Ocean acoustic sound speed profile (SSP) estimation requires the inversion of acoustic fields using limited observations. Compressive sensing (CS) asserts that certain underdetermined problems can be solved in high resolution, provided their solutions are sparse. Here, CS is used to estimate SSPs in a range-independent shallow ocean by inverting a non-linear acoustic propagation model. It is sh...

Gait speed is an important feature in many health applications. To obtain this information, a machine-learning approach is often preferred to first principle modeling for its generality in dealing with systematic errors. In this approach, extracting predictive features is critical to the estimation accuracy. Therefore, identifying and extracting highly correlated features for gait speed estimat...

This paper describes a tempo estimation system submitted to MIREX 2013. The proposed algorithm detects onsets from harmonic/percussive-separated audio. Perceptual tempo is modeled in a multiple linear regression as a function of onset densities, difference in sound level of the harmonic and percussive part, IOIs of clustered components, as well as spectral fluctuations. Periodicity histograms a...

This paper presents a speed estimation method using neural networks (NN) in a vector controlled (VC) induction motor drive. The estimation algorithm is implemented using a Jordan recurrent NN structure where training of the NN is done online using back-propagation algorithm. Two back emf models are used in order to realize the reference and the adaptive models from which depending upon the spee...

During the last decade, speed sensorless field-oriented control of induction motor has given a particular attention by researchers worldwide and a great number of papers have been published on this issue. In most of them, the authors proposed the speed estimation algorithms based on Kalman filter theory, neural networks and model of reference. In indirect vector control strategy, the accurate k...

In this paper, a detailed study on the Model Reference Adaptive Controller is presented for online estimation of Rotor Time constant and speed for indirect field oriented control Induction Motor Drive with MRAC. This MRAC consists of two models. The first is Reference Model and other one is Adjustable Model. One model is independent of slip speed and other one is dependent on slip speed. The MR...

The huge amount of handoffs generated b y microcells c r ea t e s a problem for the future PCN. To alleviate the problem, we p ropose a hierarchical cellular s y s t e m which comprises cells of different sizes. Ideally, one would like t o use large cells to serve high-mobili ty users. A challenging issue is to obtain a good estimate of the user speed. In this paper, a simple speed est imation ...