Results 251 to 260 of about 1,946,882 (294)

Discrete plane‐wave decomposition by least‐mean‐square‐error method

GEOPHYSICS, 1994
The recording of a point source wavefield can be decomposed into a set of plane‐wave components, each corresponding to different angles of propagation. Such plane‐wave seismograms have a far simpler structure than the spherical waves of the point source records, which makes them desirable in many steps of seismic data processing such as predictive ...
Orhan Yilmaz, M. Turhan Taner
openaire   +1 more source

Mean-Squared-Error Methods for Selecting Optimal Parameter Subsets for Estimation

Industrial & Engineering Chemistry Research, 2012
Engineers who develop fundamental models for chemical processes are often unable to estimate all of the parameters, especially when available data are limited or noisy. In these situations, modelers may decide to select only a subset of the parameters for estimation.
Kevin A. P. McLean, Shaohua Wu, Kimberley B. McAuley   +2 more
openaire   +1 more source

Siren detection and driver assistance using modified minimum mean square error method

2017 International Conference On Smart Technologies For Smart Nation (SmartTechCon), 2017
Emergency vehicles always hold a higher priority in traffic. These days it has become difficult to hear the siren of an emergency vehicle from inside a car. Thus, it has become a necessity to ensure the swift movement of these vehicles. The proposed method uses peak detection algorithm coupled with minimum mean square error to detect acoustic siren ...
S. L. Kiran, M. Supriya
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Mean Squared Error May Lead You Astray When Optimizing Your Inverse Design Methods

Volume 3A: 48th Design Automation Conference (DAC), 2022
Abstract When performing time-intensive optimization tasks, such as those in Topology Optimization or Shape Optimization, researchers have turned to Machine Learned (ML) Inverse Design methods — i.e., algorithms that predict the optimized geometry from input conditions — to either replace or warm start traditional optimizers.
Shai Bernard, Jun Wang, Mark Fuge
openaire   +1 more source

Novel Method for Keyframe Extraction using Block Truncation Coding and Mean Square Error

2014 International Conference on Green Computing Communication and Electrical Engineering (ICGCCEE), 2014
A video signal is made of up ‘n’ number of frames. Frames per second gives the number of frames per second, hence 32 fps means there are 32 frames in one second. In video processing we have to process each frame one by one, but processing each frame would consume a lot of resources and time.
Sudeep. D. Thepade, Nikhil Bankar, Akansha Raina, Shreyas Deshpande, Abhijeet Kulkarni   +4 more
openaire   +1 more source

A Fingerprint Registration Method Based on Image Field and Mean Square Error

2017
Fingerprint registration is an important step in the technology of fingerprint identification. Image field is often used for feature extraction in fingerprint registration, however, the accuracy can not be guaranteed due to the selection of feature points.
Sheng Lan, Zhenhua Guo
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SOME RESULTS ON THE BIAS AND MEAN SQUARED ERROR IN THE METHOD OF FREQUENCY MOMENTS

Kybernetes, 1978
Let f (x) be a probability density function. The problem of estimating the functional ∫f2(x) dx by the Method of Frequency Moments is considered. An expression for the asymptotic mean squared error of the proposed estimator is given. The results are applied to the estimation of the reciprocal of the scale parameter in the Cauchy and Pareto ...
Higgins, J. J., Tichenor, D. M.
openaire   +2 more sources

Aspects of threshold region mean squared error prediction: Method of interval errors, bounds, Taylor's theorem and extensions

2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2012
The method of interval errors (MIE) predicts mean-squared error (MSE) performance at low signal-to-noise ratios (SNR) where global errors dominate. It is algorithm specific and enabled by an estimate of asymptotic MSE performance and sidelobe error probabilities.
Christ D. Richmond, Larry L. Horowitz
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Test functions for the moment method which yield the minimum mean square error

Radio Science, 1991
The method of moments has found extensive applications in the solution of a wide class of electromagnetic problems. Additionally, there are a number of basis functions which have found favor and with them different types of testing methods. This work examines the selection of test functions, given a selected set of basis functions, which serve to ...
H. Shamansky, C. Yang
openaire   +1 more source

Mean Squared Error May Lead You Astray When Optimizing Your Inverse Design Methods

Journal of Mechanical Design
Abstract When performing time-intensive optimization tasks, such as those in topology or shape optimization, researchers have turned to machine-learned inverse design (ID) methods—i.e., predicting the optimized geometry from input conditions—to replace or warm start traditional optimizers.
Milad Habibi, Shai Bernard, Jun Wang, Mark Fuge   +3 more
openaire   +1 more source