noise and uncertainty
The Influence of Noise Uncertainty and SNR Wall on the Performance of Hybrid Sensing Method
... ED [5] is characterized by low computational complexity and simple implementation. This method is a semi-blind detection which requires knowledge of spectral density of noise power for signal detection and as ...
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Throughput Estimation with Noise Uncertainty for Cyclostationary Feature Detector in Cognitive Radio Network
... Probability of detection versus probability of false alarm with SNR variation for feature detector is shown in Figure 1. As it could expected, the performance of feature detector decreases with SNR. The receiver ...
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Decreased noise figure measurement uncertainty in factor method
... the noise source. In Fig. 1 the NF uncertainty is shown as a function of cold temperature of the source for two dif- ferent ENR values of the source and for two LNAs which are assumed for simulation purpose ...
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Climate noise effect on uncertainty of hydrological extremes: numerical experiments with hydrological and climate models
... extreme uncertainty related to the internal variability of the atmosphere (“climate noise”), which is inherent to the climate system and consid- ered as the lowest level of uncertainty achievable in ...
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Dynamic dual threshold cooperative spectrum sensing for cognitive radio under noise power uncertainty
... ambient noise, which can easily lead to detection errors and interference to ...by noise uncertainty, thus deteriorating the spectrum detection per- formance ...under noise power ...
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Considering uncertainty when performing environmental noise measurements
... environmental noise measurements meteorological data are obtained from sources such as (1) on-site upper air data from radiosonde profiles; (2) meteorological mesoscale model data, forecast hourly, specific ...
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Spectrum sensing with spatial signatures in the presence of noise uncertainty and shadowing
... the most noisy dimensions of the received signal subspace leads to a significant improvement of the overall signal- to-noise ratio. Moreover, since active sensors are typically located close to the PU, and also ...
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Spectrum Sensing In Cognitive Radio Under Noise Uncertainty
... This is calculated by the sum of power for InterRegion, sufficient power level and the product of number of co-operative sensing nodes with the bandwidth of license free channe[r] ...
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Spectrum Sensing In Cognitive Radio Under Noise Uncertainty
... This is calculated by the sum of power for InterRegion, sufficient power level and the product of number of co-operative sensing nodes with the bandwidth of license free channe[r] ...
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Design of Nonlinear Robust Controller and Observer for Control of a Flexible Spacecraft
... In normal conditions or in conditions that only one nite uncertain variation disturbance, noise and uncertainty exists, this method responds very well. It means the feedback lineariztion design leads to ...
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Selective Cooperative Spectrum Sensing for Cognitive Radio System
... ignoring noise uncertainty. In general, the noise uncertainty certainly always exists and causes counting error, so degrades the sensing ...
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An Assessment of the Impact of Uncertainty on Automatic Generation Control Systems
... of uncertainty from load variations, renewable-based generation, and noise in commu- nication channels, there is a need to investigate if present AGC system implementations are sufficient for meeting NERC ...
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Doppler Sonar two axis current shear meter
... iii Since the magnitude of the 'velocity noise', due mainly to ship's motion, will probable be a fev; times larger than the uncertainty due to a single frequency measurement at least for[r] ...
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Uncertainty quantification of squeal instability via surrogate modelling
... the uncertainty and variability of the inputs can be mapped to the output space ...the noise performance criterion, it can be considered a reliability ...
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Flexible and efficient Gaussian process models for machine learning
... Figure 2.2c shows the SR prediction for the same 1D data set as discussed earlier for SD. The SR mean predictor is for the most part very good in comparison to SD, because it takes advantage of the averaging effect over ...
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A Neural Network Architecture for Figure-ground Separation of Connected Scenic Figures
... Because of the spatial uncertainty of the large detectors D2(i,j), they are capable of responding at locations where pixel signal strength has been reduced by noise. Such bo[r] ...
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Sea level trend uncertainty with Pacific climatic variability and temporally correlated noise
... appropriate noise model selected to the time series duration and sampling frequency may be due to a num- ber of ...a noise model with integrated white noise (such as ARFIMA ð1; d; 0Þ or GGM), for ...
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Abstract: Molecular overtone transitions provide optical frequency transitions sensitive to variation in
... statistical uncertainty using various state preparation schemes, a single TeH + ion and for one day of ...projection noise-limited outcome, corresponding to instantaneous state preparation with 100% ...
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Robust Shape from Depth Images with GR2T
... the noise in the depth images be- fore conversion to 3D point ...reduce noise and also discard information of importance, second the uncertainty about the depth information and the pixel positions ...
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Testing and Evaluation of Modified Dynamic threshold Energy Detection Algorithm for CR Sensing Applications T. Srinivas , B. Jagadeesh Babu, G.Bheemeswara Rao
... more noise immunity even for minute signal changes due to SNR ...[16]. Noise is the unwanted energy that lies in the same band of spectrum where desired signal is ...Hence Noise estimation is ...
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