Engineering

For practicing engineers and scientists who design and analyze signal processing systems, i.e., to extract information from noisy signals — radar engineer, sonar engineer, geophysicist, oceanographer, biomedical engineer, communications engineer, economist, statistician, physicist, etc.

A unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms.

• describes the field of parameter estimation based on time series data.

• provides a summary of principal approaches as well as a “roadmap” to use in the selection of an estimator.

• extends many of the results for real data/real parameters to complex data/complex parameters.

• summarizes as examples many of the important estimators used in practice.

• illustrates how a digital computer can be used to assess performance of an estimator.

• emphasizes a linear model to allow an optimal estimator to be found by inspection of a data model.

 1. Introduction.


 2. Minimum Variance Unbiased Estimation.


 3. Cramer-Rao Lower Bound.


 4. Linear Models.


 5. General Minimum Variance Unbiased Estimation.


 6. Best Linear Unbiased Estimators.


 7. Maximum Likelihood Estimation.


 8. Least Squares.


 9. Method of Moments.


10. The Bayesian Philosophy.


11. General Bayesian Estimators.


12. Linear Bayesian Estimators.


13. Kalman Filters.


14. Summary of Estimators.


15. Extension for Complex Data and Parameters.


Appendix: Review of Important Concepts.


Glossary of Symbols and Abbreviations.

Statistical Signal Processing  [PTG: PRENTICE HALL PROFESSIONAL]   (Electrical and Computing Engineering)

Instructor's Solutions Manual, Fundamentals of Statistical Processing, Volume I: Estimation Theory
Kay
©1993 | Prentice Hall | Paper | Available on Demand   What's this?
ISBN-10: 0137147031 | ISBN-13: 9780137147038

This title is a member of the The Prentice Hall Signal Processing Series Series, which also contains the titles below . You can also visit the Prentice Hall Signal Processing Series Series page.

• 
  Array Signal Processing: Concepts and Techniques
  Johnson & Dugeon
  ©1993 | Prentice Hall | Paper; 512 pp | Instock
  ISBN-10: 0130485136 | ISBN-13: 9780130485137
  Brief Description | Buy from myPearsonStore

  

  This is the first book on the market to bring together material on array signal processing in a coherent fashion, with uniform notation and convention of models. Using extensive examples and problems, it presents not only the theories of propagating waves and conventional array processing algorithms, but also the underlying ideas of adaptive array processing and multi-array tracking algorithms.

• 
  Digital Video Processing
  Tekalp
  ©1996 | Prentice Hall | Paper; 560 pp | Instock
  ISBN-10: 0131900757 | ISBN-13: 9780131900752
  Brief Description | Buy from myPearsonStore

  

  For electrical engineers, telecommunications managers, computer scientists, product planners, technical and market consultants, and all those interested in digital video image processing.

  In response to the boom in video processing, and multimedia systems and services, this book provides a comprehensive overview of video image processing.

• 
  Discrete-Time Speech Signal Processing: Principles and Practice
  Quatieri
  ©2002 | Prentice Hall | Paper; 816 pp | Instock
  ISBN-10: 013242942X | ISBN-13: 9780132429429
  Brief Description | Buy from myPearsonStore

  

  For advanced upper level undergraduate courses and graduate level courses in speech signal processing in Electrical Engineering covering application areas of telecommunications, speech on the internet, biometric and recognition technology, audio and speech special effects in the music and entertainment industries, and speech and hearing science. It is also useful as a reference for speech signal researchers in a university, government, or industrial laboratory.

  This book provides an up-to-date, intensive introduction to the fundamental theory of discrete-time speech signal processing while presenting the state-of-the-art in speech processing research, its applications to speech modification and enhancement, speech coding, and speaker recognition, as well as areas for further advancement in the field.

