A method and a device for updating a coefficient vector of a finite impulse response filter are provided. The update method includes: obtaining an updated step-size diagonal matrix for a coefficient vector of the FIR filter; and obtaining an updated coefficient vector of the FIR filter based on the updated step-size diagonal matrix.

A system identification device for performing fast real-time identification for a system from input/output data includes a filter robust to disturbance, by setting the maximum energy gain from the disturbance to a filter error, as an evaluation criterion, smaller than a given upper limit. The filter estimates a state estimation value of a state of the system.

A power management system may include an energy source and a generator driven by a gas turbine engine to output generator power to a common bus. A source power converter is electrically coupled between the energy source and the common bus. A controller circuitry includes an adaptive filter to filter a power signal indicative of power consumption of a variable load on the common bus, and outputs a filtered signal as a load demand signal to the generator. A source demand error signal is also output to control the source power converter to supply power from the energy source to the common bus. The controller circuitry is further configured to automatically adjust the adaptive low pass filter in accordance with the power consumption of the dynamic load and the load demand signal of the generator.

A method for adaptive signal processing is provided. In the method, a second vector is obtained by initializing a first vector without regularization of a cost function. The cost function is regularized with the first vector and the second vector as variables. The first vector is updated based on an input signal, according to the regularized cost function. Then, an output signal is provided based on the updated first vector. The second vector is updated based on the update of the first vector. An apparatus for adaptive signal processing is provided accordingly. The method and the apparatus are well compatible with existing adaptive signal processing. The convergence coefficients of the adaptive filter system become more stable. Moreover, impact of an extra penalty added to the cost function on a bias can be minimized, and the increased complexity of the system is very limited.

An adaptive filter calculates frequency domain coefficients and in the frequency domain dynamically adjusts a leakage/step size parameter that controls adaptation of the adaptive filter based on the calculated frequency domain coefficients (e.g., based on a peak magnitude of the coefficients among frequency bins or on the magnitude of the coefficient of the corresponding frequency bin). The adaptive filter calculates the coefficients based on frequency domain input and error signals, dynamically adjusts a frequency domain coefficient magnitude limit parameter based on the calculated frequency domain coefficients (e.g., approximately proportionally to a peak magnitude of the coefficients among frequency bins) and uses the dynamically adjusted frequency domain coefficient magnitude limit parameter to limit a magnitude of the calculated frequency domain coefficients. The limit may be engaged above a frequency bin based on the peak magnitude frequency bin. An ANC system may employ the filter.

Various examples related to automatically composing universal filters are presented. In one example, among others, a system includes processing circuitry that can organize data received by the system into clusters or quasi-orthogonal regions, which are organized based upon a centroid threshold distance. The data can be organized by applying a cluster and retain operation, a cluster and merge operation or a split and retain operation. The system can then determine filter weights based at least in part upon centers of the clusters; update a content addressable filter bank (CAFB) based upon the filter weights; and filter subsequently received data based upon the CAFB. In another example, a method includes receiving and organizing initial data into clusters or quasi-orthogonal regions; determining filter weights based at least in part upon centers of the clusters; updating a CAFB based upon the filter weights; and receiving and filtering subsequent data based upon the CAFB.

Disclosed are implementations, including a method that includes obtaining measurement samples relating to electrical operation of an electric motor drive providing power to an electric motor, deriving, based on the samples, instantaneous estimates for parameters characterizing speed and/or position of the motor according to an optimization process based on a cost function defined for the samples, and applying a filtering operation to the instantaneous estimates to generate filtered values of the motor's speed and/or position. The filtering operation includes computing the filtered values using the derived instantaneous estimates in response to a determination that a computed convexity of the cost function is greater than or equal to a convexity threshold value, and/or applying a least-squares filtering operation to the derived instantaneous estimates and using at least one set of previous estimates derived according to the optimization process applied to previous measurement samples.

A method for decreasing multi-path interference, for the implementation thereof in a vehicle radio receiver including a radio reception antenna that receives a plurality of radio signals corresponding to an emitted radio signal, the plurality of signals received by the antenna being composed of time-shifted radio signals, the plurality of signals being intended to be combined in order to deliver a combined radio signal z.sub.n to be played, with z.sub.n=W.sub.n.sup.TY.sub.n, the method aiming to determine the complex components of the vector of complex weights and including: introducing a temporal correlation, between the real and imaginary parts of the complex weights, that is dependent on the time shift between said received signals, by the expression of the complex weights in polar coordinates, implementing an iterative adaptation algorithm in order to determine the gains and delays of said complex weights able to keep constant over time the modulus of z.sub.n.

A method for decreasing multi-path interference, for the implementation thereof in a vehicle radio receiver including a radio reception antenna that receives a plurality of radio signals corresponding to an emitted radio signal, the plurality of signals received by the antenna being composed of time-shifted radio signals, the plurality of signals being intended to be combined in order to deliver a combined radio signal z.sub.n to be played, with z.sub.n W.sub.n.sup.TY.sub.n, the method aiming to determine the complex components of the vector of complex weights and including: introducing a temporal correlation, between the real and imaginary parts of the complex weights, that is dependent on the time shift between said received signals, by the expression of the complex weights in polar coordinates, implementing an iterative adaptation algorithm in order to determine the gains and delays of said complex weights able to keep constant over time the modulus of z.sub.n.

An adaptive processor implements partial updates when it adjusts weights to optimize adaptation criteria in signal estimation, parameter estimation, or data dimensionality reduction algorithms. The adaptive processor designates some of the weights to be update weights and the other weights to be held weights. Unconstrained updates are performed on the update weights, whereas updates to the set of held weights are performed within a reduced-dimensionality subspace. Updates to the held weights and the update weights employ adapt-path operations for tuning the adaptive processor to process signal data during or after tuning.