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Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications
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Quantum-Mechanical Signal Processing and Spectral Analysis (Hardcover)
Loot Price: R7,064
Discovery Miles 70 640
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Quantum-Mechanical Signal Processing and Spectral Analysis (Hardcover)
Series: Series in Atomic Molecular Physics
Expected to ship within 10 - 15 working days
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Quantum-Mechanical Signal Processing and Spectral Analysis
describes the novel application of quantum mechanical methods to
signal processing across a range of interdisciplinary research
fields. Conventionally, signal processing is viewed as an
engineering discipline with its own specific scope, methods,
concerns and priorities, not usually encompassing quantum
mechanics. However, the dynamics of systems that generate time
signals can be successfully described by the general principles and
methods of quantum physics, especially within the Schrodinger
framework. Most time signals that are measured experimentally are
mathematically equivalent to quantum-mechanical auto-correlation
functions built from the evolution operator and wavefunctions. This
fact allows us to apply the rich conceptual strategies and
mathematical apparatus of quantum mechanics to signal processing.
Among the leading quantum-mechanical signal processing methods,
this book emphasizes the role of Pade approximant and the Lanczos
algorithm, highlighting the major benefits of their combination.
These two methods are carefully incorporated within a unified
framework of scattering and spectroscopy, developing an algorithmic
power that can be exported to other disciplines. The novelty of the
author's approach to key signal processing problems, the harmonic
inversion and the moment problem, is in establishing the Pade
approximant and Lanczos algorithm as entirely algerbraic spectral
estimators. This is of paramount theoretical and practical
importance, as now spectral analysis can be carried out from closed
analytical expressions. This overrides the notorious mathematical
ill-conditioning problems with round-off errors that plague inverse
reconstructions in those fields that rely upon signal processing.
Quantum-Mechanical Signal Processing and Spectral Analysis will be
an invaluable resource for researchers involved in signal
processing across a wide range of disciplines."
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