256 results about "Attenuation function" patented technology

The present invention is directed to improvements for distributed antenna systems and more particularly to methods and systems for improving uplink communications. In one embodiment, Aggregation Point Noise Blocking provides for blocking or filtering the noise contributed by one or more of the branches coupled to an aggregation point that are not carrying the signal from a particular terminal. Signal activity from a given terminal on a particular branch can be identified and that information can be used to selectively block or filter the signal noise contributed by the other branches to an aggregation point. The selective blocking or filtering can also include an attenuation function to attenuate the signal and provide dynamic range smoothing. In another embodiment the signal can be regenerated to produce a signal that has a restored or very high SNR. An uplink regeneration block can be provided which demodulates the uplink signal to recover the transmitted information and then re-modulates the transmitted information to regenerate a signal at a restored or very high SNR.

The present invention is directed to an optical imaging system for inspection microscopes with which lithography masks can be checked for defects particularly through emulation of high-aperture scanner systems. The imaging system, according to the invention, for emulating high-aperture scanner systems comprises imaging optics, a detector and an evaluating unit, wherein at least one polarization-active optical element is arranged as desired in the imaging beam path for selection of different polarization components of the imaging beam, an optical element with intensity attenuation function can be introduced in the imaging beam path, images of the mask and/or sample are received by the detector for differently polarized beam components and are conveyed to the evaluating unit for further processing. With the proposed solution, it is possible in particular to examine lithography masks for defects in spite of increasingly smaller structures and increasingly higher image-side numerical apertures of the imaging systems by means of inspection microscopes with high magnifications. Realistic images of the stepper systems can be generated by emulating the occurring vector effects.

The invention discloses an algorithm for collaborative filtering recommendation based on interest changes and trust relations. The algorithm mainly comprises the steps that (1) users' interest similarity degrees are computed by a time-fusion attenuation function; (2) a trust network of the users are established, and the users' trust degrees are computed; (3) the users' similarity degrees are computed in combination of the users' interest similarity degrees and the users' trust degree; and (4) a score of a target user aiming at a project is predicted. According to the invention, based on computation of the users' interest similarity degrees with application of the time-fusion attenuation function, network modeling is conducted for evaluation relations between the users and the project, and trust relations between the users are analyzed and excavated. Finally, the user's interest and trust relations are synthesized in the collaborative filtering recommendation. In this way, recommendation accuracy is enhanced.

A hierarchical motion deblurring method for a single image is provided. In the method, a blur kernel of a target image is calculated and a multi-scale representation for representing the target image and the blur kernel is constructed. Then, a gradient attenuation function and a strong edge suppression function are applied to a residual Richardson-Lucy algorithm, so as to iteratively calculate a residual image between the blur kernel and the target image represented by the representation in each scale and restore the residual image to obtain a first restored image and a second restored image. Finally, the two restored images are compared so as to obtain a motion deblurring image.

The invention relates to a collaborative recommendation method based on user cognition degree changes. The method comprises the steps that firstly, an RMF model is used for decomposing a user-project scoring matrix into a user feature matrix and a project feature matrix, a time attenuation function based on a psychological memory-forgetting curve is introduced, and attenuation of different degrees is given to scores given by the user at different periods of time; secondly, four aspects including user historic behaviors, the user age, occupation and sex for influences on the user cognition degree are considered, and a factor model is used for performing modeling of the four factors affecting the cognition degree on the RMF model so as to overcome defects in a traditional method. The collaborative recommendation method (CogTime_RMF) based on user cognition degree changes can construct user cognition degree changes from the multiple factors such as age, occupation, sex and historic behaviors, the cognition degree changes are integrated into the recommended scheme, and the recommending accuracy can be improved while the problem of cold boot of the user can be solved.

A location estimation method using label propagation. The achieved location estimation method is robust to variations in radio signal strengths and is highly accurate by using the q-norm (0<q<1), especially, for calculating the similarities among radio signal strength vectors. The accuracy in location estimation is further improved by putting more importance on the time-series similarities. Specifically, the time-series similarity is calculated by using time-series values indicating the temporal order of radio signal strengths during the measurement. If the time-series similarity is larger than the similarity between the radio signal strength vectors, the time-series similarity is preferentially used. The exponential attenuation function can also be used for calculating the similarities, instead of the q norm (0<q<1).

