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Operating Systems Linux Disk is predictive failure but LED is showing green. Post 302693333 by Naveen.6025 on Wednesday 29th of August 2012 04:44:53 AM
Old 08-29-2012
Disk is predictive failure but LED is showing green.

Hi Linux Team

we use hpacucli ctrl all show config command find out the failure disk. Here command output is showing predictive failure but The Datacenter team are unable to find the correct failure disk. From Datacenter all LEDs are showing green.

Datacenter asks us to blink the LED.

How to blink the LED? what is the command to use.

Last edited by Naveen.6025; 08-29-2012 at 06:39 AM.. Reason: Linux OS
 

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mlib_SignalLPCAutoCorrel_F32(3MLIB)			    mediaLib Library Functions			       mlib_SignalLPCAutoCorrel_F32(3MLIB)

NAME
mlib_SignalLPCAutoCorrel_F32 - perform linear predictive coding with autocorrelation method SYNOPSIS
cc [ flag... ] file... -lmlib [ library... ] #include <mlib.h> mlib_status mlib_SignalLPCAutoCorrel_F32(mlib_f32 *coeff, const mlib_f32 *signal, void *state); DESCRIPTION
The mlib_SignalLPCAutoCorrel_F32() function performs linear predictive coding with autocorrelation method. 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: coeff The linear prediction coefficients. signal The input signal vector. 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 |Committed | +-----------------------------+-----------------------------+ |MT-Level |MT-Safe | +-----------------------------+-----------------------------+ SEE ALSO
mlib_SignalLPCAutoCorrelInit_F32(3MLIB), mlib_SignalLPCAutoCorrelGetEnergy_F32(3MLIB), mlib_SignalLPCAutoCorrelGetPARCOR_F32(3MLIB), mlib_SignalLPCAutoCorrelFree_F32(3MLIB), attributes(5) SunOS 5.11 2 Mar 2007 mlib_SignalLPCAutoCorrel_F32(3MLIB)
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