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In frame interpolation tasks, motion ambiguity in the training set causes models to generate blurry intermediate frames. Moreover, the assumption of uniform motion between frames during inference furt
Radar target recognition via high-resolution range profiles is conventionally closed-set, yet practical deployments must classify known targets while rejecting unseen classes. Toward this open-set obj
Electric Network Frequency (ENF) acts as a fingerprint in multimedia forensics. ENF detection remains challenging in short audio segments at low signal-to-noise ratios (SNR) because frequency and ampl
This paper proposes the Block Double Proportionate Sign Adaptive Filter (BDP-SAF) for sparse system identification in impulsive noise environments. The algorithm brings three mechanisms that are indiv
In this article, we examine the effect of link noise on the performance of the exact diffusion stochastic gradient (EDSG) procedure for optimization and learning over adaptive networks. First, it is s
In large antenna arrays, hardware power consumption becomes a dominant design constraint, making energy efficiency (EE) a primary design objective alongside spectral efficiency (SE). Microwave linear
Robust 6D object pose estimation is essential for enabling intelligent systems to interact with the physical world. While existing methods have achieved notable progress, they remain constrained by tw
Widely deployed face recognition poses privacy risks: images collected for identity verification are repurposed to infer sensitive soft-biometric attributes such as age, gender, and race, which may co
Lensless diffraction imaging provides an effective solution for developing IoMT-based cell analysis devices, although it remains challenging to develop a sensing-computing integrated circuit for diffr
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The IEEE Signal Processing Society is dedicated to supporting the professional growth and career advancement of its members in the dynamic field of signal processing. Learn More
Signal processing education and professional development program for all career levels. Learn more.