Window Fourier and wavelet transforms. Properties and applications of the wavelets. A.S. Yakovlev
Contents 1. Fourier Transform 2. Introduction To Wavelets 3. Wavelet Transform 4. Types Of Wavelets 5. Applications
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 Examples of window functions Hat function Gauss function Gabor function
Window Fourier Transform Examples of window functions Gabor function
Fourier Transform
Window Fourier Transform
Window Fourier Transform Disadvantage
Multi Resolution Analysis MRA is a sequence of spaces {V j } with the following properties: If 5. If 6. Set of functions where defines basis in V j
Multi Resolution Analysis
Multi Resolution Analysis Definitions Father function basis in V Wavelet function basis in W Scaling equation Dilation equation Filter coefficients h i, g i
Continuous Wavelet Transform (CWT) Direct transform Inverse transform
Discrete Wavelet Decomposition Function f(x) Decomposition We want In orthonormal case
Discrete Wavelet Decomposition
Fast Wavelet Transform (FWT) Formalism In the same way
Fast Wavelet Transform (FWT)
Fast Wavelet Transform (FWT) Matrix notation
Fast Wavelet Transform (FWT) Note FWT is an orthogonal transform It has linear complexity
Conditions on wavelets 1. Orthogonality: 2. Zero moments of father function and wavelet function:
Conditions on wavelets 3. Compact support: Theorem: if wavelet has nonzero coefficients with only indexes from n to n+m the father function support is [n,n+m]. 4. Rational coefficients. 5. Symmetry of coefficients.
Types Of Wavelets Haar Wavelets 1. Orthogonal in L 2 2. Compact Support 3. Scaling function is symmetric Wavelet function is antisymmetric 4. Infinite support in frequency domain
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 supported father- function is the Haar basis. Proof: Orthogonality: For l=2n this is For l=2n-2 this is
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 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 Fourier transform of father function
Types Of Wavelets Shannon Wavelet 1. Orthogonal 2. Localized in frequency domain 3. Easy to calculate 4. Infinite support and slow decay
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 Daubishes Wavelets 1. Orthogonal in L 2 2. Compact support 3. Zero moments of father-function
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 father- function
Types Of Wavelets Daubechies Wavelets Note: Daubechhies D1 wavelet is Haar Wavelet
Types Of Wavelets Daubechies Wavelets Daubechhies D2 a)Father function and b)Wavelet function a) b)
Types Of Wavelets Daubechies Wavelets Daubechhies D3 a)Father function and b)Wavelet function a) b)
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 Symmlets Symmlet a)Father function and b)Wavelet function a) b)
Types Of Wavelets Coifmann Wavelets (Coiflets) 1. Orthogonal in L 2 2. Compact support 3. Zero moments of father-function 4. Zero moments of wavelet function
Types Of Wavelets Coifmann Wavelets (Coiflets) Set of equations to calculate coefficients
Types Of Wavelets Coifmann Wavelets (Coiflets) Coiflet K1 a)Father function and b)Wavelet function a) b)
Types Of Wavelets Coifmann Wavelets (Coiflets) Coiflet K2 a)Father function and b)Wavelet function a) b)
How to plot a function Using the equation
How to plot a function
Applications of the wavelets 1. Data processing 2. Data compression 3. Solution of differential equations
Digital signal Suppose we have a signal:
Digital signal Fourier method Fourier spectrum Reconstruction
Digital signal Wavelet Method 8 th Level Coefficients Reconstruction
Analog signal Suppose we have a signal:
Analog signal Fourier Method Fourier Spectrum
Analog signal Fourier Method Reconstruction
Analog signal Wavelet Method 9 th level coefficients
Analog signal Wavelet Method Reconstruction
Short living state Signal
Short living state Gabor transform
Short living state Wavelet transform
Conclusion Stationary signal – Fourier analysis Stationary signal with singularities – Window Fourier analysis Nonstationary signal – Wavelet analysis
Acknowledgements 1. Prof. Andrey Vladimirovich Tsiganov 2. Prof. Serguei Yurievich Slavyanov