1031results about How to "Simple algorithm" patented technology

A RF-digital hybrid mode power amplifier system for achieving high efficiency and high linearity in wideband communication systems is disclosed. The present invention is based on the method of adaptive digital predistortion to linearize a power amplifier in the RF domain. The power amplifier characteristics such as variation of linearity and asymmetric distortion of the amplifier output signal are monitored by the narrowband feedback path and controlled by the adaptation algorithm in a digital module. Therefore, the present invention could compensate the nonlinearities as well as memory effects of the power amplifier systems and also improve performances, in terms of power added efficiency, adjacent channel leakage ratio and peak-to-average power ratio. The present disclosure enables a power amplifier system to be field reconfigurable and support multi-modulation schemes (modulation agnostic), multi-carriers and multi-channels. As a result, the digital hybrid mode power amplifier system is particularly suitable for wireless transmission systems, such as base-stations, repeaters, and indoor signal coverage systems, where baseband I-Q signal information is not readily available.

The invention discloses a circle center locating method of a circular target, mainly relating to a great deal of target identification and target location. Firstly, rough circle center location is carried out to an image by using a simple contour centroid method, a key square region is extracted as a region of interest according to the information of a rough location circle center and a rough location radius, and pixel-level edge location is carried out to the circular target in the region of interest by a canny operator; then sub-pixel location is carried out to the circular target according to the geometric features and the gray information of the circle, therefore, a precise coordinate of sub-pixel edge points is obtained; after that, a curvature filtering method and an average filtering method are respectively used for filtering 'isolated points' and noise occurring in the sub-pixel edge points; finally, a least squares method is utilized to fit a circle to the filtered sub-pixel edge points so as to obtain the final circular center and radius. The method not only effectively improves the precision of circle center location, but also improves the robustness thereof, thus further improving the measurement precision of a measurement system and perfecting the stability of the measurement system.

In a beam-spot position compensation method for use in an optical scanning device which scans a surface of a photosensitive medium by a light beam emitted by a light source, a plurality of sections are defined by dividing a scanning region on the scanned surface. An emission timing of the light beam for every section is adjusted so that a spacing between beam-spot positions corresponding to pixels of start and end of each section is changed by a predetermined amount. The sparseness or denseness of beam-spot position spacings of the plurality of sections in the whole scanning region is compensated.

The invention relates to a track planning method of a redundant space mechanical arm for on-track catching. The catching operation of the space mechanical arm is divided into a rough catching stage and a fine catching stage, so that problems are simplified. By aiming at outstanding problems of different stages, different planning algorithms are adopted. In the rough catching stage, a track searching algorithm based on configuration space is adopted, and the algorithm is based on the test in the configuration space; and in the fine catching stage, a pseudo-inverse algorithm based on kinematics is adopted, and the final precise catching is guaranteed by compensating the relative movement of a target.

A color signal processing method includes calculating a mixing ratio for source primary colors of a color reproducing device through which an input color signal having standard primary colors is reproduced, mixing the source primary colors according to the calculated mixing ratio to obtain reconstructed primary colors, and transforming the input color signal to match a color gamut of the reconstructed primary colors and outputting the transformed color signal. Thus, the color gamut of the color reproducing device can be freely adjusted within a reproduction range thereof according to the input color signal.

The invention relates to the field of the monitoring of a transmission line conductor, in particular to a real-time monitoring method of ice coated on an overhead transmission line conductor and a system thereof. The method comprises the following steps of: firstly, arranging tilt-temperature monitoring devices on each line conductor so as to monitor the suspension point tilt and the conductor temperature of line conductors in real time; secondly, arranging deviation angle-wind deflection angle monitoring devices on each suspended insulator string so as to monitor the deviation angles of the suspended insulator strings along the conductor direction and the wind deflection angles vertical to the conductor direction in real time; and calculating the ice coating comprehensive load and the ice coating thickness of each line conductor in real time through monitoring the suspension point tilt and the conductor temperature of the line conductors and the deviation angles of the suspended insulator strings in real time. The method has the beneficial effects that not only the ice coating thickness of the conductor can be measured, but also the comprehensive load of the ice-coated conductor can be measured, furthermore, the measure is reasonable and correct, the algorithm is simple, and the result is accurate, and the method can be applied to the comprehensive load calculation of the strain section of the lines, on which ice is evenly coated or unevenly coated.

