Results 31 to 40 of about 322,181 (285)

Xampling: Signal Acquisition and Processing in Union of Subspaces

, 2011
We introduce Xampling, a unified framework for signal acquisition and processing of signals in a union of subspaces. The main functions of this framework are two.
Eldar, Yonina C., Elron, Asaf, Mishali, Moshe   +2 more
core   +1 more source

A Connectedness Constraint for Learning Sparse Graphs

, 2017
Graphs are naturally sparse objects that are used to study many problems involving networks, for example, distributed learning and graph signal processing.
friedman, gnecco, grant, hegde, langville, page, sojoudi, venkitaraman, xiaowen   +8 more
core   +1 more source

RIPless Based Radar Waveform Analysis in Sparse Microwave Imaging

Leida xuebao, 2013
The echo data can be modeled as the product of the Toeplitz matrix and reflectivity of the observed scene. The row of the Toeplitz matrix is the time-shift of the transmitted signal.
Zhao Yao, Zhang Bing-chen, Hong Wen, Wu Yi-rong   +3 more
doaj   +1 more source

A new -means singular value decomposition method based on self-adaptive matching pursuit and its application in fault diagnosis of rolling bearing weak fault

International Journal of Distributed Sensor Networks, 2020
Sparse decomposition has excellent adaptability and high flexibility in describing arbitrary complex signals based on redundant and over-complete dictionary, thus having the advantage of being free from the limitations of traditional signal processing ...
Hongchao Wang, Wenliao Du
doaj   +1 more source

Vibration Characteristic Analysis and Feature Extraction of Bearing Coupling Fault based on Sparse Representation

Jixie chuandong, 2020
Sparse representation has a wide range of applications in the field of image processing and audio processing. Applying the sparse representation theory to the field of vibration signal processing can efficiently represent the periodic components of the ...
Xiaoyun Gong, Weiye Zhang, Yongjie Jing, Wenliao Du   +3 more
doaj  

Random Noise Suppression of Magnetic Resonance Sounding Data with Intensive Sampling Sparse Reconstruction and Kernel Regression Estimation

Remote Sensing, 2019
The magnetic resonance sounding (MRS) method is a non-invasive, efficient and advanced geophysical method for groundwater detection. However, the MRS signal received by the coil sensor is extremely susceptible to electromagnetic noise interference.
Xiaokang Yao, Jianmin Zhang, Zhenyang Yu, Fa Zhao, Yong Sun   +4 more
doaj   +1 more source

An Enhanced Photonic-Assisted Sampling Approach for Spectrum-Sparse Signal by Compressed Sensing

IEEE Access, 2022
Spectrum-sparse signals are vital for wideband radar and wireless communication applications. A high-speed analog-to-digital converter (ADC) with the capacities of tens of gigahertz sampling rates is often required to acquire these signals. In this work,
Fangxing Lyu, Fei Li, Xin Fang, Nan Zhang, Xueying Ma   +4 more
doaj   +1 more source

Mapping the evolution of mitochondrial complex I through structural variation

FEBS Letters, EarlyView.
Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin, Tingting Chen, James A. Letts   +2 more
wiley   +1 more source

Construction Method of Sparse Dictionary for Multi-order FRFT Domain Feature Fusion

Archives of Acoustics
Reverberation constitutes a primary interference for active sonar signals, particularly the intense reverberation originating from the reflection of the incident signal.
Tongjing Sun, Lei Chen, XiaoHong Deng
doaj   +1 more source

MIMO High Frequency Surface Wave Radar Using Sparse Frequency FMCW Signals

International Journal of Antennas and Propagation, 2017
The heavily congested radio frequency environment severely limits the signal bandwidth of the high frequency surface wave radar (HFSWR). Based on the concept of multiple-input multiple-output (MIMO) radar, we propose a MIMO sparse frequency HFSWR system ...
Mengguan Pan, Baixiao Chen
doaj   +1 more source