1 Introduction to FIR Filters
  • 3.1.1 Filter Characteristics
  • 3.1.2 Filter Types
  • 3.1.3 Filter Specifications
  • 3.1.4 Linear Phase FIR Filters
  • 3.1.5 Realization of FIR Filters
  • 3.2 Design of FIR Filters
  • 3.2.1 Fourier Series Method
  • 3.2.2 Gibbs Phenomenon
  • 3.2.3 Window Functions
  • 3.2.4 Design of FIR Filters Using MATLAB®
  • 3.2.5 Design of FIR Filters Using the FDATool
  • 3.3 Implementation Considerations
  • 3.3.1 Quantization Effects in FIR Filters
  • 3.3.2 MATLAB® Implementations
  • 3.3.3 Floating-Point C Implementations
  • 3.3.4 Fixed-Point C Implementations
  • 3.4 Applications: Interpolation and Decimation Filters
  • 3.4.1 Interpolation
  • 3.4.2 Decimation
  • 3.4.3 Sampling Rate Conversion
  • 3.4.4 MATLAB® Implementations
  • 3.5 Experiments and Program Examples
  • 3.5.1 FIR Filtering Using Fixed-Point C
  • 3.5.2 FIR Filtering Using C55xx Assembly Program

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