Free measure latency software for linux

Jdelay project is a small JACK app you can use to measure the latency of your sound card.

It uses a phase measurements on a set of tones to measure the delay from the output to the input. Accuracy is about 1/1000 of a sample.

Installation:

To install, cd to this directory and make.
Copy the binary to your preferred location.

Text::NSP::Measures::2D is a Perl module that provides basic framework for building measure of association for bigrams.

SYNOPSIS

Basic Usage
use Text::NSP::Measures::2D::MI::ll;

my $npp = 60; my $n1p = 20; my $np1 = 20; my $n11 = 10;

$ll_value = calculateStatistic( n11=>$n11,
n1p=>$n1p,
np1=>$np1,
npp=>$npp);

if( ($errorCode = getErrorCode()))
{
print STDERR $errorCode." - ".getErrorMessage()."n"";
}
else
{
print getStatisticName."value for bigram is ".$ll_value."n"";
}

This module is to be used as a foundation for building 2-dimensional measures of association. The methods in this module retrieve observed bigram frequency counts, marginal totals, and also compute expected values. They also provide error checks for these counts.

mubench is an in-depth, low-level benchmark for x86 processors. Its primary goal is to provide useful information for people who optimize assembly code and for people who write compilers. mubench project measures latency and throughput for each individual instruction (sometimes several forms of the same instruction), as well as the throughput of arbitrary instruction mixes. The results produced by mubench are typically an order of magnitude more detailed than those found in AMD or Intel manuals.
mubench results for a variety of processors are available. If you find this information useful, please run mubench on your processor and upload the results.
mubench fully supports all SIMD instruction sets for the x86, including SSSE3, SSE3, SSE2, SSE, MMX, MMX Ext, 3DNow! and 3DNow! Ext. Support for non-SIMD instructions is partial: most data move, binary arithmetic, logical, shift/rotate and bit/byte instructions are supported, but other instructions, particularly branch and function call instructions or instructions manipulating the stack, are not supported. Floating-point instructions for the x87 are not supported. mubench only uses register-to-register (or immediate) forms of the instructions; memory operands are not supported. These limitations will be gradually removed in later releases.
Running:
perl mubench.pl [options]
Options:
--(no-)accurate runs tests several times (default on)
--mhz=2500 processor speed in MHz (normally autodetected from /proc/cpuinfo, set here if that
is wrong, for example if you have SpeedStep enabled)
--(no-)64bit benchmark 64-bit (amd64, emt64, x86-64) instructions (default autodetected)
--(no-)32bit benchmark 32-bit instructions
--(no-)pairs benchmark instruction mixes (default on, very slow; use --no-pairs for a very fast benchmark
that runs in minutes)
--include=add,sub benchmark only instructions matching the given list of patterns (regular expressions ok)
--output=xml|csv|text select output format
--outfile=file.xml output file to save results to (default mubench-results- .xml if xml,
standard output otherwise)
Enhancements:
- the fast form of the benchmark is now default.
- gcc 4.x now works
- a number of non-simd instructions added, support for non-simd is much closer to complete now

Text::NSP::Measures::2D::MI is a Perl module that provides error checks for Loglieklihood, Total Mutual Information, Pointwise Mutual Information and Poisson-Stirling Measure.

SYNOPSIS

Basic Usage

use Text::NSP::Measures::2D::MI::ll;

my $npp = 60; my $n1p = 20; my $np1 = 20; my $n11 = 10;

$ll_value = calculateStatistic( n11=>$n11,
n1p=>$n1p,
np1=>$np1,
npp=>$npp);

if( ($errorCode = getErrorCode()))
{
print STDERR $errorCode." - ".getErrorMessage()."n"";
}
else
{
print getStatisticName."value for bigram is ".$ll_value."n"";
}

mod_auth_useragent allows you to forbid clients based on their User-Agent by placing a single line in your Apache httpd.conf.

Be aware that this is by no means a security measure as it is trivial to change your User-Agent in most browsers.

WordNet::SenseRelate::AllWords is a Perl module to perform Word Sense Disambiguation.

SYNOPSIS

use WordNet::SenseRelate::AllWords;
use WordNet::QueryData;
my $qd = WordNet::QueryData->new;
my $wsd = WordNet::SenseRelate::AllWords->new (wordnet => $qd,
measure => WordNet::Similarity::lesk);
my @results = $wsd->disambiguate ();

WordNet::SenseRelate::AllWords implements an algorithm for Word Sense Disambiguation that uses measures of semantic relatedness. The algorithm is an extension of an algorithm described by Pedersen, Banerjee, and Patwardhan[1]. This implementation is similar to the original SenseRelate package but disambiguates every word in the given context rather than just single word.

Text::NSP::Measures::3D::MI::ps is a Perl module that implements Poisson Stirling Measure for trigrams.

SYNOPSIS

Basic Usage

use Text::NSP::Measures::3D::MI::ps;

$ps_value = calculateStatistic( n111=>10,
n1pp=>40,
np1p=>45,
npp1=>42,
n11p=>20,
n1p1=>23,
np11=>21,
nppp=>100);

if( ($errorCode = getErrorCode()))
{
print STDERR $erroCode." - ".getErrorMessage()."n";
}
else
{
print getStatisticName."value for bigram is ".$ps_value."n";
}

The log-likelihood ratio measures the devitation between the observed data and what would be expected if < word1 >, < word2 > and < word3 > were independent. The higher the score, the less evidence there is in favor of concluding that the words are independent.

The expected values for the internal cells are calculated by taking the product of their associated marginals and dividing by the sample size, for example:

n1pp * np1p * npp1
m111= --------------------
nppp

The poisson stirling measure is a negative lograthimic approximation of the poisson-likelihood measure. It uses the stirlings firmula to approximate the factorial in poisson-likelihood measure. It is computed as follows:
Posson-Stirling = n111 * ( log(n111) - log(m111) - 1)

Methods

calculateStatistic() - This method calculates the ps value
INPUT PARAMS : $count_values .. Reference of an hash containing the count values computed by the count.pl program.

RETURN VALUES : $poissonStirling .. Poisson-Stirling value for this trigram.

getStatisticName() - Returns the name of this statistic

INPUT PARAMS : none

RETURN VALUES : $name .. Name of the measure.