Results 11 to 20 of about 300,398 (297)
Adaptive Coherent Lp-Norm Combining [PDF]
2009 IEEE International Conference on Communications, 2009 In this paper, we introduce an adaptive L p -norm metric for robust coherent diversity combining in non-Gaussian noise and interference. We derive a general closed-form expression for the asymptotic bit error rate (BER) for L p -norm combining in independent non-identically distributed Ricean fading and non-Gaussian noise and interference with finite ...
Amir Nasri +2 more
openaire +2 more sources
Error Bounds for lp-Norm Multiple Kernel Learning with Least Square Loss
Abstract and Applied Analysis, 2012 The problem of learning the kernel function with linear combinations of multiple kernels has attracted considerable attention recently in machine learning.
Shao-Gao Lv, Jin-De Zhu
doaj +2 more sources
Sparse Adaptive Channel Estimation Based on lp-Norm-Penalized Affine Projection Algorithm [PDF]
International Journal of Antennas and Propagation, 2014 We propose an lp-norm-penalized affine projection algorithm (LP-APA) for broadband multipath adaptive channel estimations. The proposed LP-APA is realized by incorporating an lp-norm into the cost function of the conventional affine projection algorithm (
Yingsong Li +4 more
doaj +2 more sources
Lp-Norm Inversion of Gravity Data Using Adaptive Differential Evolution
Applied Sciences, 2021 As a popular population based heuristic evolutionary algorithm, differential evolution (DE) has been widely applied in various science and engineering problems. Similar to other global nonlinear algorithms, such as genetic algorithm, simulated annealing,
Tao Song +5 more
doaj +2 more sources
The Improvement on the Boundedness and Norm of a Class of Integral Operators on Lp Space [PDF]
Journal of Function Spaces, 2015 We prove the condition “c is neither 0 nor a negative integer” can be dropped on the boundedness of a class of integral operators Sa,b,c on Lp space, which improves the result by Krues and Zhu.
Lifang Zhou, Jin Lu
doaj +2 more sources
Recent Studies on Lp-Norm Estimation
, 1980 When estimating the parameters in a linear regression model, the method of least squares (L^-norm estimator) is often used. When thè residuals are independent and identically normally distributed, the least squares estimator is BLUE as well as equivalent to the maximum likelihood estimator.
Nyquist, Hans
openaire +2 more sources
On The Marriage of Lp-norms and Edit Distance [PDF]
, 2004 Existing studies on time series are based on two categories of distance functions. The first category consists of the Lp-norms. They are metric distance functions but cannot support local time shifting. The second category consists of distance functions which are capable of handling local time shifting but are nonmetric.
Lei Chen 0002, Raymond T. Ng
openaire +1 more source
Universal Lp improving for averages along polynomial curves in low dimensions [PDF]
, 2009 We prove sharp Lp → Lq estimates for averaging operators along general polynomial curves in two and three dimensions. These operators are translation-invariant, given by convolution with the so-called affine arclength measure of the curve and we obtain ...
Wright, James +5 more
core +1 more source
Higher Integrability of the Composite Operator T D G for Differential Forms
Journal of Harbin University of Science and Technology, 2023 We firstly prove the higher integrability of the composite operator T D G by using Poincaré-Sobolev inequalities when 1< p < n. Then further consider the case of p ≥ n and obtain the higher order norm estimation of composite operators, by which the ...
ZHAO Pengfei, BI Shujuan, LIU Zhenjie
doaj +1 more source
Lp-Norm Constrained One-Class Classifier Combination
CoRR, 2023 Classifier fusion is established as an effective methodology for boosting performance in different settings and one-class classification is no exception. In this study, we consider the one-class classifier fusion problem by modelling the sparsity/uniformity of the ensemble. To this end, we formulate a convex objective function to learn the weights in a
Sepehr Nourmohammadi +1 more
openaire +2 more sources