Window Fourier and wavelet transforms Properties and applications

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Window Fourier and wavelet transforms. Properties and applications of the wavelets. A. S. Yakovlev

Window Fourier and wavelet transforms. Properties and applications of the wavelets. A. S. Yakovlev

Contents 1. 2. 3. 4. 5. Fourier Transform Introduction To Wavelets Wavelet Transform Types

Contents 1. 2. 3. 4. 5. Fourier Transform Introduction To Wavelets Wavelet Transform Types Of Wavelets Applications

Window Fourier Transform Ordinary Fourier Transform Contains no information about time localization Window Fourier

Window Fourier Transform Ordinary Fourier Transform Contains no information about time localization Window Fourier Transform Where g(t) - window function In discrete form

Window Fourier Transform

Window Fourier Transform

Window Fourier Transform Examples of window functions Hat function Gauss function Gabor function

Window Fourier Transform Examples of window functions Hat function Gauss function Gabor function

Window Fourier Transform Examples of window functions Gabor function

Window Fourier Transform Examples of window functions Gabor function

Fourier Transform

Fourier Transform

Window Fourier Transform

Window Fourier Transform

Window Fourier Transform Disadvantage

Window Fourier Transform Disadvantage

Multi Resolution Analysis MRA is a sequence of spaces {Vj} with the following properties:

Multi Resolution Analysis MRA is a sequence of spaces {Vj} with the following properties: 1. 2. 3. 4. 5. 6. If If Set of functions where defines basis in Vj

Multi Resolution Analysis

Multi Resolution Analysis

Multi Resolution Analysis Definitions Father function basis in V Wavelet function basis in W

Multi Resolution Analysis Definitions Father function basis in V Wavelet function basis in W Scaling equation Dilation equation Filter coefficients hi , gi

Continuous Wavelet Transform (CWT) Direct transform Inverse transform

Continuous Wavelet Transform (CWT) Direct transform Inverse transform

Discrete Wavelet Decomposition Function f(x) Decomposition We want In orthonormal case

Discrete Wavelet Decomposition Function f(x) Decomposition We want In orthonormal case

Discrete Wavelet Decomposition

Discrete Wavelet Decomposition

Fast Wavelet Transform (FWT) Formalism In the same way

Fast Wavelet Transform (FWT) Formalism In the same way

Fast Wavelet Transform (FWT)

Fast Wavelet Transform (FWT)

Fast Wavelet Transform (FWT) Matrix notation

Fast Wavelet Transform (FWT) Matrix notation

Fast Wavelet Transform (FWT) Matrix notation

Fast Wavelet Transform (FWT) Matrix notation

Fast Wavelet Transform (FWT) Note FWT is an orthogonal transform It has linear complexity

Fast Wavelet Transform (FWT) Note FWT is an orthogonal transform It has linear complexity

Conditions on wavelets 1. 2. Orthogonality: Zero moments of father function and wavelet function:

Conditions on wavelets 1. 2. Orthogonality: Zero moments of father function and wavelet function:

Conditions on wavelets 3. 4. 5. Compact support: Theorem: if wavelet has nonzero coefficients

Conditions on wavelets 3. 4. 5. Compact support: Theorem: if wavelet has nonzero coefficients with only indexes from n to n+m the father function support is [n, n+m]. Rational coefficients. Symmetry of coefficients.

Types Of Wavelets Haar Wavelets 1. 2. 3. 4. Orthogonal in L 2 Compact

Types Of Wavelets Haar Wavelets 1. 2. 3. 4. Orthogonal in L 2 Compact Support Scaling function is symmetric Wavelet function is antisymmetric Infinite support in frequency domain

Types Of Wavelets Haar Wavelets Set of equation to calculate coefficients: First equation corresponds

Types Of Wavelets Haar Wavelets Set of equation to calculate coefficients: First equation corresponds to orthonormality in L 2, Second is required to satisfy dilation equation. Obviously the solution is

Types Of Wavelets Haar Wavelets Theorem: The only orthogonal basis with the symmetric, compactly

Types Of Wavelets Haar Wavelets Theorem: The only orthogonal basis with the symmetric, compactly supported fatherfunction is the Haar basis. Proof: Orthogonality: For l=2 n this is For l=2 n-2 this is

Types Of Wavelets Haar Wavelets And so on. The only possible sequences are: Among

Types Of Wavelets Haar Wavelets And so on. The only possible sequences are: Among these possibilities only the Haar filter leads to convergence in the solution of dilation equation. End of proof.

