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Journal ArticleDOI

Probability, Random Variables, and Stochastic Processes

Irwin Miller
- 01 May 1966 - 
- Vol. 8, Iss: 2, pp 378-380
About: 
This article is published in Technometrics.The article was published on 1966-05-01. It has received 4028 citations till now. The article focuses on the topics: Algebra of random variables & Convergence of random variables.

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Journal ArticleDOI

Transportation Spherical Watermarking

Yuan-Gen Wang, +2 more
- 22 Jan 2018 - 
TL;DR: This paper proposes an implementation of spherical watermarking, called transportation SW (TSW), which is designed to decrease embedding distortion in a recursive manner using the transportation theory, meanwhile keeping the security of SW.
Proceedings ArticleDOI

Statistical characterization of the 5.2 GHz wideband directional indoor propagation channels with clustering and correlation properties

Chia-Chin Chong, +2 more
TL;DR: Results show that multipath components (MPCs) arrive in clusters in both the spatial and temporal domains, and channel power density spectra are shown to exhibit exponential and Laplacian functions in the delay and angular domains.
Journal ArticleDOI

Wideband Characterization of Backscatter Channels: Derivations and Theoretical Background

Daniel Arnitz, +2 more
- 01 Jan 2012 - 
TL;DR: A method to calculate wideband channel parameters of backscatter channels based on the parameters of the constituent one-way channels, focusing on characteristics that are vital for narrowband and wideband ranging, such as the K-factor w.r.t. the direct (line-of-sight) path and the RMS delay spread.
Journal ArticleDOI

A Deterministic Approach to RF Noise in Silicon Devices Based on the Langevin–Boltzmann Equation

Christoph Jungemann
- 23 Apr 2007 - 
TL;DR: In this paper, a new deterministic approach to electron noise based on a spherical harmonics expansion (SHE) of the Langevin-Boltzmann equation in the frequency domain is presented for silicon devices.
Journal ArticleDOI

Noise covariance estimation for Kalman filter tuning using Bayesian approach and Monte Carlo

Peter Matisko, +1 more
- 01 Nov 2013 - 
TL;DR: A method is introduced for estimation of the noise covariance matrices using Bayesian approach along with Monte Carlo numerical methods for linear time-invariant systems.