biyesheji-

学习结构动力学newmark法的简单程序，单自由度和受迫振动(A Simple Program for Learning the Newmark Method of Structural Dynamics, Single Degree of Freedom and Forced Vibration)

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)

说明：  本目录主要包括：文档和两个源代码。 其中一个源代码是识别程序的，另一个是一个矩阵类库的，书里面也使用过，所以一并附上。 因为已经保存了训练好的网络权值，所以第一次使用识别程序时，可以直接运行\\Release目录下的可执行文件，然后对图片目录中的测试图片进行读入、识别。 当然读者也可以自行用训练样本训练网络，不过要特别注意训练样本的选择，否则可能造成识别率很低。训练样本选择的原则是，尽可能的有代表性，在训练时间不至于太长的情况下，训练样本数目尽量多。 ( This directory includes: documentation and two source code. One of the source code is to identify the procedure, the other is a matrix class library, the book which is also used, so be attached. Because it has saved the trained network weights, so the first use of identification procedures, you can directly run \ \ Release directory of the executable files, and then tested on the images directory to read pictures, identification. Of course, readers are free to use the training samples to train the network, but pay special attention to training samples, otherwise it may cause very low recognition rate. Training sample selection principle is that as far as possible, representative, in the long training time Buzhi Yu s case, the number of training samples as much as possible. )

这是一个非常重要的而又简单的程序，是书上常用和数学建模的好帮手(nice work )

matlab编程样式指南。matlab编程指导书籍(Matlab programming style guides. Matlab programming guide books)

图像处理中的边缘检测和处理,保证图像恢复的噪声最小(image processing edge detection and processing, image restoration to ensure minimum noise)

导入MATLAB数据后，能对数据进行各种拟合，包括高斯、洛伦兹、高普斯等多种拟合方式(Data fitting )

说明：  有关 信道编译码的源代码等等等 (The relevant channel codec, such as source code, etc.)

数字信号处理过程中信号截位误差抑制方法研究.pdf(Digital signal processing signal truncation error suppression method)

本程序用Matlab语言实现广度优先算法求解迷宫问题，其中1表示障碍，0表示通路，2表示入口，3表示出口，5表示行走路线(Program using Matlab breadth-first algorithm to solve the maze problem, where 1 indicates obstacles 0 indicates that pathway, entrance 3 export 5 shows the routes)