1153 results about "Linear system" patented technology

An image matching method and system for use with multiple images of a scene captured from different angles. Image matching is performed by identifying a plurality of segments within at least two images, determining an initial disparity values for pixels in the images and then determining initial disparity planes for the segments by fitting a plane to initial disparity values for the segments. A refined disparity plane set is created by iteratively refitting the disparity planes by using various fitting cost functions and weighted linear systems. A labeling of each segment to a disparity plane is made by minimizing a global energy function that includes energy terms for segment to disparity plane matching as well as penalizing disparity plane discontinuities between adjacent image segments.

A method for the estimation of the state variables of nonlinear systems with exogenous inputs is based on improved extended Kalman filtering (EKF) type techniques. The method uses a discrete-time model, based on a set of nonlinear differential equations describing the system, that is linearized about the current operating point. The time update for the state estimates is performed using integration methods. Integration, which is accomplished through the use of matrix exponential techniques, avoids the inaccuracies of approximate numerical integration techniques. The updated state estimates and corresponding covariance estimates use a common time-varying system model for ensuring stability of both estimates. Other improvements include the use of QR factorization for both time and measurement updating of square-root covariance and Kalman gain matrices and the use of simulated annealing for ensuring that globally optimal estimates are produced.

The system described herein determines an input command profile for a dynamic system that can be modeled as a linear system, the input command profile for transitioning an output of the dynamic system from one point to another point. The system identifies characteristics of the dynamic system, and then selects a command profile which defines an input to the dynamic system based on the identified characteristics. The command profile comprises one or more pulses which rise and fall at switch times, and the command profile is useable with substantially any dynamic system that can be modeled as a linear system. The system then imposes a plurality of constraints on the dynamic system, at least one of the constraints being defined in terms of the switch times, and determines the switch times for the input to the dynamic system based on the command profile and the plurality of constraints.

The invention relates to a self-adaptive index time varying slip form posture control method of a reentry flight vehicle, belonging to the technical field of flight vehicles. The method comprises the steps of firstly establishing a posture motion equation in a mode that a powerless reentry flight vehicle model is used as an object; secondly modifying the equation into the mode of an MIMO (Multiple Input Multiple Output) affine non-linear system, further applying a feedback linearization principle to carry out linearization processing so as to obtain a three-channel linearization model of pitching, rolling and yawing; aiming at the obtained linearization system, designing a modified self-adaptive index time varying slip form controller; and subsequently obtaining a control moment instruction for the posture control of the reentry flight vehicle, and inputting the control moment instruction into the reentry flight vehicle so as to control the posture. By combining the index time varying slip form control with a self-adaptive method, the problem of excessive adaptation of switch gain in the self-adaptive slip form control is solved to a certain extent, the uncertainty of system parameters and the influence of external disturbance can be suppressed effectively, and the precise posture control is realized.

Non-linear interference cancellation techniques are provided for wireless transceivers. Non-linear reduction of interference of a transmit signal on a received signal in a transceiver device, comprises applying the transmit signal to a first non-linear system; applying the received signal to a second non-linear system; and subtracting an output of the first non-linear system output from an output of second non-linear system output to produce an interference mitigated received signal. The first non-linear system and/or the second non-linear system can be to implemented using one or more of a Volterra series and a Generalized Memory Polynomial Model. System parameters of the first non-linear system and/or the second non-linear system are adapted to reduce a power of the interference mitigated received signal.

In accordance with the aspects of the present disclosure, a method and apparatus is disclosed for imaging interferometric microscopy (IIM), which can use an immersion medium to enhance resolution up to a resolution of linear systems resolution limit of λ/4n, where λ is the wavelength in free space and n is the index of refraction of a transmission medium.

An improved forward-masking method of recording and processing neural responses (“NR”) is provided, wherein the method does not assume a linear system response and does not assume a linear response at the interface between electrodes and tissue. The method of the present invention cancels out non-linearities and/or system hysteresis. Other artifacts such as system cross-talk between stimulation and recording circuits are also canceled out.

The present invention is directed to a method, computer program product, and system for performing physics simulations on at least one graphics processor unit (GPU). The method includes the following steps. First, data representing physical attributes associated with at least one mesh are mapped into a plurality of memory arrays to set up of a linear system of equations that governs motion of the at least one mesh depicted in a scene. Then, computations are performed on the data in the plurality of memory arrays using at least one pixel processor to solve the linear system of equations for an instant of time, wherein modified data representing the solution to the linear system of equations for the instant of time are stored in the plurality of memory arrays.

Animation techniques for producing physically-realistic animation while providing the interactivity and control desired by animators. Techniques are provided specifying animation for motion problems that give rise to quadratic optimization functions solvable with linear systems of equations. The resultant splines generalize traditional splines to encompass oscillatory solutions. These problems can be solved at full frame rates, giving animators a keyframe animation tool. Such a formulation is able to address a wide range of oscillatory phenomena while retaining the interactive performance and predictability of traditional splines. The splines may be complex-valued.

