Course Title:
Digital Filter Banks and Wavelets
Course Description:
Develops the theory and applications of perfect reconstruction digital filter banks (PR filter banks) and continuous-time wavelet and wave-packet representations. The mathematical structure of the two disciplines are shown to be intimately related and the theory of both is developed from a signal processing and an abstract mathematical viewpoint. Examines applications that include signal processing and digital communications. Emphasis is on the multiresolution analysis (MRA) of discrete and continuous-time signals and to applications that make use of this paradigm.
Fall Offering:
Lab/Coreq 1:
Spring Offering:
Lab/Coreq 2:
Summer Offering:
Lab/Coreq Remarks:
Summer 1 Offering:
Prerequisite 1:
Summer 2 Offering:
Prerequisite 2:
Cross-Listed Course 1:
Prerequisite 3:
Cross-Listed Course 2:
Prerequisite 4:
Cross-Listed Course 3:
Prerequisite 5:
Cross-Listed Course 4:
Prerequisite Remarks:
Strong understanding of DSP, modern signal processing, and linear systems/vector spaces.
Cross-Listed Course 5:
Repeatable:
N