Packets on a computer network are low pass filtered using a low and slow network reconnaissance detector to generate a spectrum of packets that are anomalous, i.e., are not commonly occurring IP packet traffic on the computer network. The low and slow network reconnaissance detector includes a low-frequency low-amplitude attenuation function module that adjusts an interest level for a particular network event based upon a number of occurrences. The low and slow network reconnaissance detector also includes an update detector output with system compensation function module. The system compensation function is a time dependent function that adjusts the interest level from the low-frequency low-amplitude attenuation function module to compensate for bursts of activity separated by periods of time. To facilitate the use of both modules, a non-uniformly sampled discrete network event time series for the network event is converted into a uniformly sampled network event time series.

The invention discloses a turbulence model for prediction of high Mach number intensive shock wave flow field aerodynamic heat and a building method of the turbulence model, and belongs to the field of design of a hypersonic velocity flight vehicle thermal protection system. The method comprises the steps of firstly adopting a dimensionless pressure to calculate a smooth factor of a grid node (I,J,K); calculating an attenuation function value of the grid node, and determining a strong discontinuous area in a flow field; making an attenuation function coupled to a k-OmegaSST turbulence model to build the turbulence model for the prediction of the high Mach number intensive shock wave flow field aerodynamic heat. Compared with an existing shock wave discontinuous detection method and an existing turbulence model, the intensive shock wave discontinuous detection method which is put forward based on a smooth factor conception can achieve automatic detection even aiming at a complicated outline blunt body flight vehicle; the attenuation function is combined with the k-OmegaSST turbulence model to achieve high-precision aerodynamic heat prediction and simulation, the calculating precision is obviously improved, and the error can be lowered to the range within 10%; the turbulence model for the prediction of the high Mach number intensive shock wave flow field aerodynamic heat and the building method of the turbulence model are high in practicability, and it is easy for the turbulence model to be fused into a modern parallelization CFD calculation program.

The invention discloses a multi-stage dynamic vehicle routing optimization method for fresh agricultural products in different regions, which comprises the following steps of: data obtaining; regionaldivision; time division; design of a freshness attenuation function and establishment of a mathematical model of minimum total distribution cost; algorithm design of a mathematical model for minimumtotal distribution cost; solution of a mathematical model of minimum total distribution cost. The invention effectively improves the distribution efficiency and reduces the total distribution cost, and has high practical significance.

The invention relates to an unconditionally stable finite difference seismic wave field continuation method based on a staggered grid Lowrank operator. The method comprises the steps that a first-order speed-stress equation Fourier integral solution is utilized for constructing the Lowrank operator on a staggered grid; an attenuation function is utilized for carrying out attenuation constraint on the staggered grid Lowrank operator; the weighted least square method is utilized for calculating a finite difference coefficient; the obtained finite difference coefficient is utilized for achieving unconditionally stable finite difference seismic wave field continuation. On the basis of the Lowrank decomposition approximate wave number-spatial domain operator, the computationally-stable and high-precision optimized finite difference coefficient is obtained through the attenuation constraint and the weighted least square method, and unconditionally stable finite difference seismic wave field continuation can be achieved through the constructed finite difference computational format.

The invention relates to a micro multifunctional optical device and a method for making the same. The optical device is characterized in that: the optical device comprises a fixed electrode, a movable electrode, a support beam, an anchor point, a glass substrate, a light reflection module and optical fiber grooves; the head of the light reflection module is in a triangular shape; an input optical fiber groove is arranged over against the head of the reflection module; corresponding to the reflection surfaces on two sides of the triangular light reflection module, tow output optical fiber grooves are oppositely arranged to be perpendicular to the input optical fiber groove; input optical fiber and output optical fiber are respectively arranged in the input optical fiber groove and the output optical fiber grooves. The optical device realizes adjustable light splitting function and optical switching function through a comb type electrostatic driver moving light reflection module consisting of the fixed electrode and the movable electrode, and realizes light attenuation function through a flat-type electrostatic driver twisted light reflection module consisting of the fixed electrode and the movable electrode at the same time. The optical device is simple in making process and compatible with MEMS device process of various species, and can be used to realize the glimmer integration systems with more powerful functions.

