Estimates of transfer functions from measurements contain undesired information – noise – whose effect can partly be taken away by applying different smoothing techniques. One such smoothing technique suggests to remove the noise by gating the impulse response in the time domain, hence the name time-gating. This paper shows that time-gating is a special case of a more general smoothing techniqu...

Multi-dimensional transfer functions are an efficient way to visualize features in scalar volume data produced by CT or MRI scanners. However, the optimal transfer function is difficult to find in general. We present an automatic yet powerful method for the automatic setup of multi-dimensional transfer functions by adding spatial information to the histogram of a volume. Using this information ...

The Virtual Reference Feedback Tuning (VRFT) is a data based method for the design of feedback controllers. In previous papers, the VRFT has been presented for the solution of the one degree of freedom model-reference control problem in which the objective is to shape the I/O transfer function of the control system. In this paper, the VRFT approach is extended so that it can be used for the sha...

We deal with the imaging spectrometer based on the Offner scheme. We define the optical transfer function of the imaging spectrometer based on the Offner scheme. We define the spectrum reconstruction error for red LED.

A robust ∞ H approach to filtering for continuous-time linear uncertain systems with time -delayed measurement is investigated. The filters such that the filtering process remains robustly stable and the transfer function from the disturbance inputs to error state outputs meets the pres cribed ∞ H -norm upper-bound constraints can be derived and obtained by solving two Riccati equations based o...

Model transfer refers to the process of transferring information from a model that was previously identified for one task (source) to a new task (target). For decision tasks in unknown Markov environments, we profit through model transfer by using information from related tasks, e.g. transition knowledge and solution (policy) knowledge, to quickly determine an appropriate model of the new task ...

In this note we describe the theory of functional asynchronous networks and one of the main results, the Modularization of Dynamics Theorem, which for a large class of functional asynchronous networks gives a factorization of dynamics in terms of constituent subnetworks. For these networks we can give a complete description of the network function in terms of the function of the events comprisi...

Solution: The circuit has been represented twice, by a circuit diagram and also by a network function. The unknown inductance, L, appears in the circuit diagram, but not in the given network function. We can analyze the circuit to determine its network function. This second network function will depend on the unknown inductance. We will determine the value of the inductance by equating the two ...

A simple repetitive controller was proposed by Yamada et al. It works as a modified repetitive controller. The transfer functions from the periodic reference input to the output, and from the disturbance to the output have a finite number of poles, and the input–output characteristics and the disturbance attenuation characteristics can be specified easily. However, this method cannot be applied...