Power and cooling are tough problems. Learn how Thermal Logic turns high-density into a power and cooling, "energy-thrifty" advantage to save customers watts every second.
Hi All
I have to be careful how I word this as the last time I mentioned it everyone assumed I am a recruiter and I got some flack for it. So let me start by assuring you that I am not one, and this is not a commercial post in any way.
I'm posting this to see if I can interest anyone in... (2 Replies)
Hi all, I have the following in hacmp.out for bringing Resource group online.
Volume groups themselves are Enhanced-Capable and on each node I can varyon and mount filesystems.
+main1_rg_01:cl_activate_vgs STATUS=0
+main1_rg_01:cl_activate_vgs typeset -li STATUS
+main1_rg_01:cl_activate_vgs... (2 Replies)
Hello,
I have a quick question regarding POWER HA ( HACMP ) 5.5 ;
I have four ethernet adapters
en0
en1
en2
en3
en0 is configured as BOOT_IP with IP address
all other ethernet adapters are empty en1 / en2 / en3
so when I configure the service IP and start HACMP , the service IP... (2 Replies)
mlib_SignalLPCAutoCorrelGetEnergy_F32(3MLIB) mediaLib Library Functions mlib_SignalLPCAutoCorrelGetEnergy_F32(3MLIB)NAME
mlib_SignalLPCAutoCorrelGetEnergy_F32 - return the energy of the input signal
SYNOPSIS
cc [ flag... ] file... -lmlib [ library... ]
#include <mlib.h>
mlib_status mlib_SignalLPCAutoCorrelGetEnergy_F32(mlib_f32 *engery, void *state);
DESCRIPTION
The mlib_SignalLPCAutoCorrelGetEnergy_F32() function returns the energy of the input signal.
In linear predictive coding (LPC) model, each speech sample is represented as a linear combination of the past M samples.
M
s(n) = SUM a(i) * s(n-i) + G * u(n)
i=1
where s(*) is the speech signal, u(*) is the excitation signal, and G is the gain constants, M is the order of the linear prediction fil-
ter. Given s(*), the goal is to find a set of coefficient a(*) that minimizes the prediction error e(*).
M
e(n) = s(n) - SUM a(i) * s(n-i)
i=1
In autocorrelation method, the coefficients can be obtained by solving following set of linear equations.
M
SUM a(i) * r(|i-k|) = r(k), k=1,...,M
i=1
where
N-k-1
r(k) = SUM s(j) * s(j+k)
j=0
are the autocorrelation coefficients of s(*), N is the length of the input speech vector. r(0) is the energy of the speech signal.
Note that the autocorrelation matrix R is a Toeplitz matrix (symmetric with all diagonal elements equal), and the equations can be solved
efficiently with Levinson-Durbin algorithm.
See Fundamentals of Speech Recognition by Lawrence Rabiner and Biing-Hwang Juang, Prentice Hall, 1993.
PARAMETERS
The function takes the following arguments:
energy The energy of the input signal.
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_SignalLPCAutoCorrelInit_F32(3MLIB), mlib_SignalLPCAutoCorrel_F32(3MLIB), mlib_SignalLPCAutoCorrelGetPARCOR_F32(3MLIB), mlib_SignalLP-
CAutoCorrelFree_F32(3MLIB), attributes(5)SunOS 5.10 10 Nov 2004 mlib_SignalLPCAutoCorrelGetEnergy_F32(3MLIB)