jsgd-61

（信号与系统实验GUI）本软件针对信号与系统这门课的特点，以信号分析和系统分析作为展示课程内容的主线编写而。信号分析和系统分析两个模块包含了丰富的功能可供使用者参考。((Signal and System Experiment GUI) The software for signal and system characteristics of this course to signal analysis and system analysis as a showcase for the preparation and main course content. Signal analysis and system analysis two modules contain a wealth of features for users' reference.)

File 1: THIS CODE IS USED TO DRAW THE PUMP CURVES AT DIFFERENT PUMP SPEED 1: PUMP CURVE 2: EFFICIENCY CURVE 3: BREAK HORSEPOWER CURVE 4: KW-INPUT CURVE File 2: THIS CODE IS FOR APPLYING THE WAY OF CALCULATING THE EFFICIENCY, POWER AND KW-INPUT FOR VARIABLE SPEED PUMP AT A GIVEN DESIRED HEAD AND DESIRED FLOW AS SHOWN IN THE PAPER TITLED: " how to calculate the pump efficiency and power for variable speed pump" File 3: this code is to correct the use of affinity law by shifting the curve to intersect with the system-curve at the desired flow as shown in the paper titled: "The Correct Method of Calculating Energy Savings to Justify Adjustable-Frequency Drives on Pumps"

基于MATLAB语言，对于图像的八个位面图的编码，更加理解图像的主分量，以及高频噪声(Based on the MATLAB language, for the 8-bit plane map image coding, better understand the main components of the image, as well as high-frequency noise)

说明：  MATLAB 的使用说明，应该会对大家有很多帮助的，欢迎下载(MATLAB' s instructions, should we have a lot of help will be welcome to download)

分析非平稳信号的工具包，时频工具包，能帮你分析非平稳信号(Analysis Toolkit non-stationary signals, time-frequency toolkit can help you analyze non-stationary signals)

backwardfoeward load flow for distribution network

分布式电源并网动态无功优化调度的研究，本科论文，根据分布式电源并网的控制特性，将分布式电源设计为电压控制型和无功补偿型，考虑其与地区电网的电压无功控制 手段相结合，参与地区电网动态无功优化调度。建立以降低地区电网网损、抑制电压波动为综合目标的地区电网模糊动态无 功优化调度模型。(Study on dynamic reactive power optimization dispatching for a local power system with distributed generators)

基于MATLAB实现的说话人识别程序，分别用bp、pnn、som、rbf、lvq等算法，对语音文件进行训练和测试，效果不错。~..~ 下面说明一下bprengong程序： 数据分别用来训练和测试两部分。 具体程序分为两部分，第一部分为：计算识别模型 变量v是mfcc处理以后的矢量。因为数据可能长短不一，所以放在同一进行截取。p的每一行代表一个语音数据（共15个）。变量Pr为每一行的最大最小值。变量T为目标值。输出神经元个数为15。 在训练阶段，如果用于训练的输入训练样本的类别标号为i（即语音数据的标号），则训练时设第i个节点的期望输出设为1。其余节点期望输出均为0。 在识别时，当一个未知类别的样本作用到输入端时，考查各输出节点的输出，并将这个样本的类别判定为输出值最大的那个节点对应的类别。 (err)

三维直角坐标系FDTD应用UPML吸收边界条件，激励源为高斯脉冲(Three-dimensional Cartesian coordinate system FDTD application UPML absorbing boundary conditions, excitation source for the Gaussian pulse)

轴承故障谱峭度分析，打开直接运行，包含包络谱分析(Bearing failure analysis of spectral kurtosis, open directly run, including envelope spectrum analysis)