master_matlab

说明：  基于改进粒子群算法的节能调度下多目标负荷最优分配基于改进粒子群算法的节能调度下多目标负荷最优分配(Particle swarm optimization based on improved energy-saving scheduling optimal allocation under the multi-objective particle swarm optimization based on improved energy-efficient multi-objective scheduling optimal allocation under)

UWB，超宽带信号分析必用的子函数，第17部分！(UWB, ultra-wideband signal analysis will be used for Functions, Part 17!)

基于多元线性回归、偏最小二乘、神经网络、卡尔漫滤波、径向基网络、主成分分析等等的程序。可用于建模和预测。(Based on multiple linear regression, partial least squares, neural networks, Carl diffuse filtering, radial basis networks, and so on principal component analysis procedure. Can be used for modeling and prediction.)

说明：  信号的时间宽度和频率带宽反映的是 、 围绕 和 的扩展程度，信号的带宽（ ）完全由幅度、幅度的导数及相位的导数所决定。称T和B分别为信号 的时宽和带宽，TB称为时宽－带宽积,。此程序用于计算信号的时间宽度和频率带宽。(Signal time width and frequency bandwidth of reflected that and it spreads around the signal bandwidth () completely by the magnitude, amplitude and phase derivative of the derivative of the decision. Called T and B respectively when the signal width and bandwidth, TB is called when the wide- bandwidth product. This program is used to calculate the width of the signal time and frequency bandwidth.)

实现对眼睛的识别，以及实现多帧图像的连续跟踪。用matlab实现，里面有测试图片。(To achieve recognition of the eyes, as well as the realization of multi-frame images of continuous tracking. Using matlab to achieve, there are test images.)

this is increment area method to forecast sedimentation in dams reserviour

convolution code in matlam code language

说明：  《MATLAB数字信号处理85个实用案例精讲:入门到进阶》特点是主要通过案例说明在数字信号处理基础部分编程中常出现的错误和解决方法。《MATLAB数字信号处理85个实用案例精讲:入门到进阶》适用于数字信号处理的初学者，亦可供高年级本科生、研究生和科研工程技术人员参考。("Matlab Digital Signal Processing 85 Practical Cases: Introductory to Advanced" is characterized by cases that illustrate the errors and solutions that often occur in the basic programming of digital signal processing. "Matlab Digital Signal Processing 85 Practical Cases: Introduction to Advanced" is suitable for beginners in digital signal processing, and can also be used as a reference for senior undergraduates, graduate students, and scientific research and engineering technicians.)

多传感器数据融合：将MATLAB语言应用到多传感器数据融合中，书中给出了大量的仿真实例(multisensor Data Fusion with matlab)

this modified PSO algorithm can solve for constrained optimization problem