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...ics]], the '''mean integrated squared error (MISE)''' is used in [[density estimation]]. The MISE of an [[estimator|estimate]] of an unknown [[probability densi * [[Minimum distance estimation]] ...

...he fast and adaptive learning capability of neural network and correlation estimation property of extension theory by calculating extension distance. <br /> * State of charge estimation in lead-acid battery. ...

...IMO was initially developed to improve the spectral efficiency of point-to-point wireless transmission link. A multi-user MIMO was developed for cellular sy ...scheme is unitary. The use of unitary pre-coding matrices facilitates the estimation of interference from other users' data to the unintended user. ...

'''IQ imbalance''' is a performance-limiting issue in the design of a class of radio receivers known as [[Direc ==IQ imbalance estimation in MIMO-OFDM systems == ...

...stimate. It is one of a number of statistics that can be used to assess an estimation procedure, and it would often be used in conjunction with a sample version ...a_i</math> being the value of the series eventually observed for that time-point. The mean signed difference is defined to be ...

...Model uncertainty|uncertainty in the parameterisations in the model]]. For point forecasts of [[normal distribution|normally distributed variables]], one ca ...of uncertainty in different forecasts, which is difficult to do from past performance-based estimates of uncertainty. Whether the ensemble spread actually contai ...

...ar| first3= J. M.| last4= Patterson III| first4= W. R.| date= 2005 |title= Performance of real-time source-location estimators for a large-aperture microphone arr ...s_m (n)</math>. The (unweighted) steered-response power (SRP) at a spatial point <math>\mathbf{x} = [x, y, z]^{T}</math> can be expressed as ...

If the restrictions are on operation time or if the focus is on first point for improvement, then one can apply compressed time accelerations to reduce The main objective of the reliability testing is to test software performance under given conditions without any type of corrective measure using known f ...

...first2 = Adrian E| title = Strictly Proper Scoring Rules, Prediction, and Estimation| journal = Journal of the American Statistical Association| date = 2007-03- ...recast performance according to a single metric or to the overall forecast performance based on multiple metrics. ...

...">{{cite journal|last=Eleftheriou|first=E|author2=W. Hirt |title=Improving Performance of PRML/EPRML through Noise Prediction|journal=IEEE Trans. Magn.|year=1996| ...choosing {{tmath|K}}, practical NPML detectors can be devised that improve performance over PRML and EPRML detectors in terms of error rate and/or linear recordin ...

...th>U</math>, <math>U| \psi \rangle = e^{i \phi} | \psi \rangle</math>. At point B of the above circuit, the system will then have state <math>\frac{|0 \ran ...bit.<ref name=":0">{{Cite web |last=Bacon |first=Dave |title=Quantum Phase Estimation and Arbitrary Size Quantum Fourier Transforms |url=https://courses.cs.washi ...

...ation channel]] with [[intersymbol interference]] (ISI). It approaches the performance of a [[maximum a posteriori]] (MAP) receiver via iterative [[message passin ...A/D converter]] then samples the analog signal, making it digital. At this point, <math>y</math> is recovered. The signal <math>y</math> is what would be re ...

.... J. |author3=Koutsourelakis, P.|title=A critical appraisal of reliability estimation procedures for high dimensions.|journal=Probabilistic Engineering Mechanics ...distribution|normal space]]. Once the importance direction has been set to point towards the failure region, samples are randomly generated from the standar ...

...] — the function which quantifies the relative degree of undesirability of estimation errors of different magnitudes. The most common choice of the loss function ...the parameter θ is a measure of estimator efficiency and performance. This performance can be calculated by finding the mean squared error. More formally, let ''T ...

{{Short description|Filter for nonlinear state estimation}} In [[estimation theory]], the '''extended Kalman filter''' ('''EKF''') is the [[nonlinear]] ...

===Parameter estimation in linear models=== It is important to note that the deterioration in estimation performance in high dimensions observed in the previous paragraph is not limited to the ...

|title= Angle of Attack and Sideslip Estimation Using an Inertial Reference Platform |title= A Proposed System Architecture for Estimation of Angle-of-Attack and Sideslip Angle ...

...18}}</ref> Many different approaches (during design of HW, SW or real-time estimation) have been discovered by researchers to estimate power consumption efficien ...ast=Sun, Wanner, and Srivastava|first=Yuwen, Lucas and Mani|title=Low-cost Estimation of Sub-system Power|url=http://nesl.ee.ucla.edu/fw/documents/conference/201 ...

...r techniques in [[machine learning]], where usually one wishes to estimate point values or an entire probability distribution. ...ions.<ref>{{cite book | doi=10.1109/CDC45484.2021.9683584 | chapter=Robust Estimation of Sliced-Exponential Distributions^⋆ | title=2021 60th IEEE Conf ...

where <math>k=1,2,3,\ldots</math>, denote an aggregated point series over non-overlapping blocks of size <math>m</math>, for each <math>m ...itted straight line is also the estimation of <math>1-2H</math>. Thus, the estimation <math>\hat{H}</math> is obtained. ...