Nonlinear filtering for LIDAR signal processing.
Nonlinear image processing and filtering: A unified approach based on vertically weighted regression
A class of nonparametric smoothing kernel methods for image processing and filtering that possess edge-preserving properties is examined. The proposed approach is a nonlinearly modified version of the classical nonparametric regression estimates utilizing the concept of vertical weighting. The method unifies a number of known nonlinear image filtering and denoising algorithms such as bilateral and steering kernel filters. It is shown that vertically weighted filters can be realized by a structure...
Nonlinearity of the round function
Nonperiodic Sampling of Bandlimited Functions on Unions of Rectangular Lattices.
Note on an Improvement of the Griesmer Bound for q-ary Linear Codes
Let nq(k, d) denote the smallest value of n for which an [n, k, d]q code exists for given integers k and d with k ≥ 3, 1 ≤ d ≤ q^(k−1) and a prime or a prime power q. The purpose of this note is to show that there exists a series of the functions h3,q, h4,q, ..., hk,q such that nq(k, d) can be expressed.This research was partially supported by Grant-in-Aid for Scientific Research of Japan Society for the Promotion of Science under Contract Number 20540129.
Note on decipherability of three-word codes.
Note on Gray Codes for Permutation Lists
Note on Hamilton Circuits and Hamilton Paths.
Note on Stochastic Transformers
Note on studying change point of LRD traffic based on Li's detection of DDoS flood attacking.
Note on the number of sequences with given complexity.
Notion of information and independent component analysis
Partial orderings and measures of information for continuous univariate random variables with special roles of Gaussian and uniform distributions are discussed. The information measures and measures of non-Gaussianity including the third and fourth cumulants are generally used as projection indices in the projection pursuit approach for the independent component analysis. The connections between information, non-Gaussianity and statistical independence in the context of independent component analysis...
Nuclei segmentation for computer-aided diagnosis of breast cancer