A non-linear alignment method of a strapdown inertial navigation system comprises the following steps of: acquiring data of an accelerometer and a fiber gyroscope of the fiber strapdown inertial navigation system and carrying out denoise processing, realizing coarse alignment and fine alignment processes by the utilization of an analysis method and a compass method, establishing a quaternion-based strapdown inertial navigation system non-linear error model under the condition that attitude angle and azimuth angle are both large misalignment angles, establishing an observation model with speed as observed quantity, carrying out iterative and filter estimation by the use of an improved UKF algorithm on the basis of the model so as to obtain the misaligned angle of the platform, continuously carrying out closed-loop feedback and correcting attitude matrix of the strapdown inertia system in the previous period, so as to accurately complete the initial alignment process. The method can be used to guarantee safety and confidentiality of the initial alignment without the utilization of other sensor information. By the introduction of the quaternion error based non-linear system error model, linearization is not required to guarantee the precision of the model. Computational complexity is reduced, and filtering is carried out on the established non-linear system so as to complete fine alignment.

A system and method for encoding zero and one bits for transmission, including generating a first signal from a non-linear chaotic system to represent the one bit, with the signal's embedded vectors being within the non-linear system's attractor set, and generating a second signal from the non-linear system to represent the zero bit, with the signal's embedded vectors being outside the non-linear system's attractor set. The second signal encoding the zero bit can be generated by adding together two chaotic signals arising from the non-linear system initialized with different initial conditions, and weighting the second signal to have approximately the same energy as the first signal. One suitable chaotic systems is a Lorenz system. Systems and methods for decoding a transmitted stream of signals compare a detection statistic of the received stream of signals to a threshold value that depends on the chaotic system.

The invention discloses an oil deposit inter-well dynamic connectivity inverting method. The oil deposit inter-well dynamic connectivity is obtained by adopting oil deposit injection and withdrawal dynamic data inverting based on signal processing technology. Firstly a multiple regression model of oil deposit inter-well dynamic connectivity is established, a first order linear system convolver is built according to the transmission characteristic of injectivity signal in oil deposit, the convolver is applied to pre-treatment on the injectivity signal, genetic algorithm is induced into optimization solution of inverting model, systematic training is carried out on parameters to be optimized, and inverting is carried out to obtain connectivity factor representing oil deposit inter-well dynamic connectivity and time constant representing time delay and attenuation properties of the injectivity signal. The invention has strong practicability and high universality, is mainly used for evaluating oil deposit inter-well dynamic connectivity and further guides oil-field development scheme formation and production optimization.

A linear model based generalized predictive control system controls the molten pool temperature during a Direct Metal Deposition (DMD) process. The molten pool temperature is monitored by a two-color pyrometer. A single-input single-output linear system that describes the dynamics between the molten pool temperature and the laser power is identified and validated. The incremental generalized predictive control algorithm with Kalman filter estimation is used to control the molten pool temperature.

A beam-forming apparatus and method for improving system performance using a spatial interpolation and at least one Angle of Arrival (AoA) in a system based on regular spatial sampling is provided. The AoA is estimated using a carrier-to-interference ratio. Beam-forming angles are distributed and steered in a predefined scheme such that an identical process is applied in all directions. According to this steering, a linear system model is computed based on regular spatial sampling using regular spatial separation at beam angles. Beam-forming performance is improved by compensating for a difference between adaptive and sector-type arrays. Only the steps of computing a spatial interpolation and determining an angle range for beam-forming using at least one AoA are added. The precision of estimating an AoA and the precision of beam-forming increase without an additional antenna. Because the system is simpler than that of an adaptive beam-forming system, significant gain is obtained.

The invention discloses a method for adjusting face plumpness in an image. The method comprises the following steps of: establishing a three-dimensional face model; acquiring 54 feature points of a face from the established three-dimensional face model; adjusting the positions of the acquired 54 feature points according to a linear regression equation of the soft tissue thickness of the face feature points about age and weight and plumpness adjusting parameters input by a user; establishing a full rank linear system by adopting a Laplacian deformation algorithm and using the position-adjusted 54 feature points serving as a constrained point set and the face apex in the three-dimensional face model, and solving a linear equation set to obtain an adjusted three-dimensional face model; performing triangular mesh parameterization on the original image; and changing the position of a triangular mesh apex of the original image under the drive of the adjusted three-dimensional face model, and performing texture mapping to obtain an adjusted image. By adopting the Laplacian deformation technology for keeping detail features, the face plumpness is adjusted, and most detail feature information on the face is kept at the same time.

A roll-on/roll-off, aircraft-borne sensor pod deployment system having an operator station and a sensor pallet system and method of using same. The operator station has a base platform, a shelter box mounted on the base platform for accommodating a human operator, and a computer installed inside the shelter box. The sensor pallet system has a base platform, a linear system mounted on the base platform, a rotational system mounted on the linear system, a mechanical arm attached to the rotational system, a sensor pod attached to the mechanical arm, and an electrical control system that provides power to the deployment system and controls movements of the sensor pallet system. In operation, the sensor pod can be retracted into a compact, stowing position, or extended out an opening in the aircraft for an unobstructed field of view. The deployment system optionally includes an apparatus and method for sealing the aircraft opening.