Methods and apparatus are presented for distance measurement using laser pulses in which at least one of an attenuation function and an offset of the attenuation function relative to the send pulse is variable to accommodate differing measurement needs. In some embodiments, at least one of an attenuation function and an offset of the attenuation function is fixed relative to the send pulse for some number of measurement cycles and information derived from the result is used to modify either or both of the attenuation function and offset of the attenuation function relative to the send pulse for subsequent measurement.

The invention provides a multi-agent adversarial decision-making method based on cooperative reinforcement learning and transfer learning, and the method is characterized in that the method comprisesthe following steps: defining the state space S = {s1, s2,..., sn} of an agent; setting an action space A to be equal to {a1, a2,..., an}; setting a value function matrix of the agent reinforcement learning model; calculating a value function sequence corresponding to the current state st by using an action evaluator, and selecting a corresponding action at through an action selector based on simulated annealing and softmax strategy; meanwhile, the state of the intelligent agent is changed, and the intelligent agent is transferred to the next state st + 1. After the action at is executed, theintelligent agent obtains a reward signal rt from the environment; the loss of experience storage can be reduced through a weight sharing mode, and the adversarial decision-making efficiency is improved. Through the migration learning method based on the attenuation function, the agent can reuse previous experience with a gradually decreasing probability, and the migration learning migrates the previously trained action evaluator weight to more adversarial decision scenes, thereby improving the generalization of the learning model.

The invention discloses a personal credit risk evaluation method and evaluation system for large-scale unbalanced credit data. The method comprises steps that firstly, according to the acquired high-dimensional large-scale unbalanced historical credit data, a training matrix X constructed by the acquired historical data set is constructed, and the adaptive elastic network characteristic selectionalgorithm is utilized to implement dimensional reduction for the given historical credit data set; and secondly, a training sample set after dimension reduction is divided into a few of sample classesand a plenty of sample classes, the membership degree of each sample is calculated according to the cluster-like centroid distance exponential attenuation function, a weight matrix W is constructed,relevant parameters are set, and an IWELM model is utilized to implement personal credit risk evaluation. The method is advantaged in that a high-degree unbalanced problem shown by the large-scale credit data is overcome, the speed and efficiency of personal credit risk evaluation are further improved, and reliability and credibility of the evaluation result are improved.

The invention provides a method for obtaining lightning parameters by utilizing an actual-measured lightning vertical electric field. The method belongs to the technical field of thunder and lightning monitoring in the field of electrical engineering. The method comprises the steps of acquiring remote actual-measured lightning vertical electric field data through an artificially trigged lightning method, performing smooth denoising on the actual-measured lightning vertical electric field data, eliminating noise signals in the actual-measured lightning vertical electric field data, and obtaining actual-measured lightning vertical electric field fragments; considering a reflecting action of soil on which an electric field measurement point is located, confirming an expression of a soil attenuation function in a time domain, and then utilizing a particle swarm algorithm for searching to obtain an optimal lightning base current and return stroke velocity; finally calculating to obtain the distribution of electric density in a lightning channel. The method provided by the invention overcomes the defect of difficulties in direct measurement of the lightning base current, and direct measurement of the return stroke velocity and the electric density of the lightning channel, is wide in applicable range, and is contribute to an electrical power system to adopt a more effective lightning protection measure.

