pq

In power engineering, the power flow study (also known as load-flow study) is an important tool involving numerical analysis applied to a power system.

This is a program for trajectory generation using Bezier Curve.

matlab code for beginers

电网谐波分析 用加汉明窗插值计算电网谐波频率 幅值 和相角。以快速傅里叶变化fft为基础(Harmonic analysis of power system using Hamming window interpolation calculation of the harmonic frequency amplitude and phase angle. The changes of FFT based on FFT)

预测控制里面PFC双值控制的实现，欢迎交流(programming for prediction control)

Use a Genetic Algorithm to find shaper parameters which best fit model response

symbol sequence statistics 符号序列统计源码(symbol sequence statistics Statistics source symbol sequence)

将指纹图像分为好、中、差三类，然后根据典型的质量指标在各类质量中的影响度来设定相关的权重，以此可以更准确的表示图像质量，提高指纹识别的后续处理的准确性，系统的稳定性(Fingerprint image is divided into good, normal and poor, and then the typical quality indicators in the quality of the impact of various degrees to set the associated weight, this can be a more accurate representation of image quality and follow-up to deal with fingerprint recognition accuracy, system stability)

generate two pn sequencees and find correlations

二次规划师非线性优化中的一种特殊情形，它的目标函数是二次实函数，约束函数都是线性函数。由于二次规划比较简单，便于求解（仅次于线性规划），并且一些非线性优化问题可以转化为求解一些列的二次规划问题，因此二次规划的求解方法较早引起人们的重视，称为求解非线性优化的一个重要途径。二次规划的算法较多，本文仅介绍求解等式约束凸二尺规划的拉格朗日方法以及求解一般约束凸二次规划的有效集方法。(Quadratic nonlinear optimization planners in a special case, its real objective function is a quadratic function, constraint functions are linear functions. Because of quadratic programming is relatively simple and easy to solve (after linear programming), and some non-linear optimization problem can be transformed into solving quadratic programming problems some columns, solving quadratic programming method therefore attracted attention earlier, saying an important way for solving nonlinear optimization. More quadratic programming algorithm, this paper describes only two feet Solving the Equality Constrained Convex Programming effective Lagrangian method and set method for solving general constrained convex quadratic programming.)