Graduate Research
Adil Maidanov
Title: "Data Analysis of Time Domain Signals"
Mentor: Dr. Malik Rakhmanov
Digital Signal Processing (DSP) combines a variety of methods which are used for analysis of time-domain signals by sampling them on the computer. These methods have a wide range of applications including telecom, audio and video technologies. Among many different types of signals are short duration or burst signals. Due to their limited duration and strong frequency burst content the analysis of such signals requires specialized methods. The goal of this project is to analyze burst signals in time domain, frequency domain, and time-frequency space. In this project, we are dealing with real signals which have been recorded and are stored on a computer. For example, they can be time-domain signatures of binary black-hole coalescence, recently detected by LIGO, or they can be audio signals produced by musical instruments. We will seek patterns and regularity in such signals. Among the methods we use is Fourier analysis which includes periodograms and spectrograms.