电动汽车充电负荷预测17869312EV-charging-load-forecast

数字信号处理，用matlab来实现对信号的处理，这本书 是基础，手把手的教你(Digital signal processing, using matlab to achieve signal processing, this book is the basis, teach you hands-on)

利用参数辨识法提取相关对准参数，从而估计出陀螺漂移和数学平台偏角并进行补偿。仿真结果表明，开路罗经法对准具有较高的对准精度、较好的快速性，能够满足捷联惯导系统在静基座下实现自对准的要求。(Expressions of mathematical platform misalignment angles of the open-loop algorithm are derived and parameter identification method is used to pick-up the corresponding coefficients from angle measurements in order to identify and compensate gyro drifts and platform misalignment．The simulation results show that the open circuit gyrocompass alignment of SINS can all meet the requirement of SINS initial alignment with high accuracy and quick reaction on static base. thus can meet the high-precision alignment requirement of carrier based inertial navigation system on swinging base． )

TextViewStubActivity extends Activity.List of "line number" entries, which are the contents of {@code LineNumberTable} attributes.

2016年中国图像图形学报 求质心的快速算法 免滤波 直接可以求得质心的位置 附带 matlab源代码！！(In 2016 the Chinese image and graphics Journal of the fast algorithm for the centroid of the fast algorithm can be obtained directly the center of the location of the matlab source code!!)

说明：  matlab函数库 介绍了matlab库中应用到的函数的功能及用法(matlab matlab library describes the function applied to the library functions and usage)

MATLAB_主要函数指令表(功能)MATLAB_主要函数指令表(功能)MATLAB_主要函数指令表(功能)MATLAB_主要函数指令表(功能)(The main function of MATLAB_ instruction table (feature))

velocity depth plot using matlab code

基于Matlab上，实现GMSK调制解调，Simulink文件。(Matlab-based, the realization of GMSK modulation and demodulation, Simulink files.)

这个程序可以自定义颜色选择框，因为matlab自带的uisetcolor在编译后的.exe中运行会导致窗口最小化，所以可以自定义颜色选择框(This procedure can customize the color selection box, because in uisetcolor built-in matlab compiled. Exe run will lead to minimized windows, so can customize the color selection box)

ASM是由Cootes和泰勒推出的多分辨率方法的一个例子。 基本思想： 在ASM模型训练，训练从手工绘制的图像轮廓。发现的ASM模型在训练使用主成分分析（PCA），使该模型自动识别数据的主要变化是，如果可能的轮廓/好的对象的轮廓。还包含了ASM模型的协方差矩阵描述行垂直纹理口岸时，在正确的位置。 (Description This is an example of the basic Active Shape Model (ASM) as introduced by Cootes and Taylor, with multi-resolution approach. Basic idea: The ASM model is trained from manually drawn contours in training images. The ASM model finds the main variations in the training data using Principal Component Analysis (PCA), which enables the model to automatically recognize if a contour is a possible/good object contour. Also the ASM models contains covariance matrices describing the texture of the lines perpendicular to the control points when in the correct positions. After creating the ASM model, an initial contour is deformed by finding the best texture match for the control points. This is an iterative process, in which the movement of the control points is limited by what the ASM model recognizes from the training data as a "normal" object contour. Literature: - Ginneken B. et al. "Active Shape Model Segmentation with Optimal Features", IEEE Transactions on Medical I)