Абстрактный

A New Method in Classification using Stationary Transformed Wavelet Features and Moments

Arash Kalami

In order to study the feasibility of utilizing wavelet features for signal feature extraction and generation, we perform Method in Classification using Stationary Transformed Wavelet Features and Moments. A signal feature extraction and generation experiment by sequential employment of the wavelet feature based signal on each frame of a video Signal detector based on wavelet feature has problem to treat large Image classification variations. On the successful transformed features case, a rectangle shows the found signal region