Representations of SU(2,1) in Fourier Term Modules
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This book studies the modules arising in Fourier expansions of automorphic forms, namely Fourier term modules on SU(2,1), the smallest rank one Lie group with a non-abelian unipotent subgroup. It considers the “abelian” Fourier term modules connected to characters of the maximal unipotent subgroups of SU(2,1), and also the “non-abelian” modules, described via theta functions. A complete description of the submodule structure of all Fourier term modules is given, with a discussion of the consequences for Fourier expansions of automorphic forms, automorphic forms with exponential growth included.
These results can be applied to prove a completeness result for Poincaré series in spaces of square integrable automorphic forms.
Aimed at researchers and graduate students interested in automorphic forms, harmonic analysis on Lie groups, and number-theoretic topics related to Poincaré series, the book will also serve as a basic reference on spectral expansion with Fourier-Jacobi coefficients. Only a background in Lie groups and their representations is assumed.
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Problems and Solutions in Banach Spaces, Hilbert Spaces, Fourier Transform, Wavelets, Generalized Functions and Quantum Mechanics
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This book presents a collection of problems and solutions in functional analysis with applications to quantum mechanics. Emphasis is given to Banach spaces, Hilbert spaces and generalized functions.
The material of this volume is self-contained, whereby each chapter comprises an introduction with the relevant notations, definitions, and theorems. The approach in this volume is to provide students with instructive problems along with problem-solving strategies. Programming problems with solutions are also included.
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Sample Chapter(s)
Preface
Chapter 1: Normed Spaces and Banach Spaces
Contents:
Normed Spaces and Banach Spaces
Hilbert Spaces
Finite Dimensional Hilbert Spaces
Hilbert Space L₂(Ω)
Hilbert Space ℓ₂(II)
Fourier Transform
Wavelets
Holomorphic Entire Functions and Hilbert Space
Generalized Functions
Quantum Mechanics
Readership: Advanced undergraduate, graduate and post-graduate students in mathematics and theoretical physics. The book is also suitable for those taking courses in functional analysis and quantum theory.
原價:
2211
售價:
2100
現省:
111元
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DOH! FOURIER: THEORY, APPLICATIONS, AND DERIVATIVES
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D'oh! Fourier introduces the Fourier transform and is aimed at undergraduates in Computer Science, Mathematics, and Applied Sciences, as well as for those wishing to extend their education. Formulated around ten key points, this accessible book is light-hearted and illustrative, with many applications. The basis and deployment of the Fourier transform are covered applying real-world examples throughout inductively rather than the theoretical approach deductively.
The key components of the textbook are continuous signals analysis, discrete signals analysis, image processing, applications of Fourier analysis, together with the origin and nature of the transform itself. D'oh! Fourier is reproducible via MATLAB/Octave and is supported by a comprehensive website which provides the code contained within the book.
Sample Chapter(s)
Preface
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Contents:
Preface
Style
Target Audience
Overview of Structure
In Gratitude
Key points (tldr)
Basic Notions and the Nature of the Fourier Transform:
Why Read this Book?
Software and Reproducibility
Notation
Basic Functions
Analysing Signals by Their Components: Approximating Functions by Mathematical Series:
Taylor Series
Fourier Series
What is the Fourier Transform, and What Can It Do?
Everyday Use of the Fourier Transform:
Transforms and Speech Recognition
Transforms and Image Compression
Human Hearing and a Transform
Light and Frequency
Summary and Further Reading
The Continuous Fourier Transform:
Continuous Fourier Transform Basis:
Continuous Signals and Their Fourier Transform
Magnitude and Phase
Inverse Fourier Transform
Fourier Transform in Matlab
Fourier Transform Pairs
Properties of the Continuous FT:
Superposition
Time Shift
Scaling in Time
Parseval's Theorem (Rayleigh's Theorem)
Symmetry
Differentiation
Uncertainty Principle
Modulation
Processing Signals Using the FT:
Convolution
Correlation
What is the Importance of Phase?:
Phase in Signal Reconstruction
Phase in Shift Invariance
Windowing the FT Data:
Basic Windowing
Hanning and Hamming Window Operators
Window Duration
Other Windowing Functions
Filtering The FT Data:
Basic Filters and Signal Processing
Bessel Filters
Summary
The Discrete Fourier Transform:
The Sampling Theorem:
Sampling Signals
Sampling Process in the Frequency Domain
The Discrete Fourier Transform:
Basic DFT
Inverse DFT
Visualising the DFT Data
DFT in Matlab
DFT Pairs
Properties of The DFT:
Basic Considerations
Linearity/Superposition
Time Shift
Time Scaling
Parseval's Theorem (Rayleigh's Theorem)
