Calculates log of output probability of a dataframe for all states of a DD, an SC or a CD HMM.  
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Calculates log of output probability of a dataframe for all states of a DD, an SC or a CD HMM. 
- Author
 - Jacques Duchateau 
 
- Date
 - 3/94 
 
- Revision History:
 
-  3/94 - JD
 
- written for HMM V5.0 (ANSI-C), extracted from vit_align (V4.2). 
 
-  5/94 - JD
 
- adapted for 'top_n' gaussian evaluation 
 
-  8/94 - JD
 
- adapted for selection of gaussians per state; static allocations changed to dynamic ones (pvec, index) 
 
-  9/94 - JD
 
- flooring of output probabilities in SC_HMM case changed: 'logminout' is now relative to the probability of the best gaussian, instead of an absolute flooring constant. 
 
-  8/95 - KD
 
- flooring on the gaussian probs. instead of on the output probs. 
 
-  8/95 - JD
 
- changes for multiple codebooks in continuous cases; changes for new hmm structures. 
 
- 10/95 - JD
 
- added possibility to select which states to evaluate. 
 
-  7/97 - JD
 
- rewritten for extended hmm structures.