A new robust identification framework that incorporates both time and frequency domain data is proposed. ¹his framework avoids situations where a good data fit in one domain leads to poor fitting in the other. Abstract—In this paper we propose a new robust identification framework that combines both frequency and time-domain experimental data. The main result of the paper shows that the problem...

in this paper, gaussian and elliptic high pass filters are analyzed for image sharpening qualitatively and quantatively . the filters are implemented in frequency domain using matlab software. experiments are performed to compare the performance of both the filters ,processed images are presented. the results demonstrate that elliptic yields better results.

We compare frequency-and time-domain formulations of deep-tissue fluorescence imaging of turbid media. Simulations are used to show that time-domain fluorescence tomography, implemented via the asymptotic lifetime-based approach, offers a significantly better separability of multiple lifetime targets than a frequency-domain approach. We also demonstrate experimentally, using complex-shaped phan...

In certain types of robust control techniques, it is common having to deal with control problems where the specifications, described in the time domain, need to be translated to the frequency domain. This usually happens in techniques, such as Quantitative Feedback Theory, where the control problem is developed in the frequency domain. Therefore, not only process plants and disturbances should ...

Endurance Time Acceleration Functions are specially predesigned intensifying excitation functions that their amplitude increases with time. On the other hand, wavelet transform is a mathematical tool that indicates time variations of frequency in a signal. In this paper, an approach is presented for generating endurance time acceleration functions (ETAFs) whose response spectrum is compatible w...

Prediction error techniques for joint identification of parametric transfer functions and noise models from measured data are considered. The time domain and frequency domain prediction error methods are presented and compared and their close connection with corresponding maximum-likelihood method is explored. Conditions are established under which the two techniques are asymptotically equivalent.

This technical report summarizes various key relationships in regards to continuous time and discrete time passive systems. It includes relationships for both the linear time invariant case and the non-linear case. For the linear time invariant case we specifically discuss relationships between minimal causal positive real strictly-positive real extended strictly-positive real systems and passi...

For some reason I now forget, Keith Glover and I were asked to prepare a discussion paper on frequency and time domain methods in system identi cation by the organizers of the IFAC symposium on System Identi cation in Darmstadt 1979. I visited Keith in Cambridge in April 1979 to prepare our paper. It later evolved into an Automatica arcticle. Since then, there has been a useful development of s...

The aim of this paper is to investigate a novel approach for output feedback damping controller design ofSTATCOM in order to enhance the damping of power system low frequency oscillations (LFO). The design ofoutput feedback controller is considered as an optimization problem according with the time domain-basedobjective function which is solved by a honey bee mating optimization algorithm (HBMO...

Physical-layer network coding (PLNC) has the ability to drastically improve the throughput of multi-source wireless communication systems. In this paper, we focus on the problem of channel tracking in a Decode-and-Forward (DF) OFDM PLNC system. We proposed a Kalman Filter-based algorithm for tracking the frequency/time fading channel in this system. Tracking of the channel is performed in the t...