noise realization, statistical properties of noise, plot different realizations of noise and properties there-of (moments, rms)
properties of simple signal without noise, plot different sample systems, i.e.
work with different files, store these in SCM
adding signal + noise, plot various realizations
learn to use prober, our small black box program computing a scalar result based upon input time series and parameter point
start to learn how prober results vary w.r.t. varying input parameters of injected signal while probing the same parameter point
plot/document result findings, e.g. how large may the mismatch between injection and probe parameter may become, what about weak signals?
develop strategy to find signal with prober if signal parameters are unknown
with this strategy perform multiple injections to arrive at mismatch graphs (with and without signals) and ROC curve to evaluate template bank properties
repeat with coarser and finer template bank
plot
plot always means a graphical output with proper labels, title
requirements
The student should have at least basic knowledge of
C programming language
scripting language (Python is particularly useful)