Optical Signal Processing: Fundamentals
Autor Pankaj K. Dasen Limba Engleză Paperback – 23 dec 2011
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Specificații
ISBN-13: 9783642749643
ISBN-10: 364274964X
Pagini: 500
Ilustrații: XI, 483 p.
Dimensiuni: 155 x 235 x 26 mm
Greutate: 0.69 kg
Ediția:Softcover reprint of the original 1st ed. 1991
Editura: Springer Berlin, Heidelberg
Colecția Springer
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 364274964X
Pagini: 500
Ilustrații: XI, 483 p.
Dimensiuni: 155 x 235 x 26 mm
Greutate: 0.69 kg
Ediția:Softcover reprint of the original 1st ed. 1991
Editura: Springer Berlin, Heidelberg
Colecția Springer
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
Lower undergraduateCuprins
1. Introduction.- 1.1 Why Optical Signal Processing?.- 1.2 Signal Processing: Tools and Applications.- 1.3 Arrangement of the Book.- 2. Optics Fundamentals.- 2.1 Maxwell’s Equations.- 2.2 Boundary Conditions.- 2.3 Snell’s Laws.- 2.4 Total Internal Reflection and Optical Tunneling.- 2.5 Transmission Lines.- 2.6 Reflection and Transmission Coefficients for Electromagnetic Waves.- 2.7 Group and Phase Velocity.- 2.8 Gaussian Beam Propagation.- 2.9 Geometrical Optics.- 2.10 Gradient Optical Fiber.- 2.11 Integrated Optics and Step-Index Optical Fibers.- 2.12 Propagation in Anisotropic Media.- 2.13 Electro-optic Effect.- 2.14 The Acousto-optic or Elasto-optic Effect.- 2.15 Magneto-optics.- 2.16 Wave Equation with Source and Boundary.- 2.17 Fourier Optics.- 3. Signal Processing Fundamentals.- 3.1 Analog Signals and Systems.- 3.2 Discrete Systems.- 3.3 Noise and Stochastic Processes.- 3.4 Filters.- 3.5 Adaptive Filters.- 3.6 Power Spectra Estimation.- 3.7 Kalman Filtering.- 3.8 Two-Dimensional Signal Processing.- 3.9 Stochastic Processes: Multidimensional.- 3.10 The Ambiguity Function, Wigner Distribution Function and Triple Correlation.- 4. Introduction to SAW and CCD Technology.- 4.1 History of CCD and SAW Devices.- 4.2 Why SAWs Became Popular and Useful in the 1960s.- 4.3 Charge Coupled Devices.- 4.4 Magneto-Static Waves.- 4.5 ACT Devices.- 4.6 Comparison of Technologies.- Appendices.- A. Matrices.- A.1 The Hamilton-Cayley Theorem.- A.2 Some Definitions.- A.3 Matrix Inversion.- A.4 Gaussian Elimination Method.- A.5 Successive Orthogonalization of a Matrix.- A.6 Circulant Matrices and Fourier Matrices.- A.7 Pseudo-Inverse, Singular-Value Decomposition, Overdetermination and Principle of Least Squares: Kalman Filtering.- A.8 Coordinate Transformation.- B. OrthogonalFunctions and Polynomials.- B.1 Sturm-Liouville Equation.- B.2 Fourier Series.- B.3 Hypergeometric Series.- B.4 Legendre Polynomials.- B.5 Hermite Polynomials.- B.6 Laguerre Polynomials.- B.7 Generalized Laguerre Polynomials.- B.8 Chebyshev Polynomials.- B.9 Bessel Functions.- C. Principle of Stationary Phase.- D. Vectors.- D.1 Important Results.- D.2 Green’s Theorem: Scalar.- D.3 Green’s Theorem: Vector.- E. Symmetry Properties of Different Coefficients in Crystal Classes.- References.