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Digital Signal Processing, 2/e

Digital Signal Processing, 2/e

Author(s):
  • Emmanuel Ifeachor
  • Barry Jervis
    • Author: Emmanuel Ifeachor
    • ISBN:9788131708248
    • 10 Digit ISBN:8131708241
    • Price:Rs. 1150.00
    • Pages:960
    • Imprint:Pearson Education
    • Binding:Paperback
    • Status:Available


    Ratings:

    Now in its second edition, Digital Signal Processing offers modern coverage of the fundamentals, implementation and applications of digital signal processing techniques from a practical point of view.



    The past ten years has seen a significant growth in DSP applications throughout all areas of technology and this growth is expected well into the next millennium. This successful textbook covers most aspects of DSP found in undergraduate electrical, electronic or communications engineering courses. Unlike many other texts, it also covers a number of DSP techniques which are of particular relevance to industry such as adaptive filtering and multirate processing. The emphasis throughout the book is on the practical aspects of DSP.



    Table of Content

    1. Introduction.
    2. Analogue I/O Interface for Real-Time DSP Systems.
    3. Discrete Transform.
    4. The Z-Transform and Its Applications in Signal Processing.
    5. Correlation and Convolution.
    6. A Framework for Digital Filter Design.
    7. Finite Impulse Response (FIR) Filter Design.
    8. Design of Infinite Impulse Response (IIR) Digital Filters.
    9. Multirate Digital Signal Processing.
    10. Adaptive Digital Filters.
    11. Spectrum Estimation and Analysis.
    12. General and Special Purpose Hardware for DSP.
    13. Finite Word Length Effects in Fixed Point DSP Systems and Solutions.
    14. Applications, Case Studies and Assessment.

    Salient Features

    • NEW—Applications in audio, medical and telecommunications engineering.
    • NEW—Coverage of DSP system design includes the use of MATLAB.
    • NEW—More applications of multirate processing.
    • NEW—More hardware included in later chapters which Cover TI and Motorola systems.
    • Real-world application examples and end-of-chapter problems.
    • C language implementation of many DSP algorithms and functions.