Spectral Signal Analysis Lecture
Digital signals are ubiquitous and have many applications in several disciplines:
-Digital Media, Social Media (music, voice signals),
-Biomedical Signal Analysis and Diagnosis,
-Bioinformatics
-Autonomous cars, drones, marine vessels, robots
-Big Data Analytics,
-Internet and Communications (music broadcasting, streaming).
-Scientific signal acquisition of any sort, e.g., Environment Sensing, Geophysical Prospecting.
This lecture overviews Spectral Signal Analysis that has many applications in periodicity estimation and acoustic/speech/music/biomedical signa analysis. It covers the following topics in detail: Power Spectrum, autocorrelation function and Fourier Transform. Power Spectrum and random signals. Bartlett Method, Welch Method Blackman – Tukey Method for Power Spectrum estimation.