Abstract: Techniques to improve the detection and mitigation of synchronous and asynchronous interference in radar signals. The corrupted received signals can be processed to reduce the effect of interference, while preserving existing targets. Various can use a two-step approach to (1) detect and mask the corrupted samples, and (2) recover the masked-out samples. The recovery step enforces sparsity of the existing targets and prevents target smearing, which is a common problem after interference mitigation. The sparsity enforcing recovery step can preserve small targets while successfully rejecting interference. The techniques do not require any prior knowledge of the parameters of the interfering radar.

Abstract: It is not trivial to implement speech and natural language processing in offline embedded systems. Voice control of devices in various settings and applications can benefit from an embedded speech and natural language processing solution. One feature that helps to correct automatic speech recognition outputs is grammar projection. Another feature addresses situations where there is imperfect information or incomplete information by providing an application programming interface to enable structured queries and responses between an interpreter and an application.

Abstract: Disclosed herein are example systems and approaches for decomposition of composite signals. Decomposition of the composite signals may include derivation of two or more signals from the composite signals. An upper envelope and lower envelope may be determined for a composite signal in accordance with a smoothness parameter. A smooth estimate may be produced based on the upper envelope and the lower envelope, where the smooth estimate provides an estimate for a smooth component of the composite signal, which may be more accurate than legacy approaches.