netcodingwirelesscommunication

在matlab中使用的16位有限脉冲响应滤波器，能正常使用(A Finite Impulse Response iir Filter Program in the matlab)

说明：  包含了Floyd算法、dijkstra算法、贪婪算法、遗传算法、搜索算法、蚁群算法、哈密顿环路的matlab源程序及相关说明。(Floyd algorithm is included, dijkstra algorithm, greedy algorithm, genetic algorithm, search algorithm, ant colony algorithm, Hamiltonian loop matlab source code and instructions.)

实现了数字信号处理在双音多频拨号系统中的应用，并用MATLAB实现。(Realization of the digital signal processing in a dual tone multi-frequency dialing system, and use MATLAB implementation.)

Simulink仿真基础主要介绍Simulink的引用方法和软件特点，是一种区别于Matlab的仿真工具软件(Introduces Simulink Simulink simulation-based reference methods and software features, is a distinguished software Matlab simulation tools)

ofdm基本功能,可以展示ofdm的基本功能图形并茂。(that is a foundamental techology)

扩展卡尔曼滤波源代码 希望能够对学习Kalman技术的朋友有所帮助(Extended Kalman filter source code hope to be able to learn from friends Kalman technical help)

解决背包问题 自动求解最大价值 利益最大化问题(Automatically solve the Knapsack Problem to maximize the interests of maximizing the value of solving the problem)

说明：  传统时频分析方法，包含STFT等matlab算法(Traditional time-frequency analysis methods, including STFT and other matlab algorithms)

This paper presents a new approach to image segmentation using Pillar K-means algorithm. This segmentation method includes a new mechanism for grouping the elements of high resolution images in order to improve accuracy and reduce the computation time. The system uses K-means for image segmentation optimized by the algorithm after Pillar. The Pillar algorithm considers the placement of pillars should be located as far from each other to resist the pressure distribution of a roof, as same as the number of centroids between the data distribution. This algorithm is able to optimize the K-means clustering for image segmentation in the aspects of accuracy and computation time. This algorithm distributes all initial centroids according to the maximum cumulative distance metric. This paper evaluates the proposed approach for image segmentation by comparing with K-means clustering algorithm and Gaussian mixture model and the participation of RGB, HSV, HSL and CIELAB color spaces.

实现蛙跳算法，对一系列的高维复杂函数，利用蛙跳算法求其最优值(To achieve the frog leaping algorithm, we use frog leaping algorithm to find the optimal value for a series of high-dimensional complex functions.)