ft5206-1024X600

matlab图像融合工具箱,实现多源传感器图像融合功能(Matlab toolbox image fusion, multi-sensor image fusion function)

基于matlab的加性高斯白噪声信道的FSK调制(Matlab based on the additive white Gaussian noise channel FSK modulation)

it is a matlab file foe develop SLAM localization this is a toolbox for develop develop realtime extra cool

　数字水印技术是近年来图像保护技术研究领域的一个热点,本文提出了一种基于小波变换的图像数字 水印嵌入算法的Matlab 实现。实验结果表明,该算法具有较好的视觉效果和透明性。(　Abstract 　The digital watermarking technology is the most active topic in image protecting recently. In this paper , a digital watermarking algorithm based on Wavelet transform is proposed ,and give ou the program of this algorithm by MatLab. The experimental results demonstrate that the method possess good vision effect and transparence.)

灰色预测公司的利润，利用数学建模灰色预测模型，(Gray forecasting company profits, the use of gray prediction model)

说明：  灰色关联度算法，灰色系统分析方法针对不同问题性质有几种不同做法，灰色关联度分析(GreyRelationalAnalysis)是其中的一种(Grey algorithm, gray system analysis methods for different nature of the problem there are several different approaches, gray correlation analysis (GreyRelationalAnalysis) is one of them)

利用A星算法进行二维路径规划，用MATLAB软件进行仿真(Two-dimensional path planning using A-star algorithm and simulation using MATLAB software)

根据BS公式，通过Mente Carlo模拟对欧式期权进行定价的源码。即使不是做期权定价的，该源码也是一个非常好的理解如何做Mente Carlo模拟的实例。(Based on the Black-Scholes formula, codes for pricing the European options through the Mente Carlo simulation. It is a very good example for your understanding of how to do Mente Carlo simulation, even if you do not engage in the option pricing.)

matlab算法工具箱，本工具箱主要包含三部分内容 (支持平台MATLAB5.3或5.2,Symbolic math,optim,spline,stats) 1. MATLAB常用数学建模工具的中文帮助 2. 贡献MATLAB数学建模工具(打*号) 3. 中国大学生数学建模竞赛历年试题MATLAB程序(Almost algorithm matlab toolbox)

Training Artificial Neural Network. XOR Problem. Summation Units, Log-Sigmoid Neurons with Biases. Input Layer: 2, Hidden Layer: 2, Output Layer: 1 neurons. Returns mean square error between desired and actual outputs. Reference Papers: D. Karaboga, B. Basturk Akay, C. Ozturk, Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks, LNCS: Modeling Decisions for Artificial Intelligence, 4617/2007, 318-329, 2007. D. Karaboga, C. Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19(3), 279-292, 2009. */