Wavelet Transform n Fourier Transform n n Gives only frequency component No time information n We don’t know where the frequency change during the time Good for stationary signal (no sudden change in frequency) Wavelet Transform n Gives both frequency component + time n We know where the frequency change in time
Fourier Transform Weakness
Introduction to Wavelet Transform (1) n Objectives n Gives information about n n Allow us to detect features that might go underdetected at one resolution but may be easy to spot at another Basis function n Short-period wave (wavelet) n n n what frequencies contain in the signal (frequency component) Where the frequency change in time (time information) Mother wavelet Scale and Translation wavelet Example of Wavelet Application n Music example n Extract the frequency of notes and when to play that note
Time-Frequency Division
Introduction to Wavelet Transform (2) n Wavelet Transform n is similar to Fourier Transform n Wavelet Transform
Introduction to Wavelet Transform (3) n Example of Wavelet Basis Function n Mother wavelet n Scale & Translated wavelet
Introduction to Wavelet Transform (4) n Ex. Haar Wavelet n Mother wavelet n Scaled and Translated Wavelet
Forward Wavelet Transform Scaling function (Approximation function) Wavelet function (Detail function)
DWT Example f (x) = [1 2 3 4] Scaling function j 0 = 0
DWT Example j = j 0 = 0; Wavelet function k=0
DWT Example Wavelet function j = 1; k=0 j = 1; k=1
Wavelet Coefficients Scaling function Wavelet function
Inverse DWT Scaling function
Inverse DWT Wavelet function
Generation of New Mother wavelet from simple rectangular pulse n Using two-scale relation n Mother wavelet n New Mother Wavelet
Wavelet (Proof for fast wavelet) Mother wavelet Wavelet