Skip to main content
SpringerLink
Log in

Signal Processing Fundamentals

  • Chapter
Optical Signal Processing

  • 267 Accesses

Abstract

In this chapter, we shall review material relevant to the understanding, design and application of optical and other devices discussed in this book. Signals can be analog, discrete or digital. For the analog case, the time or space variable is continuous. For the discrete case, the time axis is sampled at a fixed interval or for discrete values, even though the amplitude remains analog or continuous. Of course, for a digital system, the time is discrete and the amplitude is represented by a digital number. The spatial signal can also be two- or multidimensional.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. S. Darlington: US patent No. 2,678,997, May 18 (1954)

    Google Scholar 

  2. FJ. Harris: Proc. IFFY. 66, 51 (1978)

    Article  ADS  Google Scholar 

  3. F. Italcura, S. Saito: In 7th Intl. Cong. Acoustics (Budapest) (1971) pp. 261–264

    Google Scholar 

  4. C.H. Sequin, M.F. Tompsett: Charge Transfer Devices ( Academic, New York 1975 )

    Google Scholar 

  5. D.A. Smith, C.M. Puckett, W. J. Butler: Active bandpass filtering with bucket brigade delay lines, IEEE J. SC-7, 421 (1972)

    Google Scholar 

  6. R.H. Tancre11: IEEE Trans. SU-21, 12 (1974)

    Google Scholar 

  7. M.H. White, I.A. Mack, G.M. Borsuk, D.R. Lampe, FJ. Kub: Charge coupled device (CCD) adaptive discrete analog signal processing. JEFF J SC-14, 132 (1979)

    Google Scholar 

  8. E.L. O’Neil: Introduction to Statistical Optics ( Addison-Wesley, Reading, MA 1963 )

    Google Scholar 

  9. R.M.A. Azzam, N.M. Bashara: Ellipsometry and Polarized Light ( North-Holland, Amsterdam 1977 )

    Google Scholar 

  10. A.W. Rihaczek: Principles of High Resolution Radar, ( McGraw-Hill, New York 1969 )

    Google Scholar 

  11. J.R. Klauder: The design of radar signals having both high range resolution and high velocity resolution. Bell Syst. Tech. J. 39, 809 (1960)

    Google Scholar 

  12. H.O. Bartlet, K.H. Brenner, A.W. Lohmann: The Wigner distribution function and its optical production. Opt. Commun. 2, 32 (1981)

    Google Scholar 

  13. R.S. Berkowitz: Modern Radar ( Wiley, New York 1965 )

    Google Scholar 

  14. K.H. Brenner, A.W. Lohmann: Wigner distribution function display of complex ID signals. Opt. Commun. 42, 310 (1982)

    Article  ADS  Google Scholar 

  15. T.A.C.M. Claasen, W.F.G. Mecklenbrauker: The Wigner distribution A tool for time-frequency signal analysis, Part I: Continuous-time signals. Philips J. Res. 35, 217 (1980)

    MATH  MathSciNet  Google Scholar 

  16. T.A.C.M. Claasen, W.F.G. Mecklenbrauker: The Wigner distribution A tool for time-frequency signal analysis, Part II: Discrete-time signals. Philips J. Res. 35, 276 (1980)

    MATH  MathSciNet  Google Scholar 

  17. T.A.C.M. Claasen, W.F.G. Mecklenbrauker: The Wigner distribution A tool for time-frequency signal analysis, Part III: Relations with other time-frequency signal transformations. Philips J. Res. 35, 372 (1980)

    MATH  MathSciNet  Google Scholar 

  18. W.L. Eversole, DJ. Meyer, RJ. Kansy: “A CCD Two-Dimensional Transform” in Proc. 1978 Int. Conf. on the Application of Charge Coupled Devices, p. 3B-31

    Google Scholar 

  19. B. Friedlander: Lattice filters for adaptive processing. Proc. IEEE 70, 829 (1982)

    Article  Google Scholar 

  20. J.D. Gaskill: Linear Systems, Fourier Transforms and Optics ( Wiley, New York 1978 )

    Google Scholar 

  21. A. Gelb (ed.): Applied Optimal Estimation ( MIT, Cambridge, MA 1974 )

    Google Scholar 

  22. J. Goodman: Introduction to Fourier Optics ( McGraw-Hill, New York 1968 )

    Google Scholar 

  23. L.J. Griffiths: “Adaptive Structures for Multiple-Input Noise Cancelling Applications”, in Proc JE.FF. Int. Conf. on Acoustics, Speech, and Signal Processing (1979) p. 925

    Google Scholar 

  24. A.W. Lohman, B. Wirnitzer: Triple correlations, Proc. IEEE. 72, 889 (1984)

    Article  Google Scholar 

  25. J. Mahoul: A class of all-zero lattice digital fiters: Properties and applications. IEEE Trans. ASSP-26, 304 (1978).

    Google Scholar 

  26. A. Oppenheim, R.W. Schafer: Digital Signal Processing ( Prentice Hall, Englewood Cliffs, NJ 1975 )

    MATH  Google Scholar 

  27. A. Papoulis: Systems and Transforms with Applications in Optics ( McGraw-Hill, New York 1968 )

    Google Scholar 

  28. A. Papoulis: Signal Analysis ( McGraw-Hill, New York 1977 )

    MATH  Google Scholar 

  29. W.K. Pratt: Digital Image Processing ( Wiley, New York 1978 )

    Google Scholar 

  30. E.A. Robinson: A historical perspective of spectrum estimation. Proc. IFFF 70, 885 (1982)

    Article  ADS  Google Scholar 

  31. B. Saleh: Photoelectron Statistics, Springer Ser. Opt. Sci., Vol. 6 (Springer, Berlin, Heidelberg 1978) Special Issue, Spectral Estimation. Proc. IEEE, Vol. 70 (Sept. 1982)

    Google Scholar 

  32. H.H. Szu, HJ. Caulfield: The mutual time-frequency content of two signals. Pmc. IEEE 72, 902 (1984)

    Article  Google Scholar 

  33. B. Widrow, M. Hoff, Jr.: “Adaptive Switching Circuits”, in IRE WESCON Conv. Rec. (1960) Pt.4, pp. 96–104

    Google Scholar 

  34. B. Widrow, S.D. Stearns: Adaptive Signal Processing ( Prentice Hall, Englewood Cliffs, NJ 1985 )

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Electrical, Computer, and Systems Engineering Department, School of Engineering, Rensselaer Polytechnic Institute, 12180-3590, Troy, NY, USA

    Professor Pankaj K. Das

Authors
  1. Professor Pankaj K. Das
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

Copyright information

© 1991 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Das, P.K. (1991). Signal Processing Fundamentals. In: Optical Signal Processing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-74962-9_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-74962-9_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-74964-3

  • Online ISBN: 978-3-642-74962-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation