laser3

VC++和MATALB混合编程,图象处理(源码)(VC++ and MATALB mixed programming, image processing (source code))

图像融合的matlab工具包，希望大家能用得到。(Image fusion matlab toolkit, hope everyone can get.)

Takagi-Sugeno fuzzy models are based on the concept of fuzzy coding of information and operating with fuzzy sets instead of numbers

fuzzy c-means clustering

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. */

single input single output OFDM system with lest square detection

功能：对矩阵A的左上角的m阶对角块作QR变换：先用Givens变换作QR分解A=QR， 再作相似变换A:=Q AQ=RQ. 输入: n阶HessenbergA，其中A(m+1,m)=0,m>2. 输出: 变换后的Hessenberg形矩阵A. 2 用基本QR算法求实方阵的全部特征值.(Function: the upper left corner of the matrix A, diagonal blocks of order m to QR transformation: first, to make QR decomposition using Givens transformations A = QR, re-similarity transformation A: = Q' AQ = RQ. Input: n-order HessenbergA, where A (m+1, m) = 0, m> 2. Output: transformed Hessenberg form matrix A. 2 matrix with the basic QR algorithm for all the characteristics of the value of truth-seeking.)

THIS PROGRAM IS FOR THE MODULATION MATLAB AM, FM, PM

This is a matlab ea, implements a high pass filter

硕士论文，基于机器视觉苹果检测算法的研究。主要内容包括：1、国内外研究现状及进展 2、苹果图像采集与处理 3、苹果大小与形状检测 4、粒子群优化的BP神经网络苹果颜色检测算法 5、遗传算法优化BP神经网络苹果缺陷检测算法 6、苹果检测系统的软件、硬件及界面设计(Research on Apple detection algorithm based on machine vision. The main contents include: 1, the domestic and foreign research present situation and the progress of 2, apple image acquisition and processing 3, the shape and size of Apple detection 4, particle swarm optimization of BP neural network in apple color detection algorithm 5, genetic algorithm optimization BP neural network for Apple defect detection algorithm 6, apple detection system software, hardware and interface design)