The invention belongs to the field of urban traffic control, and provides a self-adaptive intersection signal control method. By installing vehicle monitors to detect the number of vehicles, the lengths of vehicle queues are acquired, and a signal control strategy for the next cycle is determined according to the lengths of vehicle queues at an intersection in the previous cycle. The method utilizes the vehicle detectors already arranged in a city to acquire traffic flow data and calculate the length of the queue of each lane, and the signal timing scheme of the next cycle is dynamically adjusted according to the different proportions of queue lengths. Taking a cycle as a unit, a timing scheme is calculated, the load of calculation is low, and moreover, the method also can achieve the purpose that intersection signals can be self-adaptively controlled according to the density of traffic flow. In addition, the algorithm of the method is simple, and the method has low requirement on hardware and construction quantity, and therefore is convenient to popularize.

A multi-target object tracking system of a panorama video sequence image comprises a panorama camera shooting device and a microprocessor. The panorama camera shooting device is used for acquiring a scene in a large area, and the microprocessor is used for video analyzing and processing a panorama image shot by the panorama camera shooting device. During the processing process of moving target object extracting and simple multi-target object tracking, an MHoEI (motion history or energy images) algorithm which is low in computation complexity, simple in parameters and threshold value selection and convenient to realize in a system-on-chip is utilized. In order to effectively track multi-target objects in the scene in cases of shielding, separating and merging, the multi-target objects are sequentially tracked via motion characteristics, color characteristics and shape characteristics of the target objects according to matched results, and while tracking efficiency is improved, robustness for tracking the multi-target objects is improved.

The invention discloses an in-orbit moving target detecting method with space-based radar and infrared data fusion. The method includes the steps that when an infrared detecting system is used for detection, background suppression is carried out on each frame in an infrared image sequence by adopting a filtering method based on the morphology, self-adaptive threshold segmentation is carried out on images obtained after background suppression, a single frame detection result is extracted, a multi-frame target is determined through a tracking algorithm, and whether the detection result is a real target or not is judged to obtain the detection result of the multi-frame target; during radar detection, pulse doppler (PD) is adopted for processing. After time calibration and space calibration are carried out on the obtained infrared and radar target information, data fusion is carried out on the information by adopting a measurement fusion method, and track prediction is carried out on fused data to obtain the estimated position of the target.

The present invention relates to a method for the optical self-diagnosis of a camera system and to a camera system for carrying out the method. The method comprises recording stereo images obtained from in each case at least two partial images (2, 3) creating a depth image, that is to say a disparity map (5) given by calculated disparity values, determining a number of valid disparity values (6) of the disparity map (5), and outputting a warning signal depending on the number of valid disparity values determined. A device for carrying out such a method comprises a stereo camera (1) having at least two lenses (7,8) and image sensors, an evaluation unit and a display unit.

The invention relates to a carrier phase height measurement device based on a GNSS-R technology and a method thereof. The device comprises a GNSS-R receiving module, a direct signal processing module, a reflected signal processing module and a reflected signal carrier phase height measurement module, wherein the reflected signal carrier phase height measurement module comprises an open-loop tracking unit and a time differential phase height measurement unit; the open-loop tracking unit takes the direct signal tracking frequency as the local reference frequency so as to effectively track the GNSS reflected signal and obtain the reflected signal carrier phase observed quantity; and the time differential phase height measurement unit utilizes the single-frequency reflected signal phase observed quantity obtained by the open-loop tracking unit to invert accurate water level in a time differential phase height measurement method. The height measurement method accurately measures the water level by the GNSS water surface reflected signal carrier phase, and effective reflected signal phase observed quantity can be obtained by open-loop tracking. A time differential phase height measurement algorithm is simple and can realize high-accuracy height measurement of the water level within a short time.

