35results about How to "Reduce the degree of non-linearity" patented technology

The invention discloses a radar tracking method based on coordinate rotation transformation. The method is based on the correlation coefficient of random variables and a coordinate rotation transformation principle so as to achieve the degree of nonlinearity of a measurement equation in a model of a quantitative measurement radar filtering system, reduce the degree of nonlinearity of the measurement equation in the model of the radar filtering system and further improve a radar tracing effect. The method comprises the following specific steps of defining two-dimensional radar measurement polar-rectangular coordination conversion linearity rho; getting a maximum value when the rho exists through coordinate rotation transformation when r0, sigma r and sigma a are any certain numerical values; setting a target motion state and performing filtering initialization; analyzing the target motion state from k time to k plus 1 time and establishing the measurement equation of a state equation under a coordinate rotation transformation filtering model; selecting a filtering algorithm to filter under the coordinate rotation transformation filtering model to get an estimated value in the target state at the k plus 1 time; and ending up tracking till the set radar tracking time length is reached.

The invention discloses a multi-phase structure of a two-channel orthogonal mirror image filter bank and a coefficient design method of thereof. At present, most known two-channel QFMB design methodsare optimization design of prototype filter coefficients, and do not pay much attention to reduction of hardware implementation complexity of a QMFB structure. The multi-phase structure of the two-channel orthogonal mirror image filter bank comprises an H0 module, an M (z) module, q modules, a module connecting part, a main input port Input, a main output port Output0 and a main output port Output1. According to the multi-phase structure of the two-channel QMFB analysis filter bank part provided by the invention, a traditional QMFB prototype filter coefficient is converted into a form of an extrapolation pulse response filter, and LU decomposition is adopted, so that more 0 and 1 exist in the coefficient, and multiplier and adder resources are saved.

The invention relates to a graphene field effect transistor, in particular to a manufactured method of a transistor based on the graphene field effect. According to the method, metal gas source Ga ions are used for illuminating the surface of graphene, hole doping is carried out on the graphene, the Ga ions can lead pressure stress into the graphene, and the heat generated by illumination has an annealing function for the graphene. For the transistor based on the modified graphene field effect, the annealing function relieves the output nonlinearity of the field effect transistor, the led-in pressure stress opens the energy band structure of the graphene, the switch ratio of the graphene field effect transistor is improved, and the application of the field effect transistor in a logic circuit is promoted.

The invention discloses a prestack hybrid nonlinear inversion method and a computer readable storage medium. The method may include the following steps that: prestack linear inversion is performed onprestack seismic data so as to obtain the initial value of a transverse wave reflection coefficient and the initial value of a transverse wave velocity-to-longitudinal wave velocity ratio; a combinedelastic parameter is constructed based on the transverse wave reflection coefficient, the transverse wave velocity-to-longitudinal wave velocity ratio, and a density gradient; a prestack longitudinalwave reflection coefficient formula is expressed as a linear equation about the density gradient, a longitudinal wave reflection coefficient and the combined elastic parameter, linear solution is performed on the prestack longitudinal wave reflection coefficient formula, so that the density gradient, the longitudinal wave reflection coefficient and the combined elastic parameter are obtained; andan objective function about the transverse wave reflection coefficient and the transverse wave velocity-to-longitudinal wave velocity ratio is constructed, and linear solution is performed on the objective function, so that a final transverse wave reflection coefficient and a final transverse wave velocity-to-longitudinal wave velocity ratio are obtained. According to the prestack hybrid nonlinearinversion method and the computer readable storage medium of the invention adopted, a traditional four-parameter nonlinear problem is degraded into a two-parameter nonlinear problem, and therefore, various elastic parameters can be obtained with high efficiency and high precision.

