Manual Pages for UNIX Operating System command usage for man mlib_SignalLPC2Cepstral_S16_Adp

mediaLib Library Functions
                           mlib_SignalLPC2Cepstral_S16_Adp(3MLIB)



NAME
     mlib_SignalLPC2Cepstral_S16_Adp - convert linear  prediction
     coefficients to cepstral coefficients

SYNOPSIS
     cc [ flag... ] file... -lmlib [ library... ]
     #include 

     mlib_status mlib_SignalLPC2Cepstral_S16_Adp(mlib_s16 *cepst,
          mlib_s32 *cscale, const mlib_s16 *lpc, mlib_s32 lscale,
          mlib_s16 gain, mlib_s32 gscale, mlib_s32 length,
          mlib_s32 order);


DESCRIPTION
     The  mlib_SignalLPC2Cepstral_S16_Adp()   function   converts
     linear prediction coefficients to cepstral coefficients. The
     scaling factor of the output data, cscale,  will  be  calcu-
     lated based on the actual data.


     The  cepstral  coefficients  are  the  coefficients  of  the
     Fourier  transform representation of the log magnitude spec-
     trum.


     The LPC cepstral coefficients  can  be  derived  recursively
     from the LPC coefficients as following.

       c(0) = log(G)

                     m-1  k
       c(m) = a(m) + SUM --- * c(k) * a(m-k), 1 < m < M
                     k=1  m

              m-1  k
       c(m) = SUM --- * c(k) * a(m-k), m > M
              k=1  m



     See Fundamentals of Speech Recognition by  Lawrence  Rabiner
     and Biing-Hwang Juang, Prentice Hall, 1993.

PARAMETERS
     The function takes the following arguments:

     cepst     The cepstral coefficients.






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mediaLib Library Functions
                           mlib_SignalLPC2Cepstral_S16_Adp(3MLIB)



     cscale    The scaling factor of the  cepstral  coefficients,
               where    actual_data   =   output_data   *   2**(-
               scaling_factor).


     lpc       The linear prediction coefficients.


     lscale    The scaling factor of the linear prediction  coef-
               ficients,  where  actual_data = input_data * 2**(-
               scaling_factor).


     gain      The gain of the LPC model.


     gscale    The scaling factor of the gain of the  LPC  model,
               where    actual_data    =   input_data   *   2**(-
               scaling_factor).


     length    The length of the cepstral coefficients.


     order     The order of the linear prediction filter.


RETURN VALUES
     The function returns MLIB_SUCCESS if  successful.  Otherwise
     it returns MLIB_FAILURE.

ATTRIBUTES
     See attributes(5) for descriptions of the  following  attri-
     butes:



     ____________________________________________________________
    |       ATTRIBUTE TYPE        |       ATTRIBUTE VALUE       |
    |_____________________________|_____________________________|
    | Interface Stability         | Committed                   |
    |_____________________________|_____________________________|
    | MT-Level                    | MT-Safe                     |
    |_____________________________|_____________________________|


SEE ALSO
     mlib_SignalLPC2Cepstral_S16(3MLIB),
     mlib_SignalLPC2Cepstral_S16_Adp(3MLIB),
     mlib_SignalLPC2Cepstral_F32(3MLIB), attributes(5)




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mediaLib Library Functions
                           mlib_SignalLPC2Cepstral_S16_Adp(3MLIB)






















































SunOS 5.11           Last change: 2 Mar 2007                    3