The invention provides a robot positioning and mapping method, a computer device and a computer readable storage medium. The method comprises the following steps of pre-integrating information acquired by an inertial measurement unit by utilizing information acquired by a camera device and information acquired by the inertial measurement unit; using the front end module to carry out motion tracking by utilizing pre-integrated relative pose information, and judge whether a visual tracking loss condition occurs or not, if the visual tracking loss condition does not occur, carrying out the visualand inertial measurement fusion operation, and updating the state information of an inertial measurement unit; and when a new key frame is generated, using the rear end module to acquire the pose information of the key frame acquired by the front end module and the corresponding relation information of the feature points, create and optimize a factor graph, and update a rear end map by using theacquired pose information and the depth information of the 3D points. The invention also provides a computer device for realizing the method and a computer readable storage medium. According to the invention, the positioning and mapping of the robot can be realized efficiently and accurately.

The invention discloses a traffic light recognition method. The method comprises steps as follows: performing binarization on the brightness component of the HSV color space of a traffic light target area in advance, acquiring a binarization result and extracting connected domains representing a traffic light bright area from the result through switching between an RGB space gray binarization method and an HSV color space binarization method on the basis of the area characteristic of the maximum connected domain, meanwhile, calibrating horizontal coordinates of a traffic light target by using difference between bright components of traffic light images in front and back frames, then designing a classifier, acquiring a classification recognition result of the traffic light target according to the number, colors and position characteristics of the extracted connected domains, and finally, when the traffic light is a yellow light, calibrating the vertical position of the traffic light target by using the vertical coordinate of the yellow light. The method has the advantages that the method is simple to implement, high in recognition accuracy, high in adaptability to different crossroad environments and low in computational complexity, fewer resources are occupied, and positions of the traffic lights can be calibrated.

Equipment enables an improved efficiency in network bandwidth usage, and an improved upper-layer throughput even when abrupt change occurs in input traffic. The equipment includes an input traffic collector which collects and retains an input traffic amount of each input port for one period at preset periods; a bandwidth set processor which calculates a bandwidth for use in each input port from the input traffic amount retained in the input traffic collector, and calculates the corresponding number of virtual concatenation member paths from the difference of the bandwidth in use and a virtual concatenation path bandwidth having been allocated to the input port, and issues an addition command or a deletion command for adding or deleting the virtual concatenation member paths for the calculated number; a virtual concatenation controller which sets a virtual concatenation path bandwidth against the traffic input from the plurality of ports; and a link capacity adjustment scheme controller which sets and changes the virtual concatenation to the virtual concatenation controller, based on the addition command or the deletion command of the virtual concatenation member paths issued by the bandwidth set processor.

The invention provides a calibration device based on a rotary type two-dimensional laser three-dimensional reconstruction system. The calibration device comprises a data acquisition module, an acquisition assistant module, a data transmission module and a data analysis and processing module, wherein the data acquisition module comprises a two-dimensional laser radar and a calibration module, and the calibration module consists of three mutually vertical non-transparent square planes; the acquisition assistant module comprises a support frame and a rotating cradle head arranged on the support frame, the two-dimensional laser radar is arranged on the rotating cradle head, and the rotating cradle head is controlled by the data analysis and processing module. The calibration device can effectively carry out once data acquisition, and the complex degree of calibration is reduced; moreover, a two-dimensional laser coordinate system is quickly and accurately fused with a word coordinate system, and the calibrated result is applied to large-scale scene three-dimensional reconstruction.

The invention provides a method and a system for diagnosing and flashing the electronic control unit of a vehicle. The method comprises the following steps: an upper computer sends diagnosing and flashing instruction data to a lower computer via an Ethernet bus, wherein the diagnosing and flashing instruction data carries a CAN message for diagnosing and flashing and at least two target CAN bus IDs; the lower computer receives the diagnosing and flashing instruction data, extracts a CAN message in the data, and sends the CAN message to at least two target CAN buses according to the target CAN bus IDs; the lower computer receives a returned CAN response message, packages the CAN response message into an Ethernet data frame, and sends the Ethernet data frame to the upper computer via the Ethernet bus; the upper computer receives the Ethernet data frame, extracts the CAN response message from the Ethernet data frame, and processes the CAN response message; and the upper computer and the lower computer communicate via a user datagram protocol UDP. The electronic control units on multiple CAN buses can be flushed at the same time, and thus, the production efficiency is improved.

