An Introduction to Compressive Sensing Compressed Sensing : History Compressed Sensing ( CS )Holtz, Olga VBerkeley, U CBerlin, T U
下载地址:http://cnx.org/exports/f70b6ba0-b9f0-460f-8828-e8fc6179e65f@5.12.pdf/an-introduction-to-compressive-sensing-5.12.pdf 《An Introduction to Compressive Sensing》 1 Introduction 1.1 Introduction to compressive sensing 2 Sparse and Compressible Signal Models 2.1 Introduction to vector spaces...
1、 An Introduction To Compressive Sampling Candes E.J. Wakin M.B. IEEE Signal Processing Magazine 应该没人敢说这个不是顶刊了吧 传统的信号或图像采样方法遵循香农的著名定理:采样率必须至少是信号中存在的最高频率的两倍(所谓的奈奎斯特率)。例如,在数据转换领域,标准的模拟-数字转换器(ADC)技术实施了常规...
7.1 Introduction Compressive sensing [1–5] is a new road to signal/image data sampling. It is performed using by much less required samples than one stated by the Shannon–Nyquist theorem. It deploys the sparsity nature of the information where just some samples are associated with information...
In this paper, we propose an optimized design of the emerging optical imager based on compressive sensing theory. It simplifies data acquisition structure and reduces data transmission burden. In addition, the system robustness is improved. Introduction Space telescopes are significant instruments located...
1 Introduction The continuously increasing amount of acoustic communication devices has fueled the research on reliable speech enhancement algorithms. In this context system identification has proven to be a vital part of many state-of-the-art approaches [1, 2]. In particular online algorithms are ...
Instrumented implants are being developed with a radically innovative design to significantly reduce revision surgeries. Although bone replacements are among the most prevalent surgeries performed worldwide, implant failure rate usually surpasses 10%. Hi
Introduction The keen tactile sensing of humans relies on numerous mechanoreceptors that can detect pressure in a wide range (up to 300 kPa) with a low detection limit (down to 1 Pa)1,2,3,4. In robotics, the achievement of dexterity of robots demands high-performance flexible sensors for...
Xu et al. [15] propose a novel hierarchical data aggregation method using compressive sensing which combines a hierarchical network configuration. Their key idea is to set multiple compression thresholds adaptively based on cluster sizes at different levels of the data aggregation tree to optimize the...
Introduction Brain and Nature-Inspired Learning Computation and Recognition Book2020, Brain and Nature-Inspired Learning Computation and Recognition Licheng Jiao, ... Weitong Zhang Explore book 1.4.1 The development of compressive sensing Compressed sensing (CS) [1, 2] is a new framework about signal...