多目标信息融合

support vector machine for demand forcasting

本程序是基于机动目标跟踪课题的整个算法程序，其中包括卡尔曼，扩展卡尔曼和粒子滤波程序及其仿真代码和仿真的图形。(This procedure is based on the subject of maneuvering target tracking algorithm for the whole procedure, including Kalman, extended Kalman and particle filter process and its simulation code and simulation graphics.)

摘 　要:阐述了数字滤波器的设计方法 ,分析了运用 MATLAB软件进行 IIR和 FIR数字滤波器设计的过程。 研究 与实践表明:教学中 ,运用 MATLAB软件进行数字滤波器设计及实现 ,可增强学生的感性认识 ,加深对数字滤波器 设计基本原理的理解 ,改善教学效果。(Abstract: This paper describes the design of digital filter methods, analysis of the use of MATLAB software IIR and FIR digital filter design process. Research and practice shows that: teaching, the use of MATLAB software digital filter design and realization of perceptual knowledge to enhance students understanding of the basic principles of digital filter design understanding, enhance the effectiveness of teaching.)

云计算是一种商业计算模型。它将计算任务分布在大量计算机构成的资源池上，使各种应用系统能够根据需要获取计算力、存储空间和信息服务。 (Cloud computing is a business computing model. It computational tasks are distributed in a large number of computer resources of Ikegami, a variety of applications based on the need for computing power, storage space and information services.)

NCUT切割，对源码进行了改进，改进后取消了只能压缩到160*160才能切割的限制(NCUT cutting, source code improvements, improved to cancel restrictions can only be compressed to 160* 160 to cut)

　《先进PID控制MATLAB仿真（第3版）》每种方法都给出了算法推导、实例分析和相应的MATLAB仿真设计程序。 　　(Advanced PID control Matlab simulation )

蚁群算法+Dijkstra算法=二维路径规划(Ant colony algorithm+Dijkstra algorithm-two-dimensional path planning)

说明：  uwb各种程序，可以产生信号、冲激响应等等各类仿真任务完美完成(UWB programs can generate signals, impulse response and other simulation tasks to complete perfectly)

本书提供了使用MATLAB的实践性指导。本书是一本简明的MATLAB参考书，既适用于初学者，也适用于高级MATLAB用户。(This book provides the use of MATLAB practical guidance. This book is a concise MATLAB reference books, applies to both beginners, also suitable for senior MATLAB users. )

说明：  边缘检测是图形图像处理、计算机视觉和机器视觉中的一个基本工具，通常用于特征提取和特征检测，旨在检测一张数字图像中有明显变化的边缘或者不连续的区域，在一维空间中，类似的操作被称作步长检测（step detection）。(Edge detection is a basic tool in graphics and image processing, computer vision and machine vision. It is usually used for feature extraction and feature detection. It aims to detect the edge or discontinuous area with obvious changes in a digital image. In one-dimensional space, similar operations are called step detection)