Finite-difference-method

solar mppt model design

Implementation of Homomorphic filter in matlab with examples

说明：  贝叶斯网络的matlab实现。可以创建贝叶斯网络、训练模型，以及实现统计推理(Bayesian network Matlab achieve. Bayesian networks can create, model training, and the realization of statistical reasoning)

使用此函数来提取一个地理坐标输入字符串了。该功能非常灵活，因此，协调可能位于任何地方的字符串，并可能有许多的格式之一。 例子： txt2coord（ 100 ° 7 30“宽 ） txt2coord（ 100 ° 7 30 w 的） txt2coord（ -100 ° 7 30“ ） txt2coord（ 100 ° 75 w 的） txt2coord（ 100 .125 °以西 ） txt2coord（ 喇嘛100 °，7分钟 30 S喇嘛 ） txt2coord（{ 100 .125 ° w 的 -100.125 ° }） 所有指定的例子得出正确的结果（-100.125）。 我已经成功测试了多种不同的投入这一点。然而，正则表达式，这是在该文件中使用广泛，...嗯...他们有时有一个有趣的方式展示你，你没有带他们出去尚未完全想通。因此，我强烈建议你使用它之前的一些performe此功能完整性检查和将不胜感激，如果你向我报告任何错误。 (Use this function to extract one geographical coordinate out of an input string. The function is extremely flexible, thus the coordinate may be located anywhere in the string and may have one of many formats. Examples: txt2coord( 100° 7 30" W ) txt2coord( 100° 7´ 30´ ´ W ) txt2coord( -100° 7` 30" ) txt2coord( 100° 7.5 W ) txt2coord( 100.125° west ) txt2coord( bla 100°, 7min 30´ ´ S bla ) txt2coord({ 100.125° W -100.125° }) All specified examples yield the correct result (-100.125). I have successfully tested this with various inputs. Yet, regular expressions, which are extensively used in this file, ... well ... they sometimes have a funny way of showing you that you havn t quite figured them out yet. Therefore, I would strongly advice you to performe some sanity-check on this function before using it and would be greatful, if you report any bugs to me. )

介绍matlab中simulink的使用 对于通信仿真有用 并包含具体实例(were introduced Matlab Simulink for the use of Communication Simulation useful and contains specific examples)

SAR雷达多目标生成子函数，SAR雷达在斜视角etha下，雷达回波信号仿真 (multi targetes funcution)

对信号进行FFT、包络、峰值检波、PeakVue处理(The signal FFT, envelope, peak detector, PeakVue treatment)

Association Rule Mining and Deduction Analysis 1.1.4

compensation of dead time effect of the inverter dead time effect causes the impact of the control performance of the INVERTER system, and pointed out that the dead time compensation, the key lies in the current phase of the acquisition, in order to overcome the practical zero of the current ambiguity of the system is proposed based on the two-phase stationary coordinate system under the feedforward dead-time compensation method. by the offset voltage of the three-phase output current cycle Fourier transform is found only compensation 1, 5, 7 harmonic components to eliminate the dead time effect. simulation and experimental results verify the correctness and feasibility of this approach.

SVPWM的原理simulink模型，仿真速度稍微有些慢但是效果很好(SVPWM principle simulink model, simulation speed somewhat slow but very good)