35results about How to "Improve the speed of correction" patented technology

The invention relates to a method for achieving correction of a distance-amplitude curve. The method comprises the steps of fitting the corresponding distance-amplitude curve (DAC) according to each DAC point, dispersing the DAC curve into DAC curve correction sections at fixed intervals, downloading the DAC curve correction sections to a field programmable gate array (FPGA) through parameters, and performing DAC correction on sampled signals in the corresponding curve sections through the FPGA according to the parameters. By means of the method, the problem that floating-point calculation must be performed by a microprocessor in the correction process is solved, development complexity of hardware of ultrasonic flaw detectors is simplified, development cost is reduced, correction speed is increased, and reliability of the hardware is improved.

The invention discloses a method for detecting and extracting a ship target on the sea surface of an optical remote sensing image. The invention can effectively reduce the false alarm rate, quickly and accurately extract ship targets of different sizes, obtain their quantity and position information, and have low computational complexity. The present invention detects based on the frequency-domain model combined with multi-visual saliency, weights and fuses the ultra-complex frequency-domain transformation model and the quaternion Fourier transform phase spectrum method model to correct their respective deficiencies and enhance the advantages of the two, thereby suppressing the sea surface The background interference enhances the overall continuity of the detected target and the distinguishability between targets, and efficiently searches for the target area on the sea surface. For false alarms such as thick clouds and islands that may appear in the image, use the improved gradient direction histogram method to characterize the gradient structure distribution characteristics of the target, identify the detected target according to the established rules and conditions, and judge whether the detected target is For ships, the false alarm rate is greatly reduced and the detection accuracy is improved.

The invention relates to a crystal grain angle correction method applied to a chip separating system, which mainly comprises the following steps: judging a deflection angle of target crystal grains; driving a swinging arm of a crystal grain conveying mechanism to rotate 90 degrees minus alpha when the deflection angle alpha of the target crystal grains is a positive number, simultaneously executing the difference-alpha deflection angle position compensation on an arrangement region, and placing the target crystal grains into the arrangement region; driving the swinging arm of the crystal grain conveying mechanism to rotate 90 degrees plus alpha when the deflection angle alpha of the target crystal grains is a negative number, simultaneously executing the multi-alpha deflection angle position compensation on the arrangement region, and placing the target crystal grains into the arrangement region; and driving the swinging arm of the crystal grain conveying mechanism to rotate 90 degrees when the deflection angle alpha of the target crystal grains is zero, and directly placing the target crystal grains into the arrangement region. The invention combines the rotation movement of the crystal grain conveying mechanism and the translational movement of the arrangement region for compensating the angle deflection of the crystal grains, carries out parallel dispatch between the position compensation of a material supply region and the arrangement region, and realizes the automatic correction of the crystal grain angle under the condition of not reducing the conveying speed.

The invention discloses a circuit for calibrating operational amplifier imbalance in a successive approximation register mode. The circuit comprises an operational amplifier module, a comparer module, a control logic unit, a four-digit successive approximation register and a four-digit DAC module. The in-phase end of the comparer module is connected with an output voltage of the operational amplifier module. The inverted phase end of the comparer module is connected with VDD / 2. The output end of the comparer module is connected with the logic control unit. The output end of the logic control unit is connected with the four-digit successive approximation register. Four output ports of the four-digit successive approximation register are connected with four input ends of the four-digit DAC module. The voltage output end of the four-digit DAC module is connected with the operational amplifier module. The imbalance is calibrated in the successive approximation register (SAR) mode, a calibration process can be finished only through clock periods of which number is the same to the number of calibration digits, and the calibration speed is improved.

