tracking_Balace_Accelerate

基于lcL滤波器的三电平有源电力滤波器（APF）的仿真设计，包括（谐波检测， 电流跟踪环节）（SPWM调制） 离散域(Based on the three-level lcL filter active power filter (APF) simulation design, including (harmonic detection, current tracking link) (SPWM modulation) discrete domains)

LPC voice compression and decompression example

matlab编写的粒子滤波算法，已经在工程样机上得到验证，希望对大家有帮助(matlab prepared particle filter algorithm, the engineering prototype has been tested on, and they hope to have everyone help)

Plate number recognition using Matlab program.It is segmentation process.

跳频系统的仿真,适合于初学者，算法还算清晰，还不错，希望对你有用(Simulation frequency hopping systems, suitable for beginners, the algorithm is fairly clear, well, I hope useful to you)

用matlab实现对已知数据的非线性拟合及数据预测(Using matlab implementation of the known non-linear fitting of data and data prediction)

simulink model for fft/ifft

在信号分析中，我们常把信号进行矢量分解，也就是将信号分解为频率相同、峰值幅度相同但相位相差90的两个分量。该程序实现将信号分解为I路和Q路。(In signal analysis , we often decompose the signal vector , that is, the signal is decomposed into the same frequency , the peak amplitude of phase 90 of the same, but the two components . The program implementation will signal into I and Q branches .)

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)

proramm for siemins s7 200 how to use encoder with plc