Understanding how machines interpret visual information starts with two fundamental concepts in image processing: convolution and correlation. These techniques are often mentioned in textbooks, but ...

Recently, convolutional neural networks (CNNs) and Transformer-based Networks have exhibited remarkable prowess in the realm of remote sensing image super-resolution (RSISR), delivering promising ...

In the past few decades, multi-linear algebra also known as tensor algebra has been adapted and employed as a tool for various engineering applications. Recent developments in tensor algebra have ...

在课程学习中自己编程实现的二分法计算非线性方程或者超越方程近似根的算法， % 二分法求根的matlab算法 function [x0,n]=dichotomy(a,b,err,f_x) %输入参数a为根的区间左端点 % %输入参数b为根的区间右端点 % %输入参数err为误差精度 % % 输入参数f_x为待求根函数 % %输出 ...

Audio equalization is the process of adjusting the balance between frequency components within an audio signal. The purpose of equalization is to make an audio signal sound better, more clear, and ...

The tomato crop is an important staple in the ‎market and it is one of the most common crops daily ‎consumed. Plant or crop diseases cause reduction of quality and quantity of the production; ...

Background: Convolution neural networks (CNN) is increasingly used in computer science and finds more and more applications in different fields. However, analyzing brain network with CNN is not ...

Spatial filtering techniques refer to those operations where the resulting value of a pixel at a given coordinate is a function of the original pixel value at that point as well as the original pixel ...