Types Of Wavelets Haar a)Father function and B)Wavelet function a) b)

Types Of Wavelets Haar a)Father function and B)Wavelet function a) b)

Types Of Wavelets Shannon Wavelet Father function Wavelet function

Types Of Wavelets Shannon Wavelet Father function Wavelet function

Types Of Wavelets Shannon Wavelet Fourier transform of father function

Types Of Wavelets Shannon Wavelet Fourier transform of father function

Types Of Wavelets Shannon Wavelet 1. 2. 3. 4. Orthogonal Localized in frequency domain

Types Of Wavelets Shannon Wavelet 1. 2. 3. 4. Orthogonal Localized in frequency domain Easy to calculate Infinite support and slow decay

Types Of Wavelets Shannon Wavelet Shannon a)Father function and b)Wavelet function a) b)

Types Of Wavelets Shannon Wavelet Shannon a)Father function and b)Wavelet function a) b)

Types Of Wavelets Meyer Wavelets Fourier transform of father function

Types Of Wavelets Meyer Wavelets Fourier transform of father function

Types Of Wavelets Daubishes Wavelets 1. 2. 3. Orthogonal in L 2 Compact support

Types Of Wavelets Daubishes Wavelets 1. 2. 3. Orthogonal in L 2 Compact support Zero moments of father-function

Types Of Wavelets Daubechies Wavelets First two equation correspond to orthonormality In L 2,

Types Of Wavelets Daubechies Wavelets First two equation correspond to orthonormality In L 2, Third equation to satisfy dilation equation, Fourth one – moment of the fatherfunction

Types Of Wavelets Daubechies Wavelets Note: Daubechhies D 1 wavelet is Haar Wavelet

Types Of Wavelets Daubechies Wavelets Note: Daubechhies D 1 wavelet is Haar Wavelet

Types Of Wavelets Daubechies Wavelets Daubechhies D 2 a)Father function and b)Wavelet function a)

Types Of Wavelets Daubechies Wavelets Daubechhies D 2 a)Father function and b)Wavelet function a) b)

Types Of Wavelets Daubechies Wavelets Daubechhies D 3 a)Father function and b)Wavelet function a)

Types Of Wavelets Daubechies Wavelets Daubechhies D 3 a)Father function and b)Wavelet function a) b)

Types Of Wavelets Daubechhies Symmlets (for reference only) Symmlets are not symmetric! They are

Types Of Wavelets Daubechhies Symmlets (for reference only) Symmlets are not symmetric! They are just more symmetric than ordinary Daubechhies wavelets

Types Of Wavelets Daubechies Symmlet a)Father function and b)Wavelet function a) b)

Types Of Wavelets Daubechies Symmlet a)Father function and b)Wavelet function a) b)

Types Of Wavelets Coifmann Wavelets (Coiflets) 3. Orthogonal in L 2 Compact support Zero

Types Of Wavelets Coifmann Wavelets (Coiflets) 3. Orthogonal in L 2 Compact support Zero moments of father-function 4. Zero moments of wavelet function 1. 2.

Types Of Wavelets Coifmann Wavelets (Coiflets) Set of equations to calculate coefficients

Types Of Wavelets Coifmann Wavelets (Coiflets) Set of equations to calculate coefficients

Types Of Wavelets Coifmann Wavelets (Coiflets) Coiflet K 1 a)Father function and b)Wavelet function

Types Of Wavelets Coifmann Wavelets (Coiflets) Coiflet K 1 a)Father function and b)Wavelet function a) b)

Types Of Wavelets Coifmann Wavelets (Coiflets) Coiflet K 2 a)Father function and b)Wavelet function

Types Of Wavelets Coifmann Wavelets (Coiflets) Coiflet K 2 a)Father function and b)Wavelet function a) b)

How to plot a function Using the equation

How to plot a function Using the equation

How to plot a function

How to plot a function

Applications of the wavelets 1. 2. 3. Data processing Data compression Solution of differential

Applications of the wavelets 1. 2. 3. Data processing Data compression Solution of differential equations

“Digital” signal Suppose we have a signal:

“Digital” signal Suppose we have a signal:

“Digital” signal Fourier method Fourier spectrum Reconstruction

“Digital” signal Fourier method Fourier spectrum Reconstruction

“Digital” signal Wavelet Method 8 th Level Coefficients Reconstruction

“Digital” signal Wavelet Method 8 th Level Coefficients Reconstruction

“Analog” signal Suppose we have a signal:

“Analog” signal Suppose we have a signal:

“Analog” signal Fourier Method Fourier Spectrum

“Analog” signal Fourier Method Fourier Spectrum

“Analog” signal Fourier Method Reconstruction

“Analog” signal Fourier Method Reconstruction

“Analog” signal Wavelet Method 9 th level coefficients

“Analog” signal Wavelet Method 9 th level coefficients

“Analog” signal Wavelet Method Reconstruction

“Analog” signal Wavelet Method Reconstruction

Short living state Signal

Short living state Signal

Short living state Gabor transform

Short living state Gabor transform

Short living state Wavelet transform

Short living state Wavelet transform

Conclusion Stationary signal – Fourier analysis Stationary signal with singularities – Window Fourier analysis

Conclusion Stationary signal – Fourier analysis Stationary signal with singularities – Window Fourier analysis Nonstationary signal – Wavelet analysis

Acknowledgements 1. 2. Prof. Andrey Vladimirovich Tsiganov Prof. Serguei Yurievich Slavyanov

Acknowledgements 1. 2. Prof. Andrey Vladimirovich Tsiganov Prof. Serguei Yurievich Slavyanov