mlib_SignalMelCepstral_S16_Adp(3MLIB)			    mediaLib Library Functions			     mlib_SignalMelCepstral_S16_Adp(3MLIB)

NAME

       mlib_SignalMelCepstral_S16_Adp - perform cepstral analysis in mel frequency scale

SYNOPSIS

       cc [ flag... ] file... -lmlib [ library... ]
       #include <mlib.h>

       mlib_status mlib_SignalMelCepstral_S16_Adp(mlib_s16 *cepst, mlib_s32 *cscale, const mlib_s16 *signal, void *state);

DESCRIPTION

       The  mlib_SignalMelCepstral_S16_Adp()  function	performs  cepstral analysis in mel frequency scale.  The scaling factor of the output data
       will be calculated based on the actual data.

       The first two steps of mel scale cepstral analysis is the same as in general cepstral anaysis. After the logarithm of the  spectrum  magni-
       tude is obtained, it is converted into mel frequency scale before the inverse Fourier transform.

		  +-----------+        +-----------+
		  |  Linear   |        |  Inverse  |
       ... ------>|    to     |------->|  Fourier  |----->
	    X'(k) | Mel Scale | X''(m) | Transform | c(n)
		  +-----------+        +-----------+

       where X'(k) is defined in linear frequency scale and X''(m) is defined in mel frequency scale.

       The mel frequency scale is defined as following.

       freq_mel = melmul * LOG10(1 + freq_linear / meldiv)

       where freq_mel is the frequency in mel scale, freq_linear is the frequency in linear scale, melmul is the multiplying factor, muldiv is the
       dividing factor.

       Optionally, a bank of band pass filters in linear frequency scale can be used below the bank of band pass filters in mel  frequency  scale,
       as shown below in linear frequency scale.

       0   f1  f2  f3	 fp  fp+1 fp+2	fp+3  fp+q
       |---|---|---| ... |---|----|-----| ... | ... -> freq

       where  fp  = melbgn, fp+q = melend, p = nlinear, q = nmel; the filters number 1 to p are defined in linear frequency scale which have equal
       bandwidth in linear frequency scale; the filters number p+1 to p+q are defined in mel frequency scale which have  equal	bandwidth  in  mel
       frequency scale and increasing bandwidth in linear frequency scale.

       See Digital Signal Processing by Alan V. Oppenheim and Ronald W. Schafer, Prentice Hall, 1974.

       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.

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

       signal	       The input signal vector, the signal samples are in Q15 format.

       state	       Pointer to the internal state structure.

RETURN VALUES

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

ATTRIBUTES

       See attributes(5) for descriptions of the following attributes:

       +-----------------------------+-----------------------------+
       |      ATTRIBUTE TYPE	     |	    ATTRIBUTE VALUE	   |
       +-----------------------------+-----------------------------+
       |Interface Stability	     |Evolving			   |
       +-----------------------------+-----------------------------+
       |MT-Level		     |MT-Safe			   |
       +-----------------------------+-----------------------------+

SEE ALSO

       mlib_SignalMelCepstralInit_S16(3MLIB), mlib_SignalMelCepstral_S16(3MLIB), mlib_SignalMelCepstralFree_S16(3MLIB), attributes(5)

SunOS 5.10							    10 Nov 2004 			     mlib_SignalMelCepstral_S16_Adp(3MLIB)