In this article, we investigate the problem of federated learning (FL) in a communication-
constrained environment of the Internet of Things (IoT), where multiple IoT clients train a …

Over-complete systems of vectors, or in short, frames, play the role of analog codes in many
areas of communication and signal processing. To name a few, spreading sequences for …

Acoustic tomography (AT) is one of a few non-contact measurement techniques that can
present information about the temperature distribution. Its successful application greatly …

This article proposes a compressed-domain signal processing (CSP) multiple-input multiple-
output (MIMO) radar, a MIMO radar approach that achieves substantial sample complexity …

A reconstruction algorithm is proposed, based on multi-dictionary learning (MDL), to improve
the reconstruction quality of acoustic tomography for complex temperature fields. Its aim is to …

A novel down-sampling filter named moving accumulative sign filter (MASF) is proposed for
low-power down-sampling of large-scale binary and ternary data. Besides, the MASF has …

Algorithms are proposed to address the radar target detection problem of compressed
sensing (CS) under the conditions of a low signal-to-noise ratio (SNR) and a low signal-to …

针对自动驾驶中有限平台空间及发射功率导致毫米波雷达目标检测性能较低的问题,
该文提出一种距离及速度分辨率约束下提升毫米波雷达目标检测概率的波形参数及接收权联合 …

In the digitization process of millimeter wave fuze signal processing circuits, the traditional
Nyquist sampling theorem requires a high sampling rate, which necessitates the …

This paper investigates the problem of high-resolution detection of target parameters by
compressed sensing radar (CSR) in an interference background. The paper first assigns a …