# Math 77A: Signal Processing

Imagine you have an audio recording of the noise at a
cocktail party and you would like to extract the sound of a particular
speaker. This so called "cocktail party problem" or Blind Source
Separtion (BSS) is a difficult computational applied math problem of
current research interest.

In this course, you will learn some of the mathematical and computational tools necessary to begin tackling the BSS problem. Students will learn the basics of signal processing theory related to sampling, amplitude, frequency, noise, blurring, mixing, filter banks, and signal decomposition. They will combine mathematical tools from linear algebra, probability and statistics and numerical tools to begin to study the current BSS theory and methods.

In this course, you will learn some of the mathematical and computational tools necessary to begin tackling the BSS problem. Students will learn the basics of signal processing theory related to sampling, amplitude, frequency, noise, blurring, mixing, filter banks, and signal decomposition. They will combine mathematical tools from linear algebra, probability and statistics and numerical tools to begin to study the current BSS theory and methods.