Statistics and Signal Theory

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Here are two examples of my work.  The information has been edited to protect proprietary information.
 
Bubble Statistics and Signal Processing
 
        Bubble Signal Processing
Fitting Three Term Gamma Curves to Sparse Data
 
        Gamma Curve Fitting and Parameter Estimation

Comments Regarding my Signal Theory and Statistical Design and Analysis Work:

From time to time the need for signal theory and statistical analysis has come up in my consultant engineer work. Therefore, I have purchased and read many statistical and signal theory textbooks.  This study and information has served me well, for I am now well versed in these methods.
 
In graduate school, my studies emphasized network and signal theory.  A research assistantship job I had was designing important parts the signal processing electronics for the worlds first Duplex Doppler ultrasound scanning system.
 
Since then I have designed the signal processing paths for complex systems and the circuits that enable the desired system performance.
 
Recently I had need to use statistical methods to determine probability distribution curves from data wherein apriori knowledge of the underlying sample distribution from which the data was produced, could reasonably be assumed.  Underlying this task was the need to convert various forms of summary data (mean, variance and quartiles) into a detailed and uniform data set (percentiles).  This was a tricky bit of statistical analysis that I worked out using MathCAD as my tool for numerical integration of the cumulative probability distribution curves, over the percentile regions of interest.

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