5results about How to "Moderate computational complexity" patented technology

The application discloses an infrared image enhancement method, system, device and storage medium based on a wavelet threshold, which comprises the following steps: performing multi-scale discrete wavelet transform on an input original infrared image to separate low-frequency components and high-frequency components; the low-frequency components bear overall outlines and illumination distribution information of the image, and the high-frequency components contain edge, texture details and noise information of the image; performing improved adaptive wavelet threshold denoising processing on the high-frequency components to obtain denoised high-frequency components; performing layered enhancement processing based on weighted guided filtering and multi-scale Retinex on the low-frequency components to obtain enhanced low-frequency components; performing wavelet inverse transform reconstruction on the enhanced low-frequency components and the denoised high-frequency components to obtain a preliminary enhanced image; performing size upsampling on the preliminary enhanced image, and applying adaptive contrast restriction histogram equalization processing to output a final enhanced infrared image. The method can effectively suppress noise, retain details, adaptively enhance low-resolution infrared images, and is computationally efficient.

The invention relates to the technical field of power electronics, particularly discloses a harmonic prediction control method for a three-phase four-wire inverter under a high-harmonic power grid, and aims to solve the problems of dynamic response lag, weak zero-sequence harmonic suppression and multi-target control conflict in the prior art under high harmonic distortion, power grid frequency deviation and load sudden change. The method comprises the steps of signal acquisition and coordinate transformation; carrying out extended state observation and adaptive harmonic wave identification; generating four vectors and constructing a multi-target cost function; tetrahedron interval judgment and duty ratio optimization; and delay compensation and compound control are executed. According to the technical scheme, accurate tracking of fundamental waves and cooperative suppression of full-band harmonic waves are achieved, output can still be controlled within 3% when the total harmonic distortion rate of power grid current reaches up to 25%, and the dynamic response speed, the frequency robustness and the engineering practicability are remarkably improved.

The invention discloses a fruit pose real-time estimation method based on multi-frame information fusion. The method comprises the following steps: acquiring observed image data and a sensor pose; performing fruit semantic instance segmentation on the image data to obtain a current frame fruit instance and a depth point cloud, performing data association on a fruit semantic instance segmentation result and a fruit map representation constructed based on a truncated symbol distance field in combination with a sensor pose, and determining a data association relationship between the current frame and a historical frame; according to the data association relationship, the current frame fruit instance and the depth point cloud, updating the fruit map representation; and extracting effective point clouds on the surfaces of the fruit instances from the updated map representation, determining the attitude information of the fruits through filtering and principal component analysis, estimating the omnibearing size information of the fruits, and finally determining the real-time poses of the fruits. Real-time and high-precision estimation of the fruit poses can be achieved, lightweight deployment of the fruit picking robot in a facility agriculture scene is achieved, and the operation success rate and the intelligent level are remarkably improved.

This invention belongs to the field of indoor positioning technology and discloses a robust indoor positioning method and system based on the weighted LP norm. The method first constructs a linearized measurement model based on TOA ranging values; then, it constructs an outer weight matrix by calculating the covariance of noise propagation error, and combines this with an inner weight matrix constructed from the current residuals to form a weighted LP norm objective function; an iterative optimization algorithm is used to solve this objective function until convergence yields the final coordinates of the user device. This invention adaptively suppresses the influence of impulse noise and outliers through a two-layer weighting mechanism, maintaining high positioning accuracy and stability even in non-Gaussian noise environments. This method requires no additional hardware, has high computational efficiency, and is easy to deploy in engineering. It is not only applicable to UWB systems but can also be extended to other ranging-based wireless positioning scenarios.

The application discloses a kind of fast variable load control methods of molten salt heat storage coupling combined heat and power system, the method first establishes the simplified dynamic model of combined heat and power unit and electric heater, then based on target variable load rate and combined heat and power unit dynamic model, calculates the feedforward compensation power of electric heater, and according to the deviation of system total output power and unit target power, feedback adjustment power is calculated by proportional-integral-derivative control algorithm, and feedforward compensation power and feedback adjustment power are synthesized as the final power instruction of electric heater.In addition, in the process of load tracking, control parameters and target variable load rate are adaptively adjusted according to the system operating state.The application can significantly improve the fast variable load capability of the system, realize accurate, fast and stable load tracking, and meet the demand of power grid for fast peak shaving and frequency modulation.