"> In the present study the reaction kinetic and dynamic modeling of the reactor for syngas transformation into dimethyl ether u...

For many applications such as acoustic echo compensation, adaptive noise reduction or acoustic feedback control it is of great interest to simulate reproducibly a real, time variant room. One approach to describe the transient behavior of a room is the generation of a physical room model, e.g. [l]. To identify the variation of a room impulse response with time an alternative concept is presente...

This paper presents the time variant vectored comb filter. It is an extension of the feedback delay network to time variant and nonlinear domains. Effects such as chorus and flanger, tap delay and pitch shifter are examined in the context of the feedback scheme. Efficient implementation of a stateless vectorizable LFO for modulation purposes is presented, along with a recursive formulation of t...

Computational models based on diffusion processes have been proposed to account for human decision-making behaviour in a variety of tasks. The basic idea is that the brain keeps accumulating noisy sensory evidence until a critical level is reached. This study explores whether such models account for the speed and accuracy of perceptual decisions in a reaction-time random dot motion direction di...

The classical result by De Groot on consensus formation for one dimensional opinions and fixed coefficients of confidence is extended to a discrete dynamical system with opinions of any finite dimension and a confidence pattern which may depend on time.

We study the selfadjoint time operator recently constructed by one of the authors. We will show that this time operator must be interpreted as a “selfadjoint variant” of the time operator.

We introduce a technique for identification of systems with arbitrarily time-variant responses from samples of their input and output signals, and without using any prior information about the dynamics of the unknown system response. Our technique is based on the use of optimized averaging filters for the estimation of time-variant second order moments. We demonstrate the utility of our approac...

We study the transmission power control in a cellular network where the mobility of users results in a time varying gain matrix. A framework for evaluating the channel quality in a time variant system is de ned, and an asymptotic representation of the link gain evolution in time is developed. Then a variant of a standard distributed constrained power control which copes with user mobility is de...

This paper studies two different modeling strategies for capturing the time-variant behavior of multiple-input multiple-output wireless channels. The first method generates a multi-variate random description of the channel matrix based on the measured space-time covariance. The second method describes the physical variation of the multipath propagation components with time. Information theoreti...