The invention discloses a phase gradient autofocus motion compensation method based on SAR image search and solves the problems that in the prior art, the entropy convergence speed is low, the focusing effect of an image with few isolated and strongly-scattering points is poor and even the focusing is in failure. The method includes (1) inputting image domain data signal matrix; (2) acquiring distance unit data signal matrix; (3) shifting in a circular manner; (4) windowing; (5) correcting phase errors; (6) judging whether the entropy convergence conditions are met or not; (7) outputting phase correction data signal matrix. Compared with the prior art, the speed of the entropy convergence is increased, the phase error correcting efficiency is improved, and the focusing effect of the image with few isolated and strongly-scattering points is fine.

The invention discloses a broadband array mutual coupling error correction system and method based on an FIR filter. Due to the fact that traditional broadband mutual coupling error correction is difficult to achieve, an FIR filter is adopted as a correction filter to correct the mutual coupling error, the correction filter is achieved, and a broadband algorithm is achieved. In order to meet the requirement for broadband mutual coupling error correction, the FIR filter based on segmented convolution is designed, so that the operation speed of the correction method is higher, and the efficiencyis higher.

The invention discloses a deviation correction method of a flying probe testing machine. First, the center of the cross target of the camera image is aligned with the center o of one of the test points of the PCB board to be calibrated; and then the probe is controlled to detect the PCB board to be calibrated to obtain Probe test point t, with the probe test point t as the initial point, control the probe to find the edge point a1 and edge point a2 on both sides along the X or Y direction, according to the detected two edge points in the X or Y direction Find the center point a3 in the X or Y direction; find the center point in the Y or X direction in the same way, that is, the center o of the test point of the PCB board to be calibrated, between the initial point t of the probe and the center o of the test point The deviation is the actual offset between the probe and the camera center; the test is performed after the control system compensates for the above actual offset. The actual offset between the probe and the center of the camera can be measured before using the flying probe testing machine through the above deviation correction method, which ensures the testing accuracy of the flying probe testing machine.

The invention relates to a plane resolution correction method and device of an image optical system, comprising a correction sample and an image sensing device, the surface of the correction sample has straight lines alternated with bright lines and dark lines, and the correction sample is set on a plane to be measured Here, an image sensing device has image capturing means, memory means and logic calculation means. In order to execute the image information of the calibration sample and store the image information, select and calculate the straight line equation of the bright line stripes, through the straight line slope and intercept of the straight line equation, and use the intercept to calculate the average distance between adjacent bright lines, and finally use geometric mathematics The method calculates the magnification of the image captured by the image sensing device.

The invention discloses a safety early warning method, device, system and computer storage medium. Wherein, the method includes: respectively scanning the substation with the first preset accuracy and the second preset accuracy to obtain a pre-scan model and a corrected scan model; obtaining rotation values ​​and translation values ​​according to the pre-scan model and the corrected scan model; real-time The substation conducts multiple subsequent recognition scans with the second preset accuracy, and corrects the recognition scan model obtained by each recognition scan according to the rotation value and translation value to obtain a corrected recognition model; this process saves the operator's time for correction , speeding up the correction. Obtain the target object in the correction recognition model; calculate the real-time distance from the target object to the cable in the pre-scan model; judge whether to give a safety warning to the target object according to the real-time distance. The position of the target object in the substation can be judged to ensure timely warning and avoidance of safety problems before they occur, while ensuring accurate and real-time problems.

The invention relates to the technical field of traffic geographic information, in particular to a vector map correction method which can quickly, accurately and comprehensively correct road nodes forming a vector traffic numerical map. The method comprises the steps of: matching line graph element nodes in an original vector traffic numerical map layer to correct the connectedness of adjacent line graph elements; collecting locating point data by floating cars; and acquiring floating car locating point data matching with the line graph element nodes to be used as a cluster dataset by taking the matched line graph element nodes as an initial cluster center, setting a threshold value, acquiring all sample points the distances of which with the line graph element nodes are within a threshold value range, and solving the mean of the sample points to be used as a new cluster center which is a corrected line graph element node. The method corrects errors and topology errors, generated during vectorization, of the vector traffic numerical map and ensures that the connectedness and geometrical characteristic of the related line graph elements in the map correction process are not influenced.