Ex parte TATTERSALL - Page 2




           Appeal No. 1998-1903                                                                    
           Application No. 08/353,258                                                              


           redundant with a normalized Hamming distance to normalized                              
           input signal value distance relationship with a mean slope                              
           greater than 1 for input signal value distances up to at least                          
           10% of the maximum input signal value distance or has a higher                          
           monotonicity than a binary code and has a number of bits                                
           between that required for the binary code and that required                             
           for a bar code.  Claims 12 and 13 are illustrative of the                               
           claimed invention, and they read as follows:                                            
                 12. A method of training a pattern recognition device                             
           which is arranged to receive a set of digital input signal                              
           values representing a pattern of physical occurrences                                   
           distributed over time or space to be recognized comprising the                          
           steps of:                                                                               
                 encoding said digital input signal values into coded                              
           input signal values to form a digital signal representation of                          
           said pattern using a redundant code which has a normalized                              
           Hamming distance to normalized input signal value distance                              
           relationship with a mean slope greater than 1 for input signal                          
           value distances up to a predetermined level of at least 10% of                          
           the maximum input signal value distance; and                                            
                 using the coded input signal values to recognize the                              
           pattern of physical occurrences.                                                        
                 13. A method of training a pattern recognition device                             
           which is arranged to receive a set of digital input signal                              
           values representing a pattern of physical occurrences                                   
           distributed over time or space to be recognized comprising the                          
           steps of:                                                                               
                 encoding said digital input signal values using a code                            
           employing a number of bits which is:                                                    
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