Sale!

Signal Processing in Digital Communications Artech House Signal Processing Library 1st Edition by George Miao ISBN 1580536670 9781580536677

Original price was: $50.00.Current price is: $35.00.

Signal Processing for Digital Communications Artech House Signal Processing Library George J. Miao Digital Instant Download

Author(s): George J. Miao
ISBN(s): 9781580536677, 1580536670
Edition: Illustrated
File Details: PDF, 1.78 MB
Year: 2006
Language: english
SKU: EB-6328360 Category: Tag:

Signal Processing in Digital Communications Artech House Signal Processing Library 1st Edition by George Miao- Ebook PDF Instant Download/Delivery: 1580536670 ,9781580536677
Full download Signal Processing in Digital Communications Artech House Signal Processing Library 1st Edition after payment


Product details:
ISBN 10: 1580536670
ISBN 13: 9781580536677
Author: George Miao

A complete resource on signal processing for digital communications, including in-depth coverage of theory, algorithms, system design, simulation, analysis, and applications.
 

Signal Processing in Digital Communications Artech House Signal Processing Library 1st Edition Table of contents:

Part I: Fundamentals of Signal Processing

Chapter 1: Introduction to Signal Processing in Communications

  • The role of signal processing in digital communications.
  • Basic concepts and definitions: signals, systems, and transforms.
  • Analog vs. digital signals.
  • An overview of digital communication systems.

Chapter 2: Discrete-Time Signals and Systems

  • Definitions and properties of discrete-time signals.
  • Discrete-time systems and their classification.
  • Convolution and system responses.
  • The Z-transform and its applications.

Chapter 3: Fourier Analysis and Transforms

  • Fourier series and Fourier transform.
  • The Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT).
  • Applications of Fourier analysis in communication systems.
  • Spectral analysis of signals.

Chapter 4: Sampling and Quantization

  • The sampling theorem and aliasing.
  • Quantization of signals.
  • Digital signal processing and the Nyquist rate.
  • Practical considerations in sampling and quantization.

Part II: Modulation and Demodulation Techniques

Chapter 5: Digital Modulation Techniques

  • Basic principles of digital modulation.
  • Amplitude Shift Keying (ASK), Frequency Shift Keying (FSK), Phase Shift Keying (PSK), and Quadrature Amplitude Modulation (QAM).
  • Power efficiency and bandwidth efficiency in modulation.
  • Performance metrics: error rates, signal-to-noise ratio (SNR).

Chapter 6: Modulation Techniques for Bandwidth Efficiency

  • Advanced modulation schemes: M-ary signaling and OFDM (Orthogonal Frequency Division Multiplexing).
  • Trade-offs between bandwidth efficiency and power efficiency.
  • Applications of high-order QAM in modern communication systems.
  • Comparison of modulation schemes in terms of performance.

Chapter 7: Demodulation and Signal Detection

  • Principles of signal detection in noisy environments.
  • Matched filter detection and the likelihood ratio test.
  • Bit error rate (BER) and its calculation.
  • Optimal detection strategies for digital communication systems.

Part III: Signal Processing for Communication Systems

Chapter 8: Channel Coding and Error Correction

  • The need for error correction in digital communications.
  • Block codes and convolutional codes.
  • Turbo codes and LDPC (Low-Density Parity-Check) codes.
  • Performance of error correction schemes in real-world communication channels.

Chapter 9: Equalization Techniques

  • The problem of inter-symbol interference (ISI) in digital communication.
  • Linear equalization: Zero-Forcing and MMSE (Minimum Mean Square Error) equalizers.
  • Decision feedback equalization (DFE).
  • Adaptive equalization techniques.

Chapter 10: Synchronization in Digital Communications

  • The need for synchronization in digital communication systems.
  • Time and frequency synchronization techniques.
  • Symbol synchronization and carrier phase synchronization.
  • The role of synchronization in reducing errors and improving performance.

Part IV: Advanced Topics in Signal Processing

Chapter 11: Multi-Carrier and Spread Spectrum Techniques

  • Overview of multi-carrier modulation: Orthogonal Frequency Division Multiplexing (OFDM).
  • Code Division Multiple Access (CDMA) and Direct Sequence Spread Spectrum (DSSS).
  • Frequency hopping and time hopping spread spectrum.
  • Applications in modern wireless communication systems.

Chapter 12: Adaptive Signal Processing

  • Adaptive filtering and its applications in communications.
  • Least Mean Squares (LMS) algorithm and Recursive Least Squares (RLS) algorithm.
  • Applications in channel estimation, noise cancellation, and interference rejection.
  • Practical examples in wireless communications.

Chapter 13: MIMO Systems and Spatial Signal Processing

  • Introduction to Multiple-Input Multiple-Output (MIMO) systems.
  • MIMO channel models and capacity.
  • Space-Time Coding and diversity techniques.
  • Applications of MIMO in modern wireless systems, including 4G and 5G.

Chapter 14: Cognitive Radio and Dynamic Spectrum Access

  • Overview of cognitive radio systems.
  • Spectrum sensing, dynamic spectrum access, and interference management.
  • Applications in wireless communication systems.
  • Future prospects for cognitive radio in 5G and beyond.

Part V: Real-World Applications and Emerging Technologies

Chapter 15: Applications in Wireless Communications

  • Wireless communication technologies: Wi-Fi, LTE, 5G, and beyond.
  • Signal processing techniques in mobile communication.
  • Network coding and its application in wireless networks.
  • Power control and interference management.

Chapter 16: Satellite and Space Communications

  • The role of signal processing in satellite communication.
  • Modulation and coding techniques for satellite links.
  • Challenges in space communications: latency, noise, and interference.
  • Future trends in satellite communication systems.

Chapter 17: Optical Communication Systems

  • Signal processing in optical communication.
  • Modulation techniques for optical fiber communication.
  • Dispersion management and non-linear effects in fiber optics.
  • The future of optical networks and their integration with wireless systems.

Appendix

  • Mathematical tools and techniques used in signal processing.
  • Commonly used functions and transforms.
  • Additional resources for further reading.

People also search for Signal Processing in Digital Communications Artech House Signal Processing Library 1st Edition:

what does digital signal processing mean

how does digital signal processing work

why is signal processing important

signal processing for communications pdf

Tags:

George Miao,Signal Processing,Digital Communications