DF[DF_with_Selection]

这是AMI码的波形编辑和其付氏变换，以及功率普密度分析(This is the AMI code waveform editor and its Fourier transform, and the power density analysis Cape)

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)

?Ideal solution to add 802.11n to broadband platforms ?Cost effective, High performance, 802.11n AP/Router WLAN SoC ?Simple 802.11n integration to Ethernet equipped device Overview RT2880 MIMO Wireless Access Point/Router/iNIC SoC 802.11n 2T3R Solution featuring MIMObility?Technology

说明：  带挡板的传输线，二维电磁仿真，仿真方法为时域有限差分法(With a baffle of the transmission line, two-dimensional electromagnetic simulation)

这个是在matlab 中实现心电信号的读取和陷波器去除噪声，希望对大家能有帮助(this is a example for ECG designed in matlab,which including reading ECG and removing noise from ECG)

《精通MATLAB+GUI》光盘的内容和所有例子的源代码(" Proficient in MATLAB+ GUI" CD-ROM contents and the source code for all examples)

本程序利用MUSIC算法对角度进行二维估计，包括方位角和俯仰角，有一定的学习价值。。(This procedure using MUSIC algorithm to estimate the two-dimensional perspective, including azimuth and elevation, there is some learning value. .)

说明：  MATLAB编写的凸轮机构绕中轴线旋转的程序(MATLAB prepared by the cam rotation axis around which the procedure)

说明：  梯度-灰度共生矩阵的产生美能够计算一个灰度共生矩阵(Gradient co-occurrence matrix to produce beauty to calculate a gray level co-occurrence matrix)

PV_MPPT 很好的光伏最大功率跟踪控制(PV_MPPT good photovoltaic maximum power tracking control)