Abstract: A system for monitoring a physical environmental property having non-stationary heteroscedastic noise is disclosed. A processor receives physical environmental measurement data, and constructs a combined input and output noise levels matrix containing output noise terms associated with the physical environmental property and input noise terms associated with the at least one independent variable. Using the combined input and output noise levels matrix, the processor constructs a main Gaussian Processes (GP) model for the physical environmental property and its non-stationary heteroscedastic noise. The processor generates and co-operates with the output device to perceptibly output a predictive probabilistic representation of the environmental property, using the main GP model.

Abstract: A system for monitoring a physical environmental property having non-stationary heteroscedastic noise is disclosed. A processor receives physical environmental measurement data, and constructs a combined input and output noise levels matrix containing output noise terms associated with the physical environmental property and input noise terms associated with the at least one independent variable. Using the combined input and output noise levels matrix, the processor constructs a main Gaussian Processes (GP) model for the physical environmental property and its non-stationary heteroscedastic noise. The processor generates and co-operates with the output device to perceptibly output a predictive probabilistic representation of the environmental property, using the main GP model.

Abstract: A computer-based graphical user interface for graphically controlling processing of hydrological data, comprising a display menu interface listing executable tools from the group comprising one or more of: hydrological data input, hydrological data validity checking and correction, and hydrological modeling, a GUI for selecting and arranging tools from the display menu in a graphical display area to construct a hydrological process, the selected tools each being represented by icons on the graphical display, and for establishing a connection between at least one output of a first tool and an input of a second tool said tools by graphically displaying the connection between said tools representative icon and input means for receiving user input to arrange and execute said constructed hydrological data processing process.

Abstract: A computer-based graphical user interface for graphically controlling processing of hydrological data, comprising a display menu interface listing executable tools from the group comprising one or more of: hydrological data input, hydrological data validity checking and correction, and hydrological modeling, a GUI for selecting and arranging tools from the display menu in a graphical display area to construct a hydrological process, the selected tools each being represented by icons on the graphical display, and for establishing a connection between at least one output of a first tool and an input of a second tool said tools by graphically displaying the connection between said tools representative icon and input means for receiving user input to arrange and execute said constructed hydrological data processing process.

Abstract: A method for identifying anomalies in time series data, the method comprising the steps of computing parity vectors for one or more data points in a predetermined sample of data points in the time series, the parity vector representing redundancy between an estimated true value and an error term for each of the said one or more data points, evaluating the parity vectors to determine a set of the parity vectors in a selected direction; and evaluating a statistical distribution of the set according to a predetermined criterion to determine a data point to be corrected whose parity vectors satisfy the criterion in the distribution.

Abstract: The present subject matter relates to methodologies for providing error correction compensation to measurement systems. Data-dependant jitter may be compensated by examining both short-term and long-term bit histories after applying a predetermined synthesized calibration pattern having selected characteristics to the measurement system. Neural networks may be provided to produce error correction signals that may be applied to measured data on a bit-by-bit basis to correct jitter. The synthesized calibration sequence may correspond to a base pattern having two segments; a first segment may correspond to a copy of the base pattern while the second segment may be a copy of the base pattern with some sections inverted.

Abstract: The present subject matter relates to methodologies for providing error correction compensation to measurement systems. Data-dependant jitter may be compensated by examining both short-term and long-term bit histories after applying a predetermined synthesized calibration pattern having selected characteristics to the measurement system. Neural networks may be provided to produce error correction signals that may be applied to measured data on a bit-by-bit basis to correct jitter. The synthesized calibration sequence may correspond to a base pattern having two segments; a first segment may correspond to a copy of the base pattern while the second segment may be a copy of the base pattern with some sections inverted.