| The temporal structure of the force, or strain, signals from an internal force-torque sensor can be a rich source of information about robot/environment contact conditions. We present a procedure for representing and segmenting the individual signals with an auto-regressive model. This procedure produces segments of approximately constant spectrum, and is a powerful technique for detecting ab...

We introduce a novel texture description scheme and demonstrate it with our fast similarity search technique for content-based retrieval and navigation applications. The texture representation uses a combination of edge and region statistics. It is compared with the Multi-Resolution Simultaneous Auto-Regressive Model and Statistical Geometrical Features techniques using the entire Brodatz textu...

We discuss the classic auto regressive statistical models Box and Jenkins used in prediction problems, and their application is analyzed in the energy sector. Subsequently, we propose a methodology based on the application of these models for the prediction of electric power generation, from data obtained at a wind farm in Ventosa, Oaxaca. Finally, the model and the preliminary results obtained...

The revealed works of separation of speech signals, the most disadvantages is that the incidences of distortion speech at intervals the signal that affects separated signal with loud musical noise. The thought for speech separation in normal Blind Source Separation (BSS) ways in which is solely one sound supply in an exceedingly single area. The projected methodology uses as a network that has ...

The purpose of the present study is to look into the characteristics of the mean monthly total ozone time series over Arosa (46.8N/ 9.68E), Switzerland using statistical methodologies. In this paper, the time series pertains to the data between 1932 and 1971. The intrinsic deterministic patterns of the time series have been investigated through autocorrelation analysis. A second order Auto Regr...

This paper investigates the relationship between electricity consumption, economic classification and household income, by means of comparing Brazilian Census Micro-Data with the customer database of AES Eletropaulo, a large Brazilian electric distribution company, using traditional statistics and spatial auto-regressive models. Income and economic classification are recognized as efficient pro...

We extend the Bayesian framework to Multi-Layer Perceptron models of Non-linear Auto-Regressive time-series. The approach is evaluated on an artificial time-series and some common simplifications are discussed.

A powerful parametric spectral estimation technique, 2D-ARMA (Auto Regressive Moving Average) modeling, has been applied to contrast transfer function (CTF) detection in electron microscopy. Parametric techniques such as AR (auto regressive) and ARMA models allow a more exact determination of the CTF than traditional methods based only on the Fourier Transform (FT). Previous works revealed that...

This study develops a sedimentation process model that simulate the effects of inflow water quality, treatment flow rate and outflow water quality. The model uses transfer function ARIMA (Auto-Regressive Moving Average) for reflecting the dynamic characteristics of the system The sedimentation model for outflow water turbidity are separated into low and high turbidity by input variables, turbid...