A quantum mechanical observer might be describable as having a reference system that is a superposition of classical inertial reference frames. The present paper suggests a possible weighting function in such superpositions, determined by the product of the observer’s wavefunction and the Fourier transform of the wavefunction at each point in phase space. This suggestion is made because each of...

This paper looks at unobserved components models and examines the implied weighting patterns for signal extraction. There are three main themes. The rst is the implications of correlated disturbances driving the components, especially those cases in which the correlation is perfect. The second is how setting up models with t distributed disturbances leads to weighting patterns which are robust ...

First we modify the basic (binary) context-tree weighting method such that the past symbols x1 D; x2 D; ; x0 are not needed by the encoder and the decoder. Then we describe how to make the context-tree depth D infinite, which results in optimal redundancy behavior for all tree sources, while the number of records in the context tree is not larger than 2T 1: Here T is the length of the source se...

There are many evidences that people tend to overweight low-probability events and underweight highprobability events. This risk attitude is generally expressed as an inverse-S shaped weighting function. This paper considers a risk-averse inventory manager who operates a continuous-review inventory system subject to supply disruption risk. Both Zero-Inventory-Order (ZIO) and Non-ZIO policies ar...

There are few works on the problem of heavy noise corruption in wavelet-based speech enhancement. In this paper, a new method is introduced to adapt the weighting function for wavelet coefficients (WCs) in each subband. The idea is based on that the variance of WCs in speech-dominated frames is larger than the variance of WCs in noise-dominated frames. We can define a weighting function for WCs...

TThe uncertainty estimation and compensation are challenging problems for the robust control of robot manipulators which are complex systems. This paper presents a novel decentralized model-free robust controller for electrically driven robot manipulators. As a novelty, the proposed controller employs a simple Gaussian Radial-Basis-Function Network as an uncertainty estimator. The proposed netw...