利用Matlab 的Simulink工具箱设计一个控制系统框图dc motor

MATLAB 程序设计基础ppt讲义 幻灯片 内容属于入门级(MATLAB-based program design ppt lecture slides are entry-level content)

说明：  关于信号分析的GUI程序，关于信号分析的GUI程序(GUI on the signal analysis procedures, the GUI on the signal analysis procedures)

This function removes random, high frequency noise originating from the electrodes. a) First, we use a simple low-pass filter. b) Second, we apply Donoho s method by writing the code. c) Third, we simply apply Matlab s thr function. It should be noted that the considered mother wavelet is Symmlet8.

关于图像分割的，用MATLAB实现，希望有所帮助！(With regard to image segmentation, using MATLAB realization of the hope that helps!)

jedinicni impuls dirakov koj se koristi za pobudjivanje signala na ul azu her je dirakov impuls impuls beskonacno kratkog trenutka trajanja

Hilbert_OFDM for Power Line communication

说明：  BPSK仿真 仿真了在瑞利信道和加性高斯白噪声 下的调制和解调及误码率(The simulationof bpsk, input the signal in Rayleigh and awgn)

carlight1中是一个用C编的程序，用于计算每条光线在测试屏上的坐标(carlight 1 is a C series of the program, each ray is used to calculate the coordinates on the screen in the test)

Image Edge Extraction Algorithm Calculation of Lagrange and Newton

GM(1,1)模型1-4 1：GM(1,1)模拟模型，在matlab中的输入方法为gm1（x），x指要模拟的序列。 2：GM(1,1)预测模型，在matlab中的输入方法为gm2（x，K），x指要模拟的序列，K指从以后序列第一个数据算起的第k个待预测数据。 3：GM(1,1)群模拟模型，在matlab中的输入方法为gm3（x），x指要模拟的序列。 4：GM(1,1)群预测模型，在matlab中的输入方法为gm4（x，K），x指要模拟的序列，K指从以后序列第一个数据算起的第k个待预测数据。 gm4对序列趋势比较好的数据预测效果较好，对上下变动的数据，特别是后4个数据趋势跟前面的数据相反的，预测效果很差。 gm2对上下变动的数据，预测效果比gm4好，但对趋势较好的数据，预测精度没有gm4高。 gm3比gm1模拟精度要高。 可以以x=[1 3 5 7 9 11 13 15]进行实验。x输入默认行向量。 所有程序在matlab6.0上调试通过。(GM (1,1) 1-4 1 : GM (1,1) simulation model Matlab in the input method for gm1 (x), x entail simulation sequence. 2 : GM (1,1) model, in the Matlab input method for gm2 (x, K), x entail simulated sequence, from the K refers to the first series after a run of data k pending forecast data. 3 : GM (1,1)- simulation model, in the Matlab input method for gm3 (x), x entail simulation sequence. 4 : GM (1,1)- forecasting model, in the Matlab input method for gm4 (x, K), x entail simulated sequence, from the K refers to the first series after a run of data k pending forecast data. Gm4 right sequence relatively good trend data predicted better results, the next change in the data, especially after four data with the previous trend data contrary, predict poor. Gm2 next to the change in forecast resu)