Pulse Processing -- Overview and Challenges
원문 초록
The detection of irregularly spaced pulses of non-negligible width is a fascinating yet under-explored topic in signal processing. It sits adjacent to other core topics such as radar and symbol detection yet has its own distinctive challenges. Even modern techniques such as compressed sensing perform worse than may be expected on pulse processing problems. Real-world applications include nuclear spectroscopy, flow cytometry, seismic signal processing and neural spike sorting, and these in turn have applications to environmental radiation monitoring, surveying, diagnostic medicine, industrial imaging, biomedical imaging, top-down proteomics, and security screening, to name just a few. This overview paper endeavours to position the pulse processing problem in the context of signal processing. It also describes some current challenges in the field.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
DREAM: On hallucinations in AI-generated content for nuclear medicine imaging
Open-World Social Event Classification
A Cytology Dataset for Early Detection of Oral Squamous Cell Carcinoma
AI-Enhanced Pediatric Pneumonia Detection: A CNN-Based Approach Using Data Augmentation and Generative Adversarial Networks (GANs)
Car Object Counting and Position Estimation via Extension of the CLIP-EBC Framework
LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models
토론
이 논문과 연결된 포럼 글이 아직 없습니다.