A system and method for rendering a virtual sound source using a plurality of speakers in an arbitrary arrangement includes expanding a wave field of the virtual sound source and a composite wave field generated by the plurality of speakers into multi-pole expansions, and equating the multi-pole expansions to each other to form a continuous equation. A set of constraints is applied to the continuous equation that minimize an error in a sweet spot region resulting in a linear system of equations. The linear system of equations is solved using singular-value decomposition to arrive at a pseudo-inverse representing a multi-dimensional transfer function between the virtual sound source and the plurality of speakers. The multi-dimensional transfer function is then applied to a signal of the virtual sound source to render the virtual sound source in the sweet spot region using the plurality of speakers in the arbitrary arrangement.

A method and apparatus are provided for formation of a composite material on a substrate. The composite material includes carbon nanotubes and/or nanofibers, and composite intrinsic and doped silicon structures. In one embodiment, the substrates are in the form of an elongated sheet or web of material, and the apparatus includes supply and take-up rolls to support the web prior to and after formation of the composite materials. The web is guided through various processing chambers to form the composite materials. In another embodiment, the large scale substrates comprise discrete substrates. The discrete substrates are supported on a conveyor system or, alternatively, are handled by robots that route the substrates through the processing chambers to form the composite materials on the substrates. The composite materials are useful in the formation of energy storage devices and/or photovoltaic devices.

The invention provides a multi-node access detection and channel estimation method of an MMTC system based on deep learning. The method comprises the following steps: determining a pilot frequency sequence of each node according to a modulation scheme adopted by the MMTC, and determining the channel impulse response of each node; generating input data according to certain node activity, further generating a training set and a verification set for training a depth neural network and a test set for testing model performance, designing DNN and BRNN models for detecting active users, performing simulation verification, and performing channel estimation by solving a linear system of equations via a least square method according to a user activity detection result of the model. By adoption of the channel estimation method provided by the invention, under different pilot frequency lengths and different numbers of active users, the accuracy of user access detection is higher than that of the traditional method, and the time of the node access detection is greatly shortened.

The invention relates to a command filtering backstepping control method based on an interference observer. An anti-interference non-linear controller is designed according to a multi-source interference non-linear system. The command filtering backstepping control method comprises the following steps of firstly building a non-linear mathematical model of a multi-source interference system; secondly designing equivalence interference in an estimation system of the non-linear system interference observer; then substituting equivalence interference estimated values obtained from the non-linear system interference observer into a command filtering backstepping controller, building the command filtering backstepping controller; and finally using a pole allocation method to design command filtering backstepping controller gain and non-linear interference observer gain for guaranteeing a closed loop composite error system to asymptotically be stable. The command filtering backstepping control method is strong in anti-interference capability, and can be applied to anti-interference control for systems such as aircrafts, mechanical arms, biochemical processes and ships.

The invention discloses a robust controller of a permanent magnet synchronous motor based on a fuzzy-neural network generalized inverse and a construction method thereof. The construction method of the invention comprises the following steps of: combining an internal model controller and a fuzzy-neural network generalized inverse to form a compound controlled object; serially connecting two linear transfer functions and one integrator with the fuzzy-neural network with determined parameters and weight coefficients to form the fuzzy-neural network generalized inverse, serially connecting the fuzzy-neural network generalized inverse and the compound controlled object to form a generalized pseudo-linear system, linearizing a PMSM (permanent magnet synchronous motor), and decoupling and equalizing the linearized PMSM into a second-order speed pseudo-linear subsystem and a first-order current pseudo-linear subsystem; and respectively introducing an internal-model control method in the two pseudo-linear subsystems to construct the internal model controller. The robust controller of the invention has the advantages of overcoming the dependence and local convergence of the optimal gradient method on initial values and solving the problems of randomness and probability caused by using the simple genetic algorithm, obtaining the high performance control, anti-disturbance performance and adaptability of the motor and simplifying the control difficulty, along with simple structure and high system robustness.

A method and apparatus are disclosed for high-sensitivity Single-Photon Emission Computed Tomography (SPECT), and Positron Emission Tomography (PET). The apparatus includes a two-dimensional (2D) gamma detector array that, unlike a conventional SPECT machine, moves to different positions in a three-dimensional (3D) volume space near an emission source and records a data vector g which is a measure of gamma emission field. In particular, the 3D volume space in which emission data g is measured extends substantially along a radial direction r pointing away from the emission source, and unlike a conventional SPECT machine, each photon detector element in the 2D gamma detector array is provided with a very large collimator aperture. Data g is related to the 3D spatial density distribution f of the emission source, noise vector n, and a system matrix H of the SPECT/PET apparatus through the linear system of equations g=Hf+n. This equation is solved for f by a method that reduces the effect of noise.