The invention provides an irregular terrain radio wave propagation factor prediction method based on a three-dimensional parabolic equation for solving the problem that a two-dimensional parabolic equation cannot consider the influence of transverse terrain to radio wave propagation properties. The irregular terrain radio wave propagation factor prediction method comprises the following steps: establishing a three-dimensional irregular terrain geometric model by using a digital elevation map; deducing a wide angle parabolic equation expressed by a bit function by using a maxwell equation; figuring out an initial field of the wide angle parabolic equation by using a current distribution function of an excitation source; figuring out the wide angle parabolic equation by using an improved step-by-step Fourier transform method to obtain a total field of the wide angle parabolic equation; constructing an attenuation function in a whole space, and correcting the amplitude of the total fieldof the wide angle parabolic equation; and calculating an irregular terrain radio wave propagation factor by using the total field of the wide angle parabolic equation considering the absorption boundary. By adoption of the irregular terrain radio wave propagation factor prediction method, the precision of prediction of the three-dimensional parabolic equation is improved, the application range ofthe digital elevation map is expanded, and the irregular terrain radio wave propagation factor prediction method can be applied to wireless communication and GPS positioning in complex environments.

The invention discloses a feed-type electromagnetic damping vibration attenuation control method for a vehicle suspension. The method is applicable to an electromagnetic damping vibration attenuation device formed by a cylindrical fault-tolerant permanent-magnet linear motor, a motor controller, a speed sensor and a storage battery. Since the motor controller figures out the speed and the acceleration of the cylindrical fault-tolerant permanent-magnet linear motor according to the signal of the speed sensor, calculates the proportionality coefficient Kp and the integral coefficient Ki of a variable parameter PI based on the absolute value of the acceleration in real time and controls the cylindrical fault-tolerant permanent-magnet linear motor to run by adopting a speed closed-loop vector control strategy, the electromagnetic vibration attenuation function is realized, the vibration energy is recovered, the electromagnetic damping coefficient can be adjusted in real time according to the actual situation, the vibration attenuation performance of the suspension and the smoothness of a 'man-vehicle' system are improved and the energy is saved.

The invention discloses a network representation method based on a depth network structure and node attribute, which comprehensively considers the influence of the network structure and node attributeinformation on the node, and learns the node characteristic representation through a neural network. The method Includes steps: an adjacency matrix and attribute relation matrix between nodes is constructed; the probability transfer matrix and attribute probability transfer matrix of the structure between nodes are obtained; according to the structural probability transfer matrix and the attribute probability transfer matrix, the multi-order probability relation matrix is obtained by using the personalized random walk model; the global information matrix is obtained by combining the multi-order probability relation matrix with the attenuation function; the global information matrix is inputted into the automatic encoder, and the low-dimensional feature representation of the network node is obtained by training the automatic encoder. The invention solves the problem of data sparsity, encodes the global information of nodes in the network into a low-dimensional, dense vector space by constructing a depth neural network, and ensures the accurate representation of nodes in the network.

A method and apparatus are provided for channel equalization with a digital finite impulse response (DFIR) filter using a pseudo random sequence. A readback signal of a pseudo random bit sequence is obtained. Samples are obtained from the readback signal of the pseudo random bit sequence. Tap gradients are calculated responsive to the obtained samples. The tap weights of the digital finite impulse response (FIR) filter are modified responsive to the calculated tap gradients. Dibit samples and error samples are obtained from the readback signal of the pseudo random bit sequence and applied to a tap gradients calculator. Tap gradients are calculated by a bitwise multiplier and accumulation tap gradient calculation circuit. An attenuation function attenuates the calculated tap gradients by a programmable attenuation value.

The invention discloses a digital oscilloscope with a front end attenuation function, which comprises a signal input end, a straight-through attenuation switching module, a front end amplification module, an A/D (analog/digital) conversion module and a control processing module that are connected in series sequentially, wherein the straight-through attenuation switching module responses to a control signal of the control processing module; an attenuation unit is connected between the signal input end and the front end amplification module; the digital oscilloscope further comprises an RC (resistor-capacitor) frequency compensation circuit; the straight-through attenuation switching module responses to the control signal of the control processing module; and the attenuation unit and the RC frequency compensation circuit are connected between the signal input end and the front end amplification module in parallel. According to the digital oscilloscope, under the condition that the cost is not increased, the bandwidths of vertical gears at high frequency are basically the same, and the digital oscilloscope is simple in structure and easy to realize.