Thus compressive sensing (CS) acts as a new path that benefits both the speed and quality of the diagnosis. The term "health monitoring" refers to the technologies that monitor the vital signals of the human body. There are several possible approaches: body monitoring networks, wearable, and ...
Compressive Sensing In subject area: Computer Science Compressive sensing refers to an efficient signal processing technique that exploits the sparsity of a signal vector to recover it from far fewer samples than the Nyquist limit implies. AI generated definition based on: Computer Networks, 2021 ...
Candes(Ridgelet, Curvelet创始人)及华裔科学家T. Tao(2006年菲尔兹奖获得者,2008年被评为世界上最聪明的科学家)等人提出了一种新的信息获取指导理论,即,压缩感知或压缩传感(Compressive Sensing(CS) or Compressed Sensing、Compressed Sampling)。该理论指出:对可压缩的信号可通过远低于Nyquist标准的方式进行采样数据,...
Compressive sensing (CS) is an emerging technique that has great significance to the design of resource-constrained embedded signal processing systems. However, signal reconstruction remains a challenging problem due to its high computational complexity, which limits the practical application of compressive ...
本文综述了压缩采样理论,也称为压缩感知或CS(compressed sensing or CS),这是一种与数据获取中的常识相悖的新型感测/采样范式。CS理论主张,可以从远少于传统方法使用的样本或测量中恢复某些信号和图像。为了实现这一点,CS依赖于两个原则:稀疏性(sparsity)和非相干性(incoherence)。
Compressive sensing has emerged as a promising technique for signal processing. Most of the existing reconstruction methods cannot describe the sparsity of an image in different transform domains simultaneously, which results in an instability performance for images. In this paper, a new model based on...
But in some practical applications (such as image and video processing systems), an increased sampling frequency will substantially increase the data storage and transmission costs. Different from the traditional signal acquisition process, compressive sensing, which is a new theory that captures and ...
At the intersection of mathematics, engineering, and computer science sits the thriving field of compressive sensing. Based on the premise that data acquisition and compression can be performed simultaneously, compressive sensing finds applications in imaging, signal processing, and many other domains. In...
Compressive sensing (CS) is a signal processing technique that allows, by making use of sparsity of a signal, reconstruction of the signal from a significantly reduced number of data points than the full set of data points required from the Nyquist-Shannon sampling theorem9. If the signal is ...
Compressive sensingState assessmentCompressive featureIn the signal processing domain, there has been growing interest in using acoustic emission (AE) signals for the fault diagnosis and condition assessment instead of vibration signals, which has been advocated as an effective technique for identifying ...