I now using MATLAB to analysis the data with discrete wavelet transform, but I don't know how to choose the best level for decomposition and what type of wavelet to use. Have any method to determine the level and wavelet? Besides, how to choose the suitable thresholding method and noise structure?
I have a time series data, I want to use wavelet transform to de-noise the data and then use neural network to analysis the transform data. However, I quite not understand about the wavelet transform. Can tell me about how to use wavelet transform? How to determine the scale? Is it suitable use...
I got a 5x5 matrix, if use characteristic equation to find the eigenvalues and eigenvectors are very tedious and trouble, so got any method which are easy to calculate?
How to prove that if A is upper triangular and B is the matrix that results when the ith row and jth column of A are deleted, then B is upper triangular if i<j.
How to find a ||2w-v||,by giving <v,w> = -3, ||v||=2 and ||w||= 7.
Actually I find that it was undefined, I not sure its correct or not, so I need yours to help me thanks.:shy: