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NEWS
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NEWS
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--------------------------------------------------------------------------------
Alpha 0.7: (12/04/03)
+ Experiments can be run by using the ./deltastream -x command. The experimenter
uses a separate parameter file which can be generated with
./deltastream -d expparam.txt -x 1
Instructions on using the experimenter can be found in the usage
instructions.
+ Gaussian estimator now automatically normalises function estimates (if
requested)
+ Generation of multiple stream pairs from a single function is possible, as
well as generating multiple streams from multiple functions on the same call.
+ Launcher is now run using ./deltastream rather than ./launcher
+ Usage guide available in README.md
--------------------------------------------------------------------------------
Alpha 0.6: (19/02/13)
+ Estimating the delay between two streams is now possible. Two methods are
available; area and pmf. The area computation works by calculating the
area between the curves of two functions and picking the time delay
which minimises this area. The pmf method uses the sum of probability
mass functions at points on the function estimates of both streams compared
to the bin counts for the relevant interval. The delay chosen is the one which
maximises the sum. The use of a hierarchical method which does two passes over
the data, initially with a coarse pass, and following with a finer pass over
a smaller part of the data based on the initial estimate.
+ Data output improved - files now have names which should indicate the data
that they contain more clearly. The -t switch can be used to output data to
various levels of granularity. Running launcher -h gives more information about
what sort of data each subsystem produces.
--------------------------------------------------------------------------------
Alpha 0.5: (04/02/13)
+ Random functions can be generated. These functions are constructed by summing
sets of weighted gaussians. Use
`launcher -g params.txt -r`
to generate a random function in its raw form, or
`launcher -g params.txt -r -t 2`
to output the sum of the gaussians in the interval, and the value of each gaussian
used to construct the function.
+ Event streams can be generated from these random functions with
`launcher -g params.txt -f rand`
To use this it is necessary to first generate gaussians in their raw form using
`launcher -g params.txt -r`
+ A basic kernel density estimator is avaliable. Use
`launcher -e params.txt -a gauss`
for an estimate. The normalisation on estimates is not correctly applied in this
build.
+ The parameter file now has additional parameters to configure the generation of
gaussians. Generate a default file with
`launcher -d params.txt`
+ The GMP library is no longer used. The functionality that required it is now
provided by the GNU Scientific Library (GSL)
--------------------------------------------------------------------------------
Alpha 0.4.1: (27/01/13)
+ Hotfix for missing header file
--------------------------------------------------------------------------------
Alpha 0.4: (27/01/13)
+ Multiple function estimates can be combined to make a single estimate. Try
running
`launcher -g params.txt -n 2`
`launcher -e params.txt -a base -l -n 2 -o multitest.txt`
and plotting the output.
+ Parameter files can be automatically generated using `launcher -d filename`
--------------------------------------------------------------------------------
Alpha 0.3: (11/01/13)
+ Moved project to autotools for extra portability and easier compilation.
+ Launcher can be used to run generator and estimators. Try src/launcher -h
for more information.
+ Basic baseline estimator added.
--------------------------------------------------------------------------------
Alpha 0.2: (29/11/12)
+ Piecewise estimator added to usable estimators.
--------------------------------------------------------------------------------
Alpha 0.1: (04/11/12)
+ First release.