Symmetry
Differentiation
Importance of Phase — DFT
Discrete Data Windowing Functions
Discrete Convolution and Correlation:
Discrete Convolution
Discrete Correlation
Digital Filters; Averaging and Differencing Samples
The Fast Fourier Transform:
The Butterfly Operation and Basic Components of the FFT
Decimation in Time
Radix 2 FFT
Computational Time for FFT Compared with DFT
Optimising the FFT
Even Faster FFT Algorithms
Summary
The Two-Dimensional Fourier Transform:
2-D Functions and Images:
Image Formation
Human Vision
Sampling Images
Discrete Images
Discrete Image Frequency Components
2-D Fourier Transform and Its Inverse:
2-D Continuous Fourier Transform and Separability
2-D Discrete Fourier Transform
Properties of The 2-D Discrete Fourier Transform:
Displaying Images
Rotation
Scaling
Shift Invariance
The Importance of Phase
Computational Cost of 2-D DFT and FFT
Image Processing via the Fourier Transform:
Convolution
Computational Considerations of Image Convolution and Template Convolution
Correlation
Filtering
Summary
Variants of the Fourier Transform:
Cosine and Sine Transforms, Including the Discrete Cosine Transform:
1-D Continuous Transforms
1-D Discrete Cosine and Sine Transforms
2-D Discrete Cosine Transform
Walsh–Hadamard Transform:
Walsh Transform
Walsh–Hadamard Transform
Hartley Transform
Image Compression Properties of Fourier, DCT, Walsh and Hartley Transforms
Laplace, Mellin and Fourier Mellin:
Laplace and Mellin Transforms
Fourier–Mellin Transform
Z-Transform
Wavelets:
Filter Banks and Signal Analysis
Gabor Wavelets
Summary
Applications of the Fourier Transform:
Overview
Fourier Transforms:
The Continuous Fourier Transform and Fourier Optics
Magnitude and Phase, and Beamforming
Properties of the Fourier Transform:
Superposition and Fingerprint Analysis
Invariance and Image Texture Analysis
Invariance and Image Registration
Differentiation and Image Feature Extraction
Processing Signals Using the Fourier Transform:
Convolution Theorem and Ear Biometrics
Deconvolution and Image Enhancement
Speech Recognition and Correlation
The Importance of Phase and Phase Congruency
Filtering and Denoising, and Image Enhancement
Variants of the Fourier Transform, and Coding
Summary
Who and What was Fourier?:
Nature and Origins of the Fourier Transform:
The Basic Nature and Definitions of the Fourier Transform
On the Development of the Fourier Transform
Baron Jean Baptiste Joseph Fourier
Final Summary
Ready Reference Time:
Summary of Fourier Transforms and Their Variants
Summary of Properties of the Continuous Fourier Transform
Continuous Fourier Transform Pairs
Summary of Properties of the Discrete Fourier Transform
Discrete Fourier Transform Pairs
References
Index
Readership: Aimed at undergraduates with a mathematical background who cover Fourier as part of their undergraduate curriculum. The target curricula include courses on signal processing, communications, speech analysis and understanding, image processing, and computer vision. The book is also aimed at people who are interested in furthering their knowledge on Fourier, for whom maths might be less practiced.
原價:
1757
售價:
1669
現省:
88元
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PARTIAL DIFFERENTIAL EQUATIONS WITH FOURIER SERIES & BOUNDARY VALUE PROBLEMS (3版)
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PARTIAL DIFFERENTIAL EQUATIONS WITH FOURIER SERIES AND BOUNDARY VALUE PROBLEMS 3E 2016 (P)
ISBN: 9780486807379
類別: 數學Mathematics
出版社: DOVER PUBLICATIONS, INC.
作者: ASMAR
年份: 2016
裝訂別: 平裝
頁數: 816頁
This text provides an introduction to partial differential equations and boundary value problems, including Fourier series. The treatment offers students a smooth transition from a course in elementary ordinary differential equations to more advanced topics in a first course in partial differential equations. This widely adopted and successful book also serves as a valuable reference for engineers and other professionals. The approach emphasizes applications, with particular stress on physics and engineering applications. Rich in proofs and examples, the treatment features many exercises in each section.
Relevant Mathematica files are available for download from author Nakhle Asmar's website; however, the book is completely usable without computer access. The Students' Solutions Manual can be downloaded for free from the Dover website, and the book includes information on how instructors may request the Instructor Solutions Manual.
The text is suitable for undergraduates in mathematics, physics, engineering, and other fields who have completed a course in ordinary differential equations.
Reprint of the Pearson/Prentice-Hall, Inc., Upper Saddle River, New Jersey, 2005 edition, with minor revisions.
A Student Solutions Manual to accompany this text is available for free download. Click here to download PDF version now. The book includes information on how instructors may request a copy of the Instructor Solutions Manual.
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電子書 Discrete Fourier Analysis and Wavelets: Applications to Signal and Image Processing, 2nd Edition Broughton 9781119258223 20
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