Ex Parte Mitra et al - Page 8



         Appeal No. 2006-1729                                                       
         Application No. 10/107,628                                                 
         OR gate placed between each input and at least an output wherein           
         each input is coupled to the outputs differently.                          

              Now, the question before us is what Ivanov would have taught          
         to one of ordinary skill in the art?  To answer this question, we          
         find the following facts:                                                  
                        At page 1394, sections 1, 2.1 and 2.2, Ivanov               
                   discloses the following:                                         
                        Space compaction other than by MISRs has so far             
                   been dominated by parity checkers, which are linear and          
                   circuit-independent compactors [4], [5].  The                    
                   popularity of parity checkers as space compactors                
                   follows from their generally fairly effective fault              
                   coverage and simplicity.  On the other hand, parity              
                   checkers are quite costly to implement in terms of area          
                   since they are usually implemented with trees of XOR             
                   gates and the cost of an XOR gate is typically among             
                   the highest for 2-input Boolean functions. A k: 1                
                   parity tree compactor requires k – 1 2-input XOR gates           
                   and thus amounts to significant area.                            
                                                                                   
                   Consider the general case of compaction where a matrix           
                   of test data D = [dij] of dimensions m x n bits is               
                   transformed into a matrix C = [cij] of dimensions p x q          
                   bits, where p < m and/or q < n.  We denote the                   
                   transformation operator Φ as a matrix operator such              
                   that C = Φ (D).  We refer to the ratio m:p as the space          
                   compaction ratio and the ratio n:q as the time                   
                   compaction ratio.                                                
                   The column index of the test data matrix D is referred           
                   to as the time dimension since it corresponds to the             
                   output bits from a single circuit node (primary or               
                   pseudo-output) resulting from the application of                 
                   different input test patterns to the CUT.  Thus, if Φ            
                   is such that C has its time dimension q < n, then time           
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