Results 191 to 200 of about 2,665,090 (225)
Some of the next articles are maybe not open access.
EMD Threshold Denoising Algorithm Based on Variance Estimation
Circuits, Systems, and Signal Processing, 2018To better maintain accurate data signal and to more easily select the threshold parameter in a traditional empirical mode decomposition denoising algorithm, this paper proposes a threshold denoising algorithm based on variance estimation. The variance of true noise in the data is obtained from the energy of each component and the variance value is used
Rongkun Wang +3 more
openaire +2 more sources
Some remarks on the well-posedness of the EMD algorithm
IET Irish Signals and Systems Conference (ISSC 2009), 2009We identify two major difficulties with the formulation of a rigorous mathematical theory for the Empirical Mode Decomposition (EMD): a) the concept of the envelope is not well defined, and b) the output of the EMD fails a very simple consistency criterion. (6 pages)
K. Drakakis, N. Tsakalozos, S. Rickard
openaire +1 more source
LLT-EMD algorithm based on wavelet packets
2011 4th International Congress on Image and Signal Processing, 2011Huang's Empirical Mode Decomposition (EMD) algorithm sometimes may cause mode mixing because of multi-band included in Intrinsic Mode Function (IMF) components, in addition, the EMD always has illusive components due to the shortcoming of the algorithm itself.
Yonghong Zhang, Xueming Xu
openaire +1 more source
EMD-based Gray Association Algorithm for Group Ballistic Target
2019 6th International Conference on Systems and Informatics (ICSAI), 2019Aiming at the problem that the characteristic quantity is difficult to be extracted in group ballistic target track association under the background of concentrated attack, bait and interference penetration, IMF matrix representing the track feature information is extracted from the measurement data by using empirical mode decomposition (EMD) method ...
Huainian Zhang +4 more
openaire +1 more source
Fast algorithm for 2D fragment assembly based on partial EMD
The Visual Computer, 20162D Fragment assembly is an important research topic in computer vision and pattern recognition, and has a wide range of applications such as relic restoration and remote sensing image processing. The key to this problem lies in utilizing contour features or visual cues to find the optimal partial matching.
Meng Zhang +7 more
openaire +1 more source
An efficient quantum image steganography protocol based on improved EMD algorithm
Quantum Information Processing, 2021zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhiguo Qu, Hanrong Sun, Min Zheng
openaire +1 more source
EMD Based Value at Risk Estimate Algorithm for Electricity Markets
2014 Seventh International Joint Conference on Computational Sciences and Optimization, 2014With the electricity market reform in recent decades, the electricity price volatility brings more uncertainty and greater risks. This paper proposes a novel risk measurement approach Based on the EMD algorithm to estimate Value at Risk (VaR) in the electricity market.
Hongqian Wang, Kaijian He, Yingchao Zou
openaire +2 more sources
Pipelined van Emde Boas Tree: Algorithms, Analysis, and Applications
IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications, 2007Priority queues are essential for various network processing applications, including per-flow queueing with quality-of-service (QoS) guarantees, management of large fast packet buffers, and management of statistics counters. In this paper, we propose a new data structure for implementing high-performance priority queues based on a pipelined version of ...
Hao Wang 0006, Bill Lin 0001
openaire +2 more sources
FastICA-EMD algorithm for analysis of the mixed signals in noise
2011 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2011Empirical mode decomposition (EMD) is an effective signal analysis method, which can decompose the original signal into several intrinsic mode functions(IMFs). In this paper a new signal analysis method of FastICA-EMD is introduced. The method is illustrated on simulated and real data, and the results are compared to traditional EMD method.
Peng Tianliang +3 more
openaire +1 more source
Implementation of EMD Algorithm for ECG Noise Reduction
2009In this paper, Empirical mode decomposition (EMD) algorithm is implemented on a digital signal processor (DSP) to eliminate artifacts from the electrocardiogram (ECG) signal. By extracting specified IMF components, power-line interference and baseline wander can be reduced.
K. K. Shyu +3 more
openaire +1 more source