leminescate

用LAPLACE方法求解多维沃尔泰拉方程，此处为一个变元的方程，由于该方程同时含有微分和积分，一般求解有一定的困难。此处为MATLAB程序(used method for multiple preoperational Ertaila equation here as a variable element of the equation, As the same time contain differential equations and integral, the general solution is definitely difficult. Here for the MATLAB program)

说明：  图像空域变换增强技术实践,附带matlab code(Image enhancement technology transform the practice of airspace，Matlab code attached)

Magnetic resonance (MR) images can be used to detect lesions in the brains of multiple sclerosis (MS) patients and is essential for diagnosing the disease and monitoring its progression. An automatic method is presented for segmentation of MS lesions in multispectral MR images. Firstly a PD-w image is subtracted its corresponding T1-w image to get an image in which the cerebral spinal fluid (CSF) is enhanced. Then based on kernel fuzzy c-means (KFCM) algorithm, the enhanced image and the corresponding T2-w image are segmented respectively to extract the CSF region and the CSF combining MS lesions region. A raw MS lesions image is obtained by subtracting the CSF region CSF combining MS region. By applying median filter and thresholding to the raw image, the MS lesions are detected finally. Results are quantitatively uated on BrainWeb images using Dice similarity coefficient (DSC). Finally, the potential of the method as well as its limitations are discussed.

本程序为模型预测控制程序的一种，自带实时计算更新模块，完成循环仿真。(This procedure is belong to the model predictive control algorithm, with real-time update module calculation to complete the cycle simulation.)

说明：  双目机器视觉在行车中的测距及定位应用 (Binocular vision in the road in the distance and location-based applications)

matlabb标准粒子群优化算法。 电力系统的分析和计算中，需要不同网络结构和参数。在应 用这些参数之前，收集和整理工作会花费大量的时间和精力。(matlabb standard particle swarm optimization. Power system analysis and calculation, require different network structures and parameters. Before applying these parameters, the collection and collation will spend a lot of time and effort.)

采用离散余弦变换和霍夫曼编码，对图像进行压缩存储，并且完成解压缩(Discrete cosine transform and Huffman coding, the image compression and storage, and complete decompression)

In this paper, an orthogonal functions neural network is used to achieve the control of nonlinear systems. The adaptive controller is constructed by using Chebyshev orthogonal polynomials neural network, which has advantages such as simple structure and fast convergence speed. The adaptive learning law of orthogonal neural network is derived to guarantee that the adaptive weight errors and tracking errors are bound by using Lyapunov stability theory. Simulation results are given for a two-link robot in the end of the paper, and the control scheme is validated.

How to create m-files in Matlab guide.

说明：  此程序包括MATLAB的程序，对大家学习Matlab非常有用，特别适合初学者，欢迎大家下载(This program includes MATLAB program to all of us to learn Matlab is very useful, especially for beginners, are welcome to download)