Abstract: A device and a system, based upon Deep Optical Scanning (DEOS), for the detection of certain cancers such as breast cancer and the determination of their response to therapy. DEOS is based upon the nonlinear optical interaction of incident laser generated light with tissue. The cancers may either be subsurface or on the surface. The system includes hardware and software components that form subsystems including: an Optical Electronic Subsystem, a Digitization Subsystem, a Parameter Computation Subsystem, an Archive, an Artificial Intelligence Subsystem, and a Presentation Subsystem. The device can be made portable and is non-invasive in its application to a patient. The system can be integrated into a hybrid architecture with other imaging techniques used for the detection of cancers.

Abstract: A device and a system, based upon Deep Optical Scanning (DEOS), for the detection of certain cancers such as breast cancer and the determination of their response to therapy. DEOS is based upon the nonlinear optical interaction of incident laser generated light with tissue. The cancers may either be subsurface or on the surface. The system includes hardware and software components that form subsystems including: an Optical Electronic Subsystem, a Digitization Subsystem, a Parameter Computation Subsystem, an Archive, an Artificial Intelligence Subsystem, and a Presentation Subsystem. The device can be made portable and is non-invasive in its application to a patient. The system can be integrated into a hybrid architecture with other imaging techniques used for the detection of cancers.

Abstract: A method and a corresponding device for reducing enhanced noise generated as a result of applying vectoring to signals transmitted and subsequently received over a plurality of copper telephone loops involve receiving a set of intermediate values, which correspond to estimates of the transmitted signals. The intermediate values are generated by applying a vectoring procedure to initial samples of the received signals. The intermediate values are demodulated. At least one demodulated value is selected as a final estimate of a corresponding transmitted signal. The initial samples are then refined by removing each initial sample that has a corresponding selected demodulated value. The vectoring procedure, the demodulating, the selecting, and the refining are each repeated using the refined samples in place of the initial samples to generate new intermediate values that have reduced noise.

Abstract: A waveform generator for generating a desired waveform is provided, including a noise kernel configured to store a plurality of samples from a predetermined waveform, the plurality of samples being assigned to a plurality of memory blocks; and an address arrangement configured to randomly select a selected one of the plurality of memory blocks; wherein the noise kernel is configured to communicate the plurality of samples assigned to the selected memory block.

Abstract: A waveform generator for generating a desired waveform is provided, including a noise kernel configured to store a plurality of samples from a predetermined waveform, the plurality of samples being assigned to a plurality of memory blocks; and an address arrangement configured to randomly select a selected one of the plurality of memory blocks; wherein the noise kernel is configured to communicate the plurality of samples assigned to the selected memory block.