A method and apparatus to compensate for distortion of a waveform due to the skin effect in a current shunt. The method includes modeling the complex impedance of the shunt as component complex impedances. By designing a filter corresponding to the component complex impedances, the distortion of a waveform across the shunt may be reversed to provide an accurate replica of the undistorted waveform.

The disclosure provides a method for controlling a drive arrangement for a flap of a vehicle by a control arrangement, wherein in a measuring routine a measured movement value is measured by a movement measuring system. It is proposed that in an estimation routine an estimated movement value is estimated, in a movement routine the estimated movement value is determined via the estimation routine and the flap is adjusted according to a set movement value, in a correction routine the estimated movement value is determined from the estimation routine and an estimation error is determined and from the estimated movement value and according to a correction specification the set of model parameters is corrected based on the estimation error and supplied to the estimation routine and in the correction routine the correction of the set of model parameters is performed for a part section of the motorized movement cycle.

According to embodiments described herein, there is provided methods and apparatus for providing a driving signal to a transducer, wherein the driving signal is output by an amplifier. A method comprises receiving an indication of a voltage and a current of the driving signal; based on an electrical model of the transducer and the voltage and the current of the driving signal, estimating an estimated electrical response of the transducer representative of movement of a mass in the transducer; comparing the estimated electrical response to a desired electrical response; and controlling the driving signal based on the comparison.

Convolutional neural network information may define a convolutional neural network including layers. The layers may define operations on an input to the convolutional neural network. The layers in the convolutional neural network information may be formatted as shaders. Input information defining the input to the convolutional neural network may be accessed. The input information may be formatted as an array of textures. The shaders may be applied to the textures to effectuate processing the input to the convolutional neural network through the layers of the convolutional neural network. One or more results may be obtained from applying the shaders to the array of textures.

This disclosure describes techniques for providing a transformative framework to forecast physical properties of an atmosphere to predict the orbit of satellite devices. As one example, the transformative framework has two major components: (i) the development of a quasi-physical dynamic reduced-order model (ROM) that uses a linear approximation of the underlying dynamics (e.g., solar conditions or magnetic conditions) and effect of the drivers, and (ii) data assimilation and calibration of the ROM through estimation of the ROM coefficients that represent the model parameters.

Provided is a digital filter circuit in which a filter coefficient can be easily changed, for which circuit scale and power consumption can be reduced, and which carries out digital filter processing in a frequency domain. This digital filter circuit includes: a separating circuit for separating a first complex number signal, of a frequency domain that was subjected to Fourier transform, into a real number portion and an imaginary number portion; a filter coefficient generating circuit for generating a first frequency domain filter coefficient from a first input filter coefficient and a third input filter coefficient, and for generating a second frequency domain filter coefficient from a second input filter coefficient and the third input filter coefficient; a first filter that filters the separated real number portion using the first frequency domain filter coefficient; a second filter that filters the separated imaginary number portion using the second frequency domain filter coefficient; and a combining circuit for combining the output from the two filters.

A method determines the total mass of an automotive vehicle on the basis of data of a communication network and parameters of the vehicle, in which an estimation of the total laden mass (mv,est) of the vehicle, of the speed of the vehicle (vest) and of the slope of the road (est) is determined at an instant (k) by applying the fundamental equation of dynamics and as a function of the values of the total mass of the vehicle, of the speed of the vehicle and of the slope of the road at a previous instant (k1).

Methods and apparatuses for determining operational parameters of a blood pump comprising a rotor which transports the blood are provided. The change in the behaviour of at least one first and one second operational parameter, independently from each other, of the pump, is determined. A determination of the flow through the pump and/or the difference in pressure across the pump and/or the viscosity of the blood takes into account the determined change in behaviour of the at least two operational parameters. A modelling for a dynamic model of the known quantities may be carried out and an estimation method using a Kalman filter may be used.

Convolutional neural network information may define a convolutional neural network including layers. The layers may define operations on an input to the convolutional neural network. The layers in the convolutional neural network information may be formatted as shaders. Input information defining the input to the convolutional neural network may be accessed. The input information may be formatted as an array of textures. The shaders may be applied to the textures to effectuate processing the input to the convolutional neural network through the layers of the convolutional neural network. One or more results may be obtained from applying the shaders to the array of textures.

The invention relates to the real-time determination of the forces applied by waves incident upon the moving part (2) of a wave-energy system (1). The method according to the invention is based on the construction of a model of the radiation force applied to the moving part (2) and a model of the dynamics of the wave-energy system (1). The invention uses only measurements of the kinematics of the moving part (2) and the force applied by the conversion machine (3) to the moving part (2).