JeanPaul Badjo

Participant: PROMISE AGEP Research Symposium

 

JeanPaul Badjo

Department: Electrical Engineering

Institution: University of Maryland Baltimore County (UMBC)

 

ABSTRACT

Title

 

Autocorrelation is the correlation of a signal (beam of lights) with a likeness between observed functions in the form of time lag between the split laser beams. It is mathematical method for finding repeating patterns, like the existence a periodicity in a signal concealed by noise, or identifying the missing frequencies in a signal through its harmonic frequencies. It is used in signal processing for analyzing functions or series of values.

• Autocorrelation analysis is used in fluorescence correlation spectroscopy.
• Autocorrelation is the measurement of optical spectra and the measurement of short- 
duration light pulses (micrometer) produced by lasers.
• Autocorrelation is used to analyze dynamic light scattering data
• Autocorrelation of a signal can be analyzed in terms of the diffusion of the particles. Because 
of this we can determine viscosity of fluids and calculate particle sizes.
• In signal processing, autocorrelation can give information about repeating events like tempo 
or pulsar frequencies.

 

BIOGRAPHICAL SKETCH

 

 

GENERAL SUMMARY OF GRADUATE RESEARCH

 

 

SELECTED LIST OF PRESENTATIONS AND PUBLICATIONS