im working on a project and to start first i have to choose which one of these i would use in my project:
DFT: Descret Fourier Transform
DCT: Descret Cosine Transform
Walsh transformation
Hadamard Transformation
Wavelet transform
now from what i understand wavelet is concernecd with time AND frequency but the rest only are concerned with frequency.
in my project im suppoed to work on "speech or image recognition". which do u think is better to learn and work on?
i think wavelet is the most difficult one. is it worthed to take the time and learn it or it wouldnt make much of a difference even if i choose another ones?which one of these transformations are better to work on? easiest/ hardest?
tell me whatever you think. i'd appriciate it
DFT: Descret Fourier Transform
DCT: Descret Cosine Transform
Walsh transformation
Hadamard Transformation
Wavelet transform
now from what i understand wavelet is concernecd with time AND frequency but the rest only are concerned with frequency.
in my project im suppoed to work on "speech or image recognition". which do u think is better to learn and work on?
i think wavelet is the most difficult one. is it worthed to take the time and learn it or it wouldnt make much of a difference even if i choose another ones?which one of these transformations are better to work on? easiest/ hardest?
tell me whatever you think. i'd appriciate it