Signal processingI. W. Selesnick, "Resonance-based signal decomposition: A new sparsity-enabled signal analysis method," Signal Processing, vol. 91, no. 12, pp. 2793-2809, Dec. 2011. [Online]. Available: http: //dx.doi.org/10.1016/j.sigpro.2010.10.018...
resonance-based sparse signal decomposition; signal processing; mechanical fault diagnosis; feature extraction1. Introduction With the rapid development of modern industry, mechanical equipment, the industrial heart, is developing towards the direction of large scale, high speed, high accuracy and system ...
Keywords: ship-radiated noise; resonance-based sparse signal decomposition; manifold learning; phase space reconstruction; resonance-based time-frequency manifold 1. Introduction Underwater ship-radiated noise, in which entire spectra are widely distributed from as low as 5 Hz to as high as 100 KHz...
Research on feature enhancement method of weak fault signal of rotating machinery based on adaptive stochastic resonance 2022, Journal of Mechanical Science and Technology An adaptive empirical mode decomposition and stochastic resonance system in high efficient detection of terahertz radar signal 2020, Ferr...
Akansu AN, Haddad RA (2001) Multiresolution signal decomposition: transforms, subbands, and wavelets Corona V, Avilés-Rivero AI, Debroux N, Guyader CL, Schönlieb C (2021) Variational multi-task MRI reconstruction: joint reconstruction, registration and super-resolution. Med Image Anal 68:1019...
Signal intensity informed multi-coil encoding operator for physics-guided deep learning reconstruction of highly accelerated myocardial perfusion CMR Demirel, Omer Burak, Burhaneddin Yaman, Chetan Shenoy, Steen Moeller, Sebastian Weingärtner, and Mehmet Akçakaya ...
Magnetic resonance imaging (MRI) has revolutionized medical imaging diagnostics with the advantages of non-invasive nature, absence of ionizing radiation, unrestricted penetration depth, high-resolution imaging of soft tissues, organs and blood vessels, and multi-parameter and multi-sequence imaging. Contr...
workintrusionsignaladaptivestochasticresonancedetectionsystemisestablished.ThemethodusingEMDdecomposition intotwoparts:highfrequencyandlowfrequencysignalmultifrequencynetworkintrusionsignal,andthephasetrajectory zerocyclephasediscriminationalgorithmtoextractthestochasticresonanceprobabilitydensitycharacteristics.Thecritical thresholddetec...
DigitalSignalProcessor )的系统和基于 FPGA ( FieldProgramma bleGateArray )的系统 . 有的商用磁共振谱仪采用多片 DSP 并行处理的方案 [6] ,但是设 收稿日期: 20091109 ;收修改稿日期: 20091226 基金项目:科技部资助项目( 2008ZX05008004015 ) . 作者简介:肖亮( 1971 ),男,江西吉水人,博士,无线电物理专业,...
Signal Processing AmsterdamI.W. Selesnick, Resonance-based signal decomposition: a new sparsity-enabled signal analysis method, Signal Process. 91 (12) (2011) 2793-2809.I. W. Selesnick, "Resonance-based signal decomposition: A new sparsity-enabled signal analysis method", Signal Processing, vol....