Abstract: Dynamic characterization of complex high-order nonlinearity in transmitter (TX) and receiver (RX) signal chains of transceiver systems can be efficiently and accurately performed. A loopback connection may be used to facilitate self-characterization. Appropriate RX and TX configuration settings may be developed to facilitate de-coupling of individual RX and TX nonlinearities from measured cascade nonlinearity. The system's high-order response to a two-tone signal generation may be measured, and complex mathematical analysis may be performed to identify and isolate passband nonlinear components to extract a high-order memory-less model for the system. The extracted system model may be used in the corrective and non-iterative pre-distortion of generated signals and in the post-distortion of received signals to improve linearity performance of the transceiver.

Abstract: A tactile communication apparatus that includes a signal receiver configured to decode data received via a wireless signal a plurality of electro tactile pads on one side, each pad configured to respectively activate and deactivate to form a plurality of pad combinations based on a plurality of activation signals, and a communication processor configured to generate the plurality of electro tactile pad activation signals based on the received data so as to convey the data to a user through the plurality of pad combinations of the tactile communication apparatus.

Abstract: Dynamic characterization of complex high-order nonlinearity in transmitter (TX) and receiver (RX) signal chains of transceiver systems can be efficiently and accurately performed. A loopback connection may be used to facilitate self-characterization. Appropriate RX and TX configuration settings may be developed to facilitate de-coupling of individual RX and TX nonlinearities from measured cascade nonlinearity. The system's high-order response to a two-tone signal generation may be measured, and complex mathematical analysis may be performed to identify and isolate passband nonlinear components to extract a high-order memory-less model for the system. The extracted system model may be used in the corrective and non-iterative pre-distortion of generated signals and in the post-distortion of received signals to improve linearity performance of the transceiver.

Abstract: A mechanism for measuring noise densities below the noise floor of a measuring instrument. The measuring instrument may first acquire a fully-averaged reference spectral noise density trace and estimate corresponding reference statistical parameters. Based on the reference statistical parameters, the measuring instrument may construct a reference spectral noise density distribution. The measuring instrument may also acquire a fully-averaged sum spectral noise density trace and estimate corresponding sum statistical parameters. Based on the sum statistical parameters, the measuring instrument may construct a sum spectral noise density distribution. The measuring instrument may extract a spectral noise density distribution from the reference and sum distributions. The measuring instrument may also determine a confidence interval based on a desired confidence level.