Matlab-Csharp

Code for solving the different functions and equations for the stream function wave theory. The package contains a few different code to solve for the different equations and variables.

matlab高效编程技巧和应用，25个案例分析(matlab efficient programming techniques and applications, 25 case studies)

In this paper, we consider the use of Modulation Spectra for voice pathology detection and classification. To reduce the high-dimensionality space generated

Optimization using Particle Swarm Optimization for Travelling Selesman Problem with Matlab

说明：  按照信息论基本原理的解释，信息是系统有序程度的一个度量，熵是系统无序程度的一个度量；如果指标的信息熵越小，该指标提供的信息量越大，在综合评价中所起作用理当越大，权重就应该越高。因此，可利用信息熵这个工具，计算出各个指标的权重，为多指标综合评价提供依据。(According to the interpretation of the basic principles of information theory, information is a measure of the degree of orderliness of the system, and entropy is a measure of the degree of disorder of the system. If the information entropy of the index is smaller, the amount of information provided by the index is larger, and the role of the index in the comprehensive evaluation should be greater, the weight should be higher. Therefore, we can use the tool of information entropy to calculate the weight of each index, and provide a basis for the comprehensive evaluation of multiple indicators.)

用Canny算子检测图像的边缘 P0404：图像的阈值分割 P0405：用水线阈值法分割图像 P0406：对矩阵进行四叉树分解 P0407：将图像分为文字和非文字的两个类别 P0408：形态学梯度检测二值图像的边缘 P0409：形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象(with Canny operator to detect the edges in the image P0404 : image thresholding segmentation P0405 : water line threshold method image segmentation P0406 : matrix Quadtree P0407 : images into text and non-text of the two categories P0408 : morphological gradient detection Binary Image Edge P0409 : morphology example-- Images from the PCB to delete all current lines, retaining only chip targets)

边缘预测提出了一种基于预测的、有一定自适应性的边缘检测方法。介绍了其原理和算法实现过程。通过计算两个相邻像素的灰度值的均值、均方差和梯度来预测下一个像素的灰度值,比较预测值和真实值来判断下一个像素是否是边界点。通过与现有同类算法的比较,证明了该算法的优越性(A predictive and adaptive edge detection method is proposed. The principle and implementation process of the algorithm are introduced. The gray value of the next pixel is predicted by calculating the mean, mean square deviation and gradient of the gray value of the two adjacent pixels. The prediction value and the real value are compared to determine whether the next pixel is a boundary point. The superiority of this algorithm is proved by comparing with the existing similar algorithms.)

This is a code to design and simulate the QMF filter banks.

自适应波束形成图演示，不同条件下波束形成的性能，适合初学自适应信号处理的朋友(adaptive beamforming of different situations,suitable for beginners)

Template for Gaussian averaging