Abstract: An identification system comprising a first electronic device having a first receiving part, a connection cable suited for the first electronic device, a second electronic device and an identification unit is provided. The connection cable further comprises a first connection part to connect the first receiving part and a second connection part having a first pin, a second pin and a plurality of identification pins coupled to the first pin or the second pin. The second electronic device comprises a second receiving part and an identification unit. The second receiving for connecting to the second connection part comprises a first pin receiving part for connecting the first pin, a second pin receiving part for connect the second pin and a plurality of identification pin receiving parts for connect the identification pins.

Abstract: A signal processing method and system combining smooth level wavelet pre-processing together with artificial neural networks all in the wavelet domain for signal denoising and extraction. Upon receiving a signal corrupted with noise, an n-level decomposition of the signal is performed using a discrete wavelet transform to produce a smooth component and a rough component for each decomposition level. The nth level smooth component is then inputted into a corresponding neural network pre-trained to filter out noise in that component by pattern recognition in the wavelet domain. Additional rough components, beginning at the highest level, may also be retained and inputted into corresponding neural networks pre-trained to filter out noise in those components also by pattern recognition in the wavelet domain. In any case, an inverse discrete wavelet transform is performed on the combined output from all the neural networks to recover a clean signal back in the time domain.