The invention discloses an application of employing N and Mo for improving temperature-sensitive characteristics of oxidized graphene. No2 and MoCl3 are employed as doping sources for the doping of the oxidized graphene, and the energy band structure of doped graphene after doping is changed. Moreover, the constraint capability for a functional group is also changed, and the resistance-temperature characteristics of an oxidized graphene material are improved. The method provided by the invention can remarkably reduce the nonlinearity degree of the specific resistance of the oxidized graphene for temperature change, and can enable a corresponding oxidized graphene temperature sensor to obtain a large temperature effective measurement range. The method can remarkably reduce the specific resistance of the oxidized graphene in indoor temperature and low temperature regions, increases feedback currents in the indoor temperature and low temperature regions, and improves the measurement precision. The method carries out subsequent processing after the preparation of the oxidized graphene, which causes no conflict with a specific preparation process of the oxidized graphene. The application is a characteristic enhancement scheme for an oxidized graphene finished product, so the application is high in applicability.

The invention discloses a fast RDOQ quantization zero coefficient proportion estimation method. In order to embody the difference of the different position coefficients, the invention defines a different weighting coefficient for the different position coefficients, constructs the weighting coefficient as a function of the position adaptive dead-time offset delta, and weights SATD, namely WSATD, based on this metric. Considering the complexity of RDOQ algorithm, only considering q and WSATD is not enough to construct accurate Rho model. Assuming Chi = WSATD/q, it is found that different Chi samples have different values of rho, and the invention takes the mean value theta of Chi as another characteristic parameter for constructing rho model. In the HEVC encoder, there are different types of transform blocks (TU), and in order to distinguish this difference, the present invention models the different types of TU blocks separately. Finally, the three-dimensional Rho model is constructedby using the statistical analysis curve fitting method. Through this model, the zero coefficient ratio Rho after RDOQ can be estimated quickly.

The invention belongs to the technical field of mathematical modeling and approximation analysis of engineering systems, and particularly relates to a distributed collaborative agent model method forapproximation analysis of a complex engineering structure system. According to the method, a composite engineering structure system with large-scale parameters and high nonlinearity is classified intoa composite function, an engineering structure system approximation problem is converted into a composite function approximation problem, and the composite function approximation problem is decomposed into an approximation problem of a plurality of levels of sub-functions with few parameters and low nonlinearity; a corresponding sub-agent model for each sub-function of each level is established,and sub-function approximation is performed; a collaborative agent modelis built according to the relationship between each sub-function and each hierarchical function; composite function multi-levelmulti-sub-model collaborative approximation analysis is carried out based on the collaborative agent model; through the decomposition coordination strategy, composite function approximation analysis is realized, the approximation precision can be improved, and the analysis efficiency is improved.

The invention discloses a decoupled semi-linearization optimal power flow model based on a warm start environment. The method includes: firstly, performing polynomial fitting on trigonometric functionterms in a power balance equation, and decoupling a voltage amplitude and a phase angle by employing operation characteristics of a system; then performing linearization processing on quadratic termsof the phase angle through the mode of Taylor series expansion; and finally obtaining the semi-linearization optimal power flow model with linear voltage phase angle and non-linear amplitude by regarding a result of a direct current optimal power flow model based on a power loss equivalent load as an operating point of Taylor series expansion of the quadratic terms of the phase angle. According to the semi-linearization optimal power flow model, the problem of dependence on the operating environment by warm start models is well solved, and the calculating precision of the linearization modeland the adaptability to a large system are improved.

The invention relates to an engineering structure reliability evaluation method based on a distributed hybrid collaborative agent model. The method comprises the following steps: decomposing an engineering structure into a plurality of subsystem layers; selecting a random input variable of the engineering structure sub-object in the lowest sub-system layer, and obtaining an input sample of the random input variable; establishing a finite element model of the engineering structure sub-objects in the lowest sub-system layer, and obtaining output indexes of the engineering structure sub-objects;building different types of agent models of the engineering structure sub-objects in the lowest subsystem layer, using the agent model with the highest precision as the optimal agent model of the engineering structure sub-objects in the lowest subsystem layer, obtaining the optimal agent model of the engineering structure upwards layer by layer, and performing reliability evaluation. Compared withthe prior art, the invention has the advantages that the overall complex structure is decomposed into the sub-objects distributed at multiple levels, the sub-object parameter amount is reduced, the nonlinear degree is reduced, the calculated amount is reduced, and the approximation precision and simulation speed of the engineering structure agent model are improved.

