35results about How to "Avoid division" patented technology

The invention discloses a large-scale MIMO linear detection hardware framework under a non-ideal communication channel. A channel response matrix is enabled to sequentially pass through a triangular pulsation multiplication module and a noise addition module, and enters into a three-diagonal inversion module and a three-diagonal multiplication module. The three-diagonal inversion module selects three-diagonal elements in a matrix outputted by the noise addition module to form a three-diagonal matrix, and carries out the inversion calculation of the three-diagonal matrix. The triangular pulsation multiplication module enables the matrix, which is outputted by the noise addition module, after three diagonals are removed to multiply with a three-diagonal inversion matrix obtained from the three-diagonal inversion module. The results of the three-diagonal inversion module are inputted to a three-diagonal addition module, and the results of the three-diagonal multiplication module are inputted to a lower triangular pulsation multiplication module. The three-diagonal addition module and the lower triangular pulsation multiplication module enable a generated matrix to be inputted to a detection module after loop iteration. The framework reduces the hardware complexity, greatly reduces the calculation complexity, and greatly reduces the throughput rate.

The invention relates to a method for predicting the thermal conductivity of a material based on a finite difference method of a three-dimensional image, which belongs to a method for predicting the thermal conductivity of a material by a difference method, and is specifically a method for predicting the thermal conductivity of a material by using a three-dimensional image of a material combined with a finite difference method. The basic principles are: 1. Use image analysis method to distinguish different phases or components in the image; 2. Use computer language programs to read the position and color information of all pixels into the computer memory; 3. Build each pixel into a A cell is given its thermal conductivity according to its component; 4. Discrete the steady-state heat conduction equation, calculate the heat transfer coefficient matrix, and construct a calculation equation system; 5. Calculate the equation system to obtain the temperature field; 6. Calculate the equivalent heat of the material Conductivity. The invention adopts a three-dimensional model, and can obtain the thermal conductivity result more accurately; adopts a finite difference method, and can save calculation time and memory consumption. The whole process is completed automatically, which is very practical for models with a large number of nodes.

The invention discloses a system for quickly extracting small infrared targets, comprising: an image acquisition module for acquiring an image of a target to be detected; at least one image scaling module connected to the image acquisition module for performing an image acquisition on the image of the target to be detected Narrowing down; the target extraction module is connected to the image scaling module, and is used to extract the target point from the reduced target image to be detected, and extracts the feature value of the target point; the target judgment module is connected to the target extraction module for Judging whether the target point is a target to be extracted according to the feature value, if so, recording the position of the target to be extracted; a data cache module connected to the image acquisition module for storing the image of the target to be detected. The invention adopts an image scaling module to shrink the image of the target to be detected, so that it can be adapted to a preset template, thereby improving calculation efficiency, realizing rapid extraction of small infrared targets, and meeting real-time requirements.