The invention discloses a method for positioning a key feature point, which comprises the following steps: detecting a face in a target image and determining the face area in the target image as an image to be aligned; extracting the edge information in the image to be aligned to obtain an edge graph of the image to be aligned; detecting all candidate feature points from the edge graph according to a pre-set feature point selecting standard; and selecting a plurality of candidate feature points with the highest match degree with a set reference feature point from the candidate feature points to serve as the finally obtained key feature points. The invention further discloses a device for positioning the key feature point, which comprises an image to be aligned determining module, an edge graph acquiring module, a candidate point determining module and a key feature point determining module. The method and device of the embodiment of the invention can accurately position the key feature point in the face area, and the algorithm of the scheme has the advantages of simplicity, small calculation amount and fast implementation.

The invention relates to an online monitoring and early warning system for vibration of an intelligent motor, which belongs to the field of intelligent motor monitoring. The system comprises a vibration sensor, a processing and analysis module, a calendar module, a storage module, a communication module, a field alarming module and a portable device. the vibration sensor measures the real-time vibration data of the motor, the data are transmitted to the processing and analysis module, the operation and the working state of the motor are analyzed and judged in combination of data measured by an electric parameter measuring module and a rotation speed measuring module, and in view of abnormal vibration features under different load rates, field alarming or early warning to the portable device is carried out. Besides, early warning is also carried out for the changing trend of the vibration frequency and the changing trend of the amplitude. The system can realize online vibration monitoring and early warning when the motor is abnormal or in an abnormal working state, timely finding and timely processing are carried out, expanding of motor fault can be effectively avoided, the maintenance efficiency is greatly improved, the structure is simple, the cost is low, the measurement is accurate, and the system can be widely applied to intelligent and online vibration monitoring on middle and small-sized motors.

The invention provides a method for identifying surface electromyography (sEMG) on the basis of empirical mode decomposition (EMD) sample entropy. The method comprises the following steps: acquiring the corresponding sEMG from the related muscle tissue; performing EMD by using an actuating signal of the sEMG determined by energy threshold; adaptively selecting a plurality of intrinsic mode function (IMF) components comprising electromyographic signal effective information according to a frequency availability method; superposing the IMF components to serve as effective electromyographic signals and evaluating the sample entropy; and inputting the sample entropy serving as feature vector into a clustering classifier based on a spindle kernel clustering algorithm to realize identification on an upper limb multi-locomotion mode of the electromyographic signal. The sample entropy can disclose the complexity of the sEMG from a short time sequence, represents the tiny change condition of the electromyographic signal well, has high antijamming capability, simple algorithm and high calculation speed, and is particularly suitable for real-time processing of the electromyographic signal.

The invention discloses a symmetrical three-section voltage vector pulse width modulation method for a three-level PWM rectifier, which comprises the following steps: 1. voltage vector area division: dividing one sector according to every 60 degrees, setting up three small areas in each sector, and calculating by taking quadrant as a unit; 2. voltage vector synthesis: using the adjacent three-voltage vector synthesis of each area according to the areas divided in the step one; 3. voltage vector acting time calculation: calculating the acting time of each synthesized voltage vector of each area according to V-t characteristics; and 4. voltage vector pulse width modulation: utilizing the voltage vector acting time calculated in the step three to carry out the voltage vector pulse width modulation, i.e. realizing the voltage vector pulse width modulation by a DSP+CPLD three-level PWM rectifier system based on a logical approach. The method realizes the self-balancing of the voltage vector pulse width modulation; the voltage vector subareas are fewer, and the algorithm is simple.

The invention provides a Gaussian filter-based real-time defogging method for a single image. The method is established on the basis of a physical model and can realize real-scene recovery of a degraded quality image. The method comprises the following four main steps of: step 1, calculating, inputting a dark channel image of a fogged image and estimating an overall atmosphere light value; steps 2, primarily estimating an atmosphere dissipative function; step 3, adopting Gaussian filtering to refine the atmosphere dissipative function; and step 4, recovering a scene radiancy. With the adoption of the method, defects that an existing defogging method is slower in defogging speed and cannot be applied to a real-time processing system are overcome; and the method is good in effect of an obtained defogged image and rapid in processing speed, can be applied to a real-time system, and has a better practical value and a wide application background.