Unitary similarity transformations furnish a simple yet powerful vehicle for generating new classes of joint distributions based on concepts diierent from time, frequency, and scale. These new signal representations focus on the critical characteristics of large classes of signals and, hence, prove useful for representing and processing signals that are not well matched by current techniques. I...