The invention discloses a random optimization method for unit output and a topological structure of an alternating-current and direct-current system. The random optimization method comprises the following steps: S1, constructing an optimization model; S2, setting the states of all branch switches in the optimization model as a closed state; S3, decomposing the optimization model obtained after processing in the step S2 into a plurality of sub-models, wherein each sub-model only contains one N1 fault or does not contain any fault; s4, solving each sub-model to obtain a solving result of the first-stage optimization model; S5, obtaining an effective switch set according to the solving result of each sub-optimization model; s6, setting the states of other switches except the effective switch in the optimization model constructed in the step S1 as a closed state to obtain a second-stage optimization model; and S7, solving the second-stage optimization model to obtain a final topological structure and unit output combined optimization result. The method can simultaneously and efficiently optimize the output and topology of the AC/DC system unit, and has the advantages of high calculation efficiency and the like.

The invention discloses a reduced-order kernel function-based high-order polynomial phase signal parameter estimation method, and aims at solving the technical problem that the existing high-order polynomial phase signal parameter estimation method is low in estimation precision. The method is realized through the following steps of: uniformly sampling white Gaussian noise-mixed high-order polynomial phase signals to obtain a phase signal sequence; constructing a reduced-order kernel function of the phase signal sequence; carrying out spline interpolation on the phase signal sequence to obtain a non-uniform interval sequence; calculating a reduced-order signal sequence; carrying out fast Fourier transform on the reduced-order signal sequence; calculating estimators of to-be-estimated parameters in the phase signal sequence and outputting the estimators; demodulating the phase signal sequence to obtain a reduced-order demodulated sequence; updating the phase signal sequence, circularly constructing the reduced-order kernel function, calculating estimators of the to-be-estimated parameters in the updated phase signal sequence in sequence and outputting the estimators; and updating the reduced-order signal sequence to obtain a first-order phase signal sequence, calculating estimators of first-order parameters and outputting the estimators.

The invention discloses an electricity-heat combined system considering heat exchange delay characteristics and a scheduling method thereof. The method comprises the steps of establishing a heat exchange delay model; according to the heat exchange delay model, establishing an electricity-heat combined system optimal scheduling model considering the heat exchange delay characteristic; fitting the optimal scheduling model of the electric-heat combined system, and reducing the nonlinear degree of heat transfer constraints in the scheduling model; and according to the fitted heat transfer constraints, solving the optimal scheduling model of the electricity-heat combined system and obtaining a scheduling result. An objective function in the scheduling model takes minimum system coal consumptionas an objective, and constraint conditions of the objective function comprise heat exchange process constraints and system operation constraints; the heat exchange process constraints comprise a heattransfer process constraint and a heat exchange delay constraint. According to the invention, the heat transfer process and heat exchange delay are considered, and the analysis of the heat storage, release and transfer processes is more accurate; sensitivity analysis is carried out on different factors influencing heat exchange delay; and a reference is provided for an operator to select proper parameters in scheduling.

The invention discloses a wave-shaped pipe surrounding type gas inerter which comprises a cylindrical tank, a wave-shaped pipeline, a piston, a piston rod, a baffle and a horizontal partition plate. The horizontal partition plate is arranged in the cylindrical tank. The horizontal partition plate divides the cylindrical tank into an upper cavity and a lower cavity which are independent and do notcommunicate. The cavity located in the upper portion is an air cylinder, and the other cavity is a stroke chamber. The piston is fixed to the piston rod. The baffle is fixed to the bottom face of thepiston rod. The upper end of the piston rod extends out of the center of the top face of the air cylinder, the piston is located on the air cylinder, the baffle is located in the stroke chamber, and the wave-shaped pipeline is fixed to the outer wall of the cylindrical tank. Two pipe openings of the wave-shaped pipeline communicate with the air cylinder. A section of liquid is contained in the wave-shaped pipeline, and the liquid of this section can only flow in the wave-shaped pipeline back and forth, and cannot enter the air cylinder. When the inerter works, the piston moves in the air cylinder back and forth. The baffle has a function of restraining the relative displacement amount of two end points, and the situation that the liquid in the wave-shaped pipe enters the air cylinder, theinerter cannot work normally can be prevented.