Embodiments of the present invention provide a signal processing method and apparatus. The method includes: performing M-way filtering on an input signal to obtain M filtered signals, performing extraction on M filtered signals separately to obtain M extracted signals, performing fast Fourier transform (FFT) on the M extracted signals separately to obtain M frequency-domain signals, and finally determining output signals according to the M frequency-domain signals. According to the embodiments of the present invention, signal filtering and extraction are performed and then FFT is performed.

Disclosed are methods, systems, devices, apparatus, media, design structures, and other implementations, including a method for crest factor reduction (CFR) processing that includes receiving a first complex-valued sample of a signal for radio transmission, determining a resultant clipped complex-valued sample for the first complex-valued sample, resulting from projection of a second complex-valued sample, associated with the first complex-valued sample, into a selected one of a plurality of different tangent lines that are tangential to a circle representation with a radius h in a complex-valued plane, and processing the signal using the determined clipped complex-valued sample to produce a resultant CFR signal.

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.

Device (1) and method for detecting battery cell states, BZZ, and/or battery cell parameters, BZP, of at least one battery cell (BZ), comprising a dual Kalman filter (2) which includes a state estimator (2A) for estimating battery cell states, BZZ, and a parameter estimator (2B) for estimating battery cell parameters, BZP, and comprising a determination unit (3) which is suitable for determining noise components (n, v) of the state estimator (2A) and of the parameter estimator (2B) on the basis of a stored characteristic parameter behaviour of the battery cell (BZ), wherein the battery cell states, BZZ, and the battery cell parameters, BZP, can be adapted automatically to a specified battery model (BM) of the battery cell (BZ) by means of the dual Kalman filter (2) on the basis of the noise components (n, v) determined by the determination unit.

A Scalable Finite Impulse Response (SFIR) filter includes a pre-processing section, a post-processing section, and a finite impulse response (FIR) Matrix. The FIR Matrix is coupled to the pre-processing section and the post-processing section. The FIR Matrix includes a plurality of filter taps and a plurality of signal paths. Each filter tap of the plurality of filter taps has at least a first input, a second input, a multiplexer coupled to the first input and the second input, and a first flip-flop coupled to an output of the multiplexer. The plurality of signal paths are arranged to allow re-configurable data throughput between the each filter tap of the plurality of filter taps.

A Scalable Finite Impulse Response (SFIR) filter is disclosed. The SFIR filter includes a pre-processing section, a post-processing section, and a finite impulse response (FIR) Matrix. The FIR Matrix includes a plurality of filter taps and a plurality of signal paths in signal communication with each filter tap. The plurality of signal paths are arranged to allow re-configurable data throughput between the each filter tap and the pre-processing section and post-processing section are in signal communication with the FIR Matrix.

A Scalable Finite Impulse Response (SFIR) filter includes a pre-processing section, a post-processing section, and a finite impulse response (FIR) Matrix. The FIR Matrix is coupled to the pre-processing section and the post-processing section. The FIR Matrix includes a plurality of filter taps and a plurality of signal paths. Each filter tap of the plurality of filter taps has at least a first input, a second input, a multiplexer coupled to the first input and the second input, and a first flip-flop coupled to an output of the multiplexer. The plurality of signal paths are arranged to allow re-configurable data throughput between the each filter tap of the plurality of filter taps.

A Scalable Finite Impulse Response (SFIR) filter is disclosed. The SFIR filter includes a pre-processing section, a post-processing section, and a finite impulse response (FIR) Matrix. The FIR Matrix includes a plurality of filter taps and a plurality of signal paths in signal communication with each filter tap. The plurality of signal paths are arranged to allow re-configurable data throughput between the each filter tap and the pre-processing section and post-processing section are in signal communication with the FIR Matrix.

An object of the present invention is to provide a motor control device capable of estimating a delay with high accuracy even in a case where there is a fluctuation in disturbance torque or delay time and of suppressing the influence of the delay. For this end, the present invention includes a motor MTR, an ECU 2 that controls the rotation of the motor MTR, and an ECU 1 that sends a torque command to the ECU 2 based on a command value. The ECU 1 includes a disturbance estimation block 100 and a delay estimation block 200. The disturbance estimation block 100 estimates disturbance torque (?d) using a torque command input to the ECU 2 and a feedback value of the motor MTR. The delay estimation block 200 estimates a delay using a torque command output from the ECU 1, the feedback value of the motor MTR, and the disturbance torque (?d).

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.