[PDF] Top 20 El síndrome de burnout en el personal de enfermería de residencias de ancianos
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Underwater Direction of Arrival Estimation using Wideband Arrays of Opportunity
... every direction identified by a pair (θ, φ), for θ ∈ Θ and φ ∈ ...a wideband delay-sum algorithm ...the direction (θ, ...the wideband delay-sum algorithm is a map α(θ, φ) of the power received ... See full document
122
Matched steering vector searching based direction of arrival estimation using acoustic vector sensor array
... DOA estimation algorithms have been proposed ...the estimation of signal parameters via rotational invariance technique (ESPRIT) [6], root multiple signal classification (MUSIC) [7], and self-initiating ... See full document
86
Wideband Direction of Arrival Estimation Based on the Principal Angle Between Subspaces
... the wideband signals should be n times differentiable, oversampled considerably for B-spline function approximation ...for wideband DOA estimation ...spherical arrays. A wideband DOA ... See full document
15
An efficient joint estimation of wideband polynomial-phase signal parameters and direction-of-arrival in sensor array
... The underwater monitoring of vessels and marine fauna is one such ...the estimation of DOA and parameters of PPS impinging on a ...parameter estimation of an arbitrary order PPS, which is very ... See full document
10
Low-Complexity Direction-of-Arrival Estimation Based on Wideband Co-Prime Arrays
... For wideband signals transformed into multiple frequency bins as described in Section II, we could apply the algorithm in (13), (30), and (32) to the frequency range of interest one by one and then average the ... See full document
156
Improvement on EVESPA for Beamforming and Direction of Arrival Estimation
... considered using parameters of Table ...proposed estimation procedure achieves a better performance than the original EVESPA for all SNRs, namely, because E s is estimated ... See full document
24
Sparse covariance fitting for direction of arrival estimation
... representation to direction finding has gained noticeable interest during the last decade. Recent techniques based on sparse representation show promising results that outperform conventional high-resolution ... See full document
5
Direction of Arrival Estimation Based on Heterogeneous Array
... Heterogeneous array is essentially a special polarization sensitive array, which needs only one sensor at each point of the spatial sampling. Using different polarizations from each other, the array can estimate ... See full document
103
Spectrum Sensing based on Direction of Arrival Estimation
... In this paper analysis of MUSIC Algorithm is carried forward for a frequency 478 MHz Its steering vector matrix is formed and Eigen value decomposition is done and then using the angle o[r] ... See full document
38
Beamforming for Direction of Arrival (DOA) Estimation A Survey
... The proposed robust adaptive beamformers are based on explicit modeling of uncertainties in the desired signal array response and data covariance matrix as well as worst-case performance[r] ... See full document
70
Optimization of array geometry for direction-of-arrival estimation using a priori information
... the estimation of the direction-of-arrival (DOA) of signals impinging on a sensor ...DOA estimation performance com- pared to the standard uniform linear array (ULA) with half wavelength ... See full document
110
Direction of Arrival Estimation for Closely Spaced Signal
... Assume Dstatistically independent narrowbandfield signals are impinge on a linear array composed of M identical omni-directional sensors spaced by half wavelength. The signal number D is assume to be known or to be ... See full document
8
Accuracy Researching of Direction-of-Arrival Estimation Via Music for Circular, Octagonal, Hexagonal And Rectangular Antenna Arrays
... Let’s make statistical measurements of MUSIC method in various scenarios. The range of signal-noise ratio (SNR) is from 15 dB up to 0 dB, the number of the averaging samples K of the spatial correlation matrix (28) is ... See full document
124
Angle-of-Arrival Estimation in Multipath Environments Using Sliding Antenna Arrays
... Angle-of-Arrival estimation uses antenna arrays and the Multiple Signal Classification (MUSIC) algorithm [2], which exploits the eigen- structure properties of the covariance matrix of the antenna ... See full document
65
Fast and Accurate Direction-of-Arrival Estimation for a Single Source
... Abstract—In this paper, direction-of-arrival (DOA) estimation of a single narrow-band source with uniform linear arrays is addressed. The basic idea is to convert the received data to a ... See full document
79
Direction of Arrival Estimation Based on Fourth-Order Cumulant Using Propagator Method
... (DOA) estimation ranks as one of the most important problems of array signal ...DOA estimation as evident from the volume of journal publications on this problem in the signal processing literature over the ... See full document
15
Direction of arrival estimation of an unknown number of signals using a machine learning framework
... Given the framework presented in section 3.2, a base-level single-label learning al- gorithm is to be chosen. Examples of such algorithms are decision trees, support vector machines and neural networks. Little literature ... See full document
112
An Improved Amplitude Comparison Based Direction of Arrival Estimation
... The Amplitude Comparison DF compares amplitude of the signal at multiple receivers for finding DOA. Each antenna of the antenna array points to different direction so that the array covers 360º in azimuth. The ... See full document
84
W-L1-Sracv Algorithm for Direction-of-Arrival Estimation
... and the signal subspace spanned by array manifold matrix. DOAs can be effectively estimated simultaneously by searching the sparsest coefficients of the array covariance vectors. Compared with the previous works, the ... See full document
200
Improvement of direction reconstruction and arrival direction estimation at the HiSPARC experiment
... No large adaptations were made to the neural network. By increasing the number of layers no improvements were found. Using dierent optimizers, such as Nadam [13] and Adagrad [14], resulted in similar performance, ... See full document
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