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...

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.

spectral decomposition of time series has a significant role in seismic data processing and interpretation. since the earth acts as a low-pass filter, it changes frequency content of passing seismic waves. conventional representing methods of signals in time domain and frequency domain cannot show time and frequency information simultaneously. time-frequency transforms upgraded spectral decompo...

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...

in the present study, a spectral finite element method is developed for free and forced transverse vibration of levy-type moderately thick rectangular orthotropic plates based on first-order shear deformation theory. levy solution assumption was used to convert the two-dimensional problem into a one-dimensional problem. in the first step, the governing out-of-plane differential equations are tr...

Quantum state tomography is a basic tool in quantum information, but it becomes challenging task that requires an immense number of measurement configurations as the system dimension grows. We implement adaptive compressive scheme capable reconstructing any arbitrary low-rank spectral-temporal optical signal with extremely few settings and without ad hoc assumption about initially unknown signa...