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数字信号处理原理及其MATLAB实现
《数字信号处理原理及其MATLAB实现》由丛玉良等编著。本书详细阐述了数字信号处理的基本原理,并结合MATLAB实现了相关算法与应用,适合从事信号处理与相关领域的科研人员及学生阅读。
Entropy Method MATLAB Code for Distribution Planning FSC Decomposition-Based Solver for FSC Problem
The Conservative Value Method MATLAB code Distribution_Planning_Lot_sizing_Decomposition.m is used for the Lagrangian Relaxation Method and decomposition algorithms applied to high-speed railway (CSHR) catering services. These programs are coded based on the following works: the time-varying demand and pedestrian congestion-based high-speed railway catering distribution planning problem and the batch-based model and decomposition algorithm developed by the Beijing Jiaotong University Research Team under the guidance of Professor Nie Lei. All these codes were written by Dr. Wu Xin. For any inquiries, please contact him. Your feedback is important to us, and the code will continue to be updated and improved in the future. The code includes three main parts: Main Program: main.m is the key component that initiates all related algorithms. The CPLEX solver used in the file can decompose the mixed-integer programming model into submodels. Therefore, the program will work only if the CPLEX interface is correctly installed in the MATLAB environment. Convex Program: A program that solves a series of single-variable convex maximization submodels. The submodels can be solved using the fmincon function in MATLAB's optimization toolbox. HCEA Functions: All files prefixed with HCEA_ embed the Convex Group Method (Frank Wolfe algorithm) as part of the Hybrid Cross-Entropy Algorithm (HCEA). The implementation of HCEA can be used to compare with the proposed decomposition method. Default settings are provided for various configurations.
MATLAB仿真与高级应用技术
基础知识就不要抱有幻想了,对仿真足够用了,还欠缺高级仿真的部分。适合于自学和复习。具体内容包括模型转换、Simulink、系统校正及其各种形式实现、各种控制系统图的绘制,主要介绍了用到的各种函数的使用方法。
MATLAB在运筹学优化中的应用分析
这本书对学习使用MATLAB解决优化问题有极大的帮助价值。使用MATLAB编程解决优化问题中的大部分问题,包括网络问题、动态规划、多目标规划、非线性规划等。
Particle Swarm Algorithm Based Charging Pile Layout Optimization MATLAB Code.zip
This MATLAB code provides an implementation of the Particle Swarm Algorithm (PSO) to optimize the layout of charging piles. It includes detailed functions and algorithms for solving the charging pile layout problem by considering factors like distance, capacity, and distribution efficiency. The code aims to find an optimal positioning solution for charging stations using the Particle Swarm Optimization method. This ZIP file contains all the necessary scripts and documentation to execute the layout optimization task in MATLAB.
MATLAB遗传算法优化神经网络的实现与应用
本程序展示了如何使用遗传算法优化神经网络。通过MATLAB代码,用户可以实现神经网络模型的训练,进而提高模型的预测能力。程序中的遗传算法主要用于调整神经网络的权重和偏置,优化网络结构,使得模型在训练过程中更高效地逼近最优解。以下是基本步骤: 初始化种群:随机生成一组神经网络权重和偏置。 评估适应度:通过训练神经网络并计算误差来评估每个个体的适应度。 选择、交叉与变异:使用遗传算法的选择、交叉与变异操作生成下一代。 重复步骤2-3,直到达到预定的停止条件。 最终,优化后的神经网络可用于更精确的预测和分类任务。
清华MATLAB课程资料及2007a版本配套资源
介绍了清华MATLAB课件以及MATLAB 2007a配套课件的详细信息,帮助用户更好地学习和使用MATLAB。课件内容丰富、结构清晰,适合不同水平的学习者。
Matlab常用算法代码合集(神经网络、图论、智能算法等)
该文件包含了多个数学建模领域的Matlab算法代码,主要包括: 神经网络图像分类代码 图论算法软件 小波神经网络预测代码 元胞自动机代码 Dijkstra算法找最短路径代码 Floyd算法求最小距离代码 GRNN的数据预测(基于广义回归神经网络货运量预测) K-means算法代码 RBF神经网络回归预测代码 SVM分类器代码 Topsis算法综合评价代码 层次分析法代码 插值与拟合代码 多目标规划Matlab程序实现 二次指数平滑及其时间序列预测代码 规划模型代码 灰色关联分析代码 灰色预测算法代码 回归预测分析Matlab代码 聚类分析代码 蒙特卡洛算法模拟随机数代码 排队论算法代码 三次指数平滑及其时间序列预测 时间序列-滑动平均代码 数字图像处理Matlab代码 图论算法代码 小波特征提取算法代码 小波异常值提取代码 隐马尔可夫预测代码 智能算法(粒子群优化、模拟退火、遗传算法)代码 主成分分析降维代码 最小生成树Matlab程序 这些代码涵盖了不同领域的基础算法,适用于数学建模、数据分析、图像处理及智能优化等多个应用。
Design M-order Adaptive Echo Canceller
Design an M-order adaptive echo canceller, with u(n) as the system input and d(n) as the desired response. The signal d(n) contains the echo of u(n). The system operates with an 8kHz sampling rate, and the echo canceller should be able to eliminate the echo within 16ms.
Matlab绘图高层与底层函数区别解析
高层绘图函数——是对整个图形进行操作的,图形每一部分的属性都是按缺省方式设置的,充分体现了Matlab语言的实用性。底层绘图函数——可以定制图形,对图形的每一部分进行控制,用户可以用来开发用户界面以及各专业的专用图形。充分体现了Matlab语言的开发性。