bldcm

看到的一个有关图像锐化的MATLAB代码(See a MATLAB code for the image sharpening)

顾比移动平均线组合，用于MT4操作平台中的交易工具(Care than the combination of moving average for the MT4 trading platform in the tool)

一款用于用户，天线设计技术文件，直接学习就可以制作了，无需软件支持！(A refd raida wokes)

说明：  脑电地形图matlab代码，包括电极位置文件和使用说明，麻雀虽小五脏俱全，下载后可直接使用(BEAM matlab code, including electrode position files and instructions for use, small but perfectly formed, the download can be used directly)

field oriented control for induction motor

The model used for creating the reference voltage is shown in Fig. 4. First, photovoltaic output current (Ipv) and output voltage (Vpv) are passed through a first order low pass filter with a magnitude of G = 1 and a time constant of T = 0.01 seconds in order to filter out the high frequency components or harmonics from these signals as shown in Fig. 5 and Fig. 6. The filtered current and voltage signals (Ipv_F and Vpv_F) are then fed into the MPPT control block that uses the Incremental Conductance Tracking Algorithm. An algorithm that is based on the fact the slope of the PV array power curve shown in Fig. 7 is zero at the Maximum Power Point (MPP), positive on the left of the MPP, and negative on the right. The MPP can thus be tracked by comparing the instantaneous conductance (I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):

content based image retrival using piramidal structure wave let tera

this is simulation for logistic map using matlab to simulate the behavior of logistic map

TRAINDIFFEVOL(NET,Pd,Tl,Ai,Q,TS,VV) takes these inputs, NET - Neural network. Pd - Delayed input vectors. Tl - Layer target vectors. Ai - Initial input delay conditions. Q - Batch size. TS - Time steps. VV - Either empty matrix [] or structure of validation vectors. and returns, NET - Trained network. TR - Training record of various values over each epoch: TR.epoch - Epoch number. TR.perf - Training performance. TR.vperf - Validation performance. TR.tperf - Test performance. TR.mu - Adaptive mu value.

局部近似Taylor Series Expansion，全局近似Interpolation(Taylor Series Expansion，and Interpolation)