In this paper, an application of modulating functions method for estimation of the frequency of noisy sinusoids, is proposed. The unknown frequency is updated by introducing a recursive algorithm which is independent by the choice of the modulating functions type. The proposed recursive estimation formula is able to take into account possible abrupt changes or sweep in the frequency of the sinu...

Although the liver's function as unique immune organ regulating immunity has received a lot of attention over the last years, the mechanisms determining hepatic immune surveillance against infected hepatocytes remain less well defined. Liver sinusoidal cells, in particular, liver sinusoidal endothelial cells (LSECs) and Kupffer cells (KCs), serve as physical platform for recruitment and anchori...

the study of wave and its propagation on the water surface is among significant phenomena in designing quay, marine and water structures. therefore, in order to design structures which are exposed to direct wave forces, it is necessary to study and simulate water surface height and the wave forces on the structures body in different boundary conditions. in this study, the propagation of static ...

The problem of handwritten digit recognition is tackled by multi-layer feedforward neural networks with different types of neuronal activation functions. Three types of activation functions are adopted in the network, namely, the traditional sigmoid function, the sinusoidal function and a periodic function that can be considered as a combination of the first two functions. To speed up the learn...

In this paper, the performance of the recently proposed adaptive signal models on modeling speech voiceless stop sounds is presented. Stop sounds are transient parts of speech that are highly non-stationary in time. State-of-the-art sinusoidal models fail to model them accurately and efficiently, thus introducing an artifact known as the pre-echo effect. The adaptive QHM and the extended adapti...

Multi-resolution sinusoidal modeling is a method of representing audio signals as a sum of discrete sinusoids having various durations, and time-varying frequencies, phases, and amplitudes. This paper discusses the motivation for the multiresolution sinusoidal model (MRSM) and various structures used to compute it. A new filter-bank analysis structure is presented that is simpler than previous ...

The transient motion and the heat transfer of a viscous incompressible flow contained between two vertically eccentric spheres maintained at different temperatures and rotating about a common axis with different angular velocities is numerically considered when the angular velocities are an arbitrary functions of time. The resulting flow pattern, temperature distribution, and heat transfer char...

Abstract: One of the equipment that can help improve distribution system status today and reduce the cost of fault time is remote control switches (RCS). Finding the optimal location and number of these switches in the distribution system can be modeled with various objective functions as a nonlinear optimization problem to improve system reliability and cost. In this article, a particle swarm ...

The exponential sinusoidal model (ESM) for parameterizing speech signals is proposed in this paper. The main feature of the ESM is that the amplitude of each sinusoidal component is allowed to vary exponentially with time. A novel variable segmentation strategy is applied first to separate individual transients of a voiced phoneme, which can then be fitted with the ESM. The epoch of a transient...