Abstract: A robust and flexible system for signal parameter measurements in the field of signal processing dynamically uses signal parameters from previous signal detections and parametric priorities to adaptively control and process the signal in an efficient and reliable manner. The system provides for improved fine grain signal parameter measurements through the use of adaptive arbitration to control signal processing. The system improves measurement accuracy for various signal characteristics including pulse width, amplitude, frequency and timing information. The system also provides signal parameter measurements while requiring less power, size, and weight than conventional systems.

Abstract: A method and apparatus for adaptive signal compression of unknown signals uses minimal power and bandwidth to transmit data. The method provides adaptive signal compression with minimal loss and distortion by extracting only information of interest and recreating the full signal. The method uses a single resolution filter bank for channelizing a data stream for transmission. The method removes unwanted or unneeded information before transmitting the data by using fidelity and user controls and detection capabilities. The method provides significant signal compression where signals are sparse in frequency, time, or both and does not rely on a priori knowledge of the signal. After transmission, the system generates a signal using the data received as well as filling in the non-transmitted portions of the signal by manipulating the transmitted data. The system then formats the signal into the original data stream using a reconstruction filter bank.

Abstract: A robust and flexible system for signal parameter measurements in the field of signal processing dynamically uses signal parameters from previous signal detections and parametric priorities to adaptively control and process the signal in an efficient and reliable manner. The system provides for improved fine grain signal parameter measurements through the use of adaptive arbitration to control signal processing. The system improves measurement accuracy for various signal characteristics including pulse width, amplitude, frequency and timing information. The system also provides signal parameter measurements while requiring less power, size, and weight than conventional systems.

Abstract: A method and apparatus for adaptive signal compression of unknown signals uses minimal power and bandwidth to transmit data. The method provides adaptive signal compression with minimal loss and distortion by extracting only information of interest and recreating the full signal. The method uses a single resolution filter bank for channelizing a data stream for transmission. The method removes unwanted or unneeded information before transmitting the data by using fidelity and user controls and detection capabilities. The method provides significant signal compression where signals are sparse in frequency, time, or both and does not rely on a priori knowledge of the signal. After transmission, the system generates a signal using the data received as well as filling in the non-transmitted portions of the signal by manipulating the transmitted data. The system then formats the signal into the original data stream using a reconstruction filter bank.