Adaptive threshold algorithm for real-time wavelet de-noising applications

A method for processing a received communication signal with minimal loss due to noise comprising the steps of:

• correlating a received signal to a wavelet function and producing wavelet decomposition coefficients;
• determining a type of the received signal;
• applying predetermined threshold values based on the type of received signal;
• and
• altering the wavelet coefficients using the applied predetermined threshold values to produce altered wavelet coefficients from which the received signal is reconstructed with reduced noise.

A de-noising circuit of a receiver for extracting information from a received signal with minimal loss due to noise, comprising:

• a transformer for correlating the received signal to a wavelet function and producing wavelet decomposition coefficients;
• a threshold circuit, responsive to the received signal, for applying predetermined threshold values based on the type of signal;
• and
• a filter coupled to the transformer and the threshold circuit, for altering the wavelet decomposition coefficients produced by the transformer using threshold values applied by the threshold circuit to produce altered wavelet coefficients from which the received signal is reconstructed with reduced noise.