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Adds some references, bumps version number

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This commit is contained in:
Jean-Marc Valin 2012-04-24 00:57:04 -04:00
parent e4689464eb
commit 390c89225d
3 changed files with 22 additions and 6 deletions
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2
Makefile.draft
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@ -20,7 +20,7 @@ CFLAGS := -Drestrict= $(CFLAGS)
###################### END OF OPTIONS ######################
CFLAGS += -DOPUS_VERSION='"0.9.9"'
CFLAGS += -DOPUS_VERSION='"0.9.10"'
include silk_sources.mk
include celt_sources.mk
include opus_sources.mk

2
configure.ac
View file

@ -9,7 +9,7 @@ m4_ifdef([AM_SILENT_RULES], [AM_SILENT_RULES([yes])])
OPUS_MAJOR_VERSION=0
OPUS_MINOR_VERSION=9
OPUS_MICRO_VERSION=9
OPUS_MICRO_VERSION=10
OPUS_EXTRA_VERSION=
OPUS_VERSION="$OPUS_MAJOR_VERSION.$OPUS_MINOR_VERSION.$OPUS_MICRO_VERSION$OPUS_EXTRA_VERSION"

24
doc/draft-ietf-codec-opus.xml
View file

@ -2,7 +2,7 @@
<!DOCTYPE rfc SYSTEM 'rfc2629.dtd'>
<?rfc toc="yes" symrefs="yes" ?>
<rfc ipr="trust200902" category="std" docName="draft-ietf-codec-opus-11">
<rfc ipr="trust200902" category="std" docName="draft-ietf-codec-opus-12">
<front>
<title abbrev="Interactive Audio Codec">Definition of the Opus Audio Codec</title>
@ -53,7 +53,7 @@
</address>
</author>
<date day="17" month="February" year="2012" />
<date day="24" month="April" year="2012" />
<area>General</area>
@ -6771,7 +6771,7 @@ The processing for voiced and unvoiced speech is described in
<xref target='ltp_quantizer_overview_section'/>, and the quantized LTP
coefficients are used to compute the LTP residual signal.
This LTP residual signal is the input to an LPC analysis where the LPCs are
estimated using Burg's method, such that the residual energy is minimized.
estimated using Burg's method <xref target="Burg"/>, such that the residual energy is minimized.
The estimated LPCs are converted to a Line Spectral Frequency (LSF) vector
and quantized as described in <xref target='lsf_quantizer_overview_section'/>.
After quantization, the quantized LSF vector is converted back to LPC
@ -6811,7 +6811,7 @@ faster than the autocovariance method.
The implementation of Burg's method differs from traditional
implementations in two aspects.
The first difference is that it
operates on autocorrelations, similar to the Schur algorithm, but
operates on autocorrelations, similar to the Schur algorithm <xref target="Schur"/>, but
with a simple update to the autocorrelations after finding each
reflection coefficient to make the result identical to Burg's method.
This brings down the complexity of Burg's method to near that of
@ -7709,6 +7709,22 @@ Robust and Efficient Quantization of Speech LSP Parameters Using Structured Vect
</front>
</reference>
<reference anchor="Burg">
<front>
<title>Maximum Entropy Spectral Analysis</title>
<author initials="JP." surname="Burg" fullname="J.P. Burg"><organization/></author>
</front>
</reference>
<reference anchor="Schur">
<front>
<title>A fixed point computation of partial correlation coefficients</title>
<author initials="J." surname="Le Roux" fullname="J. Le Roux"><organization/></author>
<author initials="C." surname="Gueguen" fullname="C. Gueguen"><organization/></author>
</front>
<seriesInfo name="ICASSP-1977, Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing, pp. 257-259, October" value="1977"/>
</reference>
</references>
<section anchor="ref-implementation" title="Reference Implementation">