• 
  Fundamentals of Speech Recognition
  Rabiner & Juang
  ©1993 | Prentice Hall | Paper; 496 pp | Instock
  ISBN-10: 0130151572 | ISBN-13: 9780130151575
  Brief Description | Buy from myPearsonStore

  

  Provides a complete description of the basic knowledge and ideas that constitute a modern system for speech recognition by machine.

• 
  Fundamentals of Statistical Processing, Volume I: Estimation Theory
  Kay
  ©1993 | Prentice Hall | Cloth; 625 pp | Instock
  ISBN-10: 0133457117 | ISBN-13: 9780133457117
  Brief Description | Buy from myPearsonStore

  

  For practicing engineers and scientists who design and analyze signal processing systems, i.e., to extract information from noisy signals — radar engineer, sonar engineer, geophysicist, oceanographer, biomedical engineer, communications engineer, economist, statistician, physicist, etc.

  A unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms.

• 
  Fundamentals of Statistical Signal Processing, Volume 2: Detection Theory
  Kay
  ©1998 | Prentice Hall | Cloth; 672 pp | Instock
  ISBN-10: 013504135X | ISBN-13: 9780135041352
  Brief Description | Buy from myPearsonStore

  

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• 
  Higher Order Spectra Analysis: A Non-Linear Signal Processing Framework
  Nikias & Petropulu
  ©1993 | Prentice Hall | Paper; 528 pp | Instock
  ISBN-10: 0136782108 | ISBN-13: 9780136782100
  Brief Description | Buy from myPearsonStore

  

  This manual will be valuable to practicing engineers who need an introduction to polyspectra from a signal processing perspective.

  In response to the recent growth of interest in polyspectra, this timely text provides an introduction to signal processing methods that are based on polyspectra and cumulants concepts. The emphasis of the book is placed on the presentation of signal processing tools for use in situations where the more common power spectrum estimation techniques fall short.

• 
  Lessons in Estimation Theory for Signal Processing, Communications, and Control, 2/E
  Mendel
  ©1995 | Prentice Hall | Paper; 592 pp | Available on Demand   What's this?
  ISBN-10: 0131209817 | ISBN-13: 9780131209817
  Brief Description | Buy from myPearsonStore

  

  An introduction to the field of estimation theory. It is in a lesson format and so can be used for self-study or in a one semester course. The computation that is essential in order to use the estimation algorithms, is associated with MATLAB and its associated tool boxes.

• 
  Multirate Systems And Filter Banks
  Vaidyanathanm
  ©1993 | Prentice Hall | Paper; 944 pp | Instock
  ISBN-10: 0136057187 | ISBN-13: 9780136057185
  Brief Description | Buy from myPearsonStore

  

  Presenting general principles without bias toward specific application-oriented detail, this text offers a thorough, unified and in-depth treatment of the techniques of multirate signal processing.

• 
  Time Frequency Analysis: Theory and Applications
  Cohen
  ©1995 | Prentice Hall | Paper; 320 pp | Instock
  ISBN-10: 0135945321 | ISBN-13: 9780135945322
  Brief Description | Buy from myPearsonStore

  

  For engineers, acoustic scientists, medical scientists and developers, mathematicians, physicists, and mangers working in the fields of acoustics, sonar, radar, image processing, biomedical devices, communication.

  Featuring traditional coverage as well as new research results that, until now, have been scattered throughout the professional literature, this book brings together—in simple language—the basic ideas and methods that have been developed to study natural and man-made signals whose frequency content changes with time—e.g., speech, sonar and radar, optical images, mechanical vibrations, acoustic signals, biological/biomedical and geophysical signals. Covers time analysis, frequency analysis, and scale analysis; time-bandwidth relations; instantaneous frequency; densities and local quantities; the short time Fourier Transform; time-frequency analysis; the Wigner representation; time-frequency representations; computation methods; the synthesis problem; spatial-spatial/frequency representations; time-scale representations; operators; general joint representations; stochastic signals; and higher order time-frequency distributions. Illustrates each concept with examples and shows how the methods have been extended to other variables, such as scale.

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