Gan, Woon-Seng.

Embedded signal processing with the Micro Signal Architecture / Woon-Seng Gan, Sen M. Kuo. - Hoboken, N.J. : Wiley-Interscience : IEEE Press, c2007. - xix, 486 p. : ill. ; 25 cm.

Includes bibliographical references (p. 475-[478]) and index.

Chapter 1. Introduction. -- Chapter 2. Time-Domain Signals and Systems. -- Chapter 3. Frequency-Domain Analysis and Processing. -- Chapter 4. Digital Filtering. -- Chapter 5. Introduction to the Blackfin Processor. -- Chapter 6. Real-Time DSP Fundamentals and Implementation Considerations. -- Chapter 7. Memory System and Data Transfer. -- Chapter 8. Code Optimization and Power Management. -- Chapter 9. Practical DSP Applications: Audio Coding and Audio Effects. -- Chapter 10. Practical DSP Applications: Digital Image Processing. --


This is a real-time digital signal processing textbook using the latest embedded Blackfin processor Analog Devices, Inc (ADI). 20% of the text is dedicated to general real-time signal processing principles. The remaining text provides an overview of the Blackfin processor, its programming, applications, and hands-on exercises for users. With all the practical examples given to expedite the learning development of Blackfin processors, the textbook doubles as a ready-to-use user's guide. The book is based on a step-by-step approach in which readers are first introduced to the DSP systems and concepts. Although, basic DSP concepts are introduced to allow easy referencing, readers are recommended to complete a basic course on "Signals and Systems" before attempting to use this book. This is also the first textbook that illustrates graphical programming for embedded processor using the latest LabVIEW Embedded Module for the ADI Blackfin Processors. A solutions manual is available for adopters of the book from the Wiley editorial department.

0471738417 9780471738411

2006049693

GBA696255 bnb

013601799 Uk


Signal processing
Embedded computer systems
Computer architecture.--Digital techniques.--Programming.

TK5102.9 / .G364 2007

621.3822 / GAN