In this paper we address sequence estimation when the InterSymbol Interference (ISI) communication channel is unknown and time varying. We employ a Maximum A Posterior (MAP) approach, in which the unknown channel parameters are assigned a distribution and integrated out. For several channel models of interest we describe both the exact MAP estimator and Viterbi algorithm based implementations. ...

High speed machining provides high productivity and low cycle times. Post machining, there can exist differences between desired measured part geometry due to tool deflection induced from higher feedrates. Reducing the feedrate leads an increase in time. Using predicted drive responses on a virtual CNC with integrated surface location error model, this research is first time Iterative Learning ...

multi-spectral remotely sensed data is useful information source for the detection of surface changes and change detection is a major application of the remotely sensed data. this study is conducted to investigate capability of sensor liss-iii of irs-p6resource satellite data for providing land cover map, in najm abad of savojbolagh region with 20000 ha area. the images of 26th june, 2006 were ...

The Bayesian Learning approach (MAP Maximum A Posteriori) can be used for the incremental training of Continuous Density Hidden Markov Models (CDHMM), performed through speech data collected in real applications. The effectiveness of MAP is heavily conditioned by the correct balance between the a-priori knowledge and the field training data. In this paper we propose and evaluate several optimiz...

Background: A new method has been presented specifically for zoning the quality of groundwater for drinking purposes; this method is the groundwater quality index (GQI) method. The present research used the GQI method to qualitatively zoning of the Lenjan groundwater for drinking purposes. Methods: Three phases were applied in this research. In the first phase, working on the quality data of 3...

A general method is examined, which unifies the eigenvoice approach [1, 2, 4] and MAP adaptation. The a priori distribution for MAP is chosen to be anisotropic with the eigenvoices as preferred directions while still allowing adaptation into all other directions. This allows the exploitation of a priori knowledge about typical speaker variability within the MAP framework. This approach has two ...

In this paper a framework for maximum a posteriori (MAP) estimation of hidden Markov models (HMM) is presented. Three key issues of MAP estimation, namely the choice of prior distribution family, the specification of the parameters of prior densities and the evaluation of the MAP estimates, are addressed. Using HMMs with Gaussian mixture state observation densities as an example, it is assumed ...

Use of reliable density maps is crucial for rapid and successful crystal structure determination. Here, the averaged kick (AK) map approach is investigated, its application is generalized and it is compared with other map-calculation methods. AK maps are the sum of a series of kick maps, where each kick map is calculated from atomic coordinates modified by random shifts. As such, they are a num...

Speaker verification is a binary classification task to determine whether a claimed speaker uttered a phrase. Current approaches to speaker verification tasks typically involve adapting a general speaker Universal Background Model (UBM), normally a Gaussian Mixture Model (GMM), to model a particular speaker. Verification is then performed by comparing the likelihoods from the speaker model to t...

Rotary ultrasonic machining is one of the nontraditional machining processes for advanced ceramics. Currently available in literature are publications on theoretical and experimental studies on material removal rates in rotary ultrasonic machining. However, there is no report on the systematic study of the cutting force in rotary ultrasonic machining. Furthermore, the effects of some process pa...