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Sound field estimation with moving microphones can increase flexibility, decrease measurement time, and reduce equipment constraints compared to using stationary microphones. In this paper a kernel ri
Controlled multichannel room impulse response (RIR) simulation supports the analysis and evaluation of coherence-sensitive microphone-array methods under explicitly stated modeling assumptions. Two la
Although front-end speech enhancement can improve automatic speech recognition (ASR) robustness, its practical deployment under frozen recognizers is often limited by within-block sequential dependenc
To address the limitations of conventional ECG monitoring, including the need for direct skin contact, discomfort during long-term use, and limited applicability in special monitoring scenarios, this
Deep Neural Networks (DNNs) remain vulnerable to adversarial perturbations, raising significant concerns in image processing applications, particularly in high-stakes domains such as medical imaging a
Organic light-emitting diode (OLED)-based augmented and virtual reality (AR/VR) technologies are becoming increasingly integral to everyday life. However, these devices often face significant challeng
Hyperspectral image classification (HSIC) has witnessed remarkable progress with the rise of deep learning. Nevertheless, its real-world deployment remains substantially constrained by two fundamental
Occluded by rain streaks and haze, rainy images suffer from information loss, which necessitates the precise recovery of missing content. However, visually appealing yet spurious image details generat
Multi-phase contrast-enhanced CT (CECT) is widely employed to capture the dynamic enhancement patterns and temporal evolution of organs and lesions. However, acquiring multiple phases increases radiat
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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.