Abstract: We introduce Xampling, a unified framework for signal acquisition and processing of signals in a union of subspaces. The main functions of this framework are two: Analog compression that ...

Abstract: Complex random signals play an increasingly important role in array, communications, and biomedical signal processing and related fields. However, the fundamental properties of ...

Julius contains different Digital Signal Processing algorithms implemented with PyTorch, so that they are differentiable and available on CUDA. Note that all the modules implemented here can be used ...

Listen, I need to tell you something that might just save your financial life—and I'm not being dramatic here. Every 14 seconds, someone in America becomes a victim of identity theft. That's not a ...

An understanding of the underlying mechanisms and the limitations of basic digital signal processing methods is essential for designing more complex algorithms, such as the recent contributions on ...

The Internet of Things (IoT) is rapidly developing with the promotion of new technologies such as LoRa, which offers extensive coverage, low power consumption, and strong anti-interference ...

Today’s connected society is immersed in radio waves. Literally a “sea of RF” and Wi-Fi sensing, enabled by advanced processing techniques, is emerging as a critical feature for connected IoT devices.

Frequency-modulated continuous wave radar is capable of constant, real-time detection of human presence and monitoring of cardiopulmonary signals such as respiration and heartbeat. In highly cluttered ...

The three-dimensional ground-penetrating radar system is an effective method to detect road void disease. Ground penetrating radar image interpretation has the characteristics of multi-solution, long ...