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讲Hilbert变换的一本书，本人做课题时看过很不错。不过是英文原版的。(Stresses Hilbert Transform a book, I read to do when the subject is pretty good. But are the English original.)

说明：  出一种新 的SVPWM 算法。采用SPWM 中调制波与载波相比较的规则采样思路，通过在静止坐标系下直接 计算每个参考电压矢量所对应的三相调制波的函数值，进而得到每相电压在一个PWM 周期中的占空比。(A new SVPWM algorithm. SPWM modulation used in the carrier wave, compared with the rules of sampling ideas, through the static coordinate system directly calculated for each reference voltage corresponding to the three-phase vector modulation wave function, which has been in a phase voltage of each PWM cycle accounting air ratio.)

matlab detal ied introduction explantation lecture 3

计算泊松方程的方程程序算法。计算物理的非常经典的算法之一。(An algorithm for calculating the Poisson equation. One of the very classic algorithms for computing physics)

说明：  光伏列阵simulink仿真模型。运行可用。4*1的列阵，可看多峰(Simulation model of photovoltaic array based on Simulink. Run available. 4 * 1 array, multi peak)

PLL锁相环的角度生成问题，角度的代入运算前的修正问题，总算是解决了！(PLL PLL angle generation problem, the angle of substitution before the operation to fix the problem, finally solved!)

本书详细介绍Mathematica的使用方法，本书使用最普遍的PDF阅读器阅读，共325页。应该说明Mathematica并非matlab。(The book details the use of Mathematica, the book most commonly used PDF reader to read a total of 325. It should be noted that Mathematica is not matlab.)

fft算法实现，通过matlab语言实现对fft算法的变成实现(solve fft)

功能[DATAOUT]= PGA（DATAIN），执行相位梯度 ％ISAR自动对焦。 ％ ％DATAIN ISAR范围内的实时数据。 DATAOUT％范围内的实时数据已被删除平移 ％相位误差。 ％ ％参考： ％D.E.瓦尔，P.H.艾歇尔，特区吉利亚，C.V. Jakowatz，“相 ％梯度自聚焦一个强大的工具，用于高分辨率SAR相 ％修正“，硕士论文。航空。＆电子系统，第30卷，3，1994。(function [dataout]=PGA(datain) performs phase gradient autofocus of ISAR. datain is range-time data of ISAR. dataout is range-time data that have been removed translational phase error. Reference: D.E. Wahl, P.H. Eichel, D.C. Ghiglia, C.V. Jakowatz, "Phase gradient autofocus-a robust tool for high resolution SAR phase correction," IEEE Trans. Aero. & Elec. Sys., vol. 30, no. 3, 1994.)

这是实现MATLAB并行配置的技术资料，随着大数据时代的到来，越来越多的数据需要经过处理，并且目前的硬件已经满足不了这么多的数据的处理，因此并行计算成为了首选(This is the realization of technical information MATLAB parallel configuration, with the arrival of the era of big data, more data needs to be processed, and the current hardware has failed to meet so many data processing, parallel computing has become the preferred therefore)