Impairment-Aware Symbolic Modulation for Automatic Signal Processing

Impairment-aware Symbolic Modulation for computerized sign Processing is a singular technique utilized in sign processing. This technique makes use of symbolic modulation to simulate sign degradations caused by natural or conventional impairments. The proposed method allows the signals to be modulated in a manner that's privy to impairments. The method uses a combination of neural networks and fuzzy common sense to perceive the most suitable modulated sign representation. This technique enables in improvement of sign intelligence with the aid of expanding the sign representation space. It similarly enables one to become aware of signal components accountable for the presence or absence of impairment and to conform to sign adjustments correctly. This method gives a green way of dealing with the diffusion of signal degradations and may be used to discover and classify alerts dependably.