Abstract: Systems and methods for detecting and/or identifying signals that employ streaming processing to generate time-frequency surfaces by sampling a datastream according to a temporal structure that may be chosen as needed. The sampled datastream may be correlated with a set of templates that span the band of interest in a continuous manner, and used to generate time-frequency surfaces from irregularly sampled data with arbitrary structure that has been sampled with non-constant and non-Nyquist sampling rates where such non-constant rates are needed or desired.

Abstract: A system for characterizing a compressed sensing apparatus is described which broadly includes a random vector generator for generating an input vector, a waveform generator in communication with the random vector generator for converting the input vector into an analog signal, a compressed sensing apparatus in communication with the digital-to-analog converter for determining a digital bit stream from the analog signal, a serial-to-parallel converter for converting the digital bit stream into an input vector; and an electronic processor in communication with the random number generator and the serial-to-parallel converter configured for determining a compressed sensing matrix.

Abstract: A system for characterizing a compressed sensing apparatus is described which broadly includes a random vector generator for generating an input vector, a waveform generator in communication with the random vector generator for converting the input vector into an analog signal, a compressed sensing apparatus in communication with the digital-to-analog converter for determining a digital bit stream from the analog signal, a serial-to-parallel converter for converting the digital bit stream into an input vector; and an electronic processor in communication with the random number generator and the serial-to-parallel converter configured for determining a compressed sensing matrix.

Abstract: Systems and methods for detecting and/or identifying signals that employ streaming processing to generate time-frequency surfaces by sampling a datastream according to a temporal structure that may be chosen as needed. The sampled datastream may be correlated with a set of templates that span the band of interest in a continuous manner, and used to generate time-frequency surfaces from irregularly sampled data with arbitrary structure that has been sampled with non-constant and non-Nyquist sampling rates where such non-constant rates are needed or desired.