gddemo

采用神经网络实现手写识别的一种方法，建立Bp神经网络，采用快速训练方法，可快速完成一类相关手写字体的模式识别，识别率较高，当字体变化较大识别率降低时，可重新训练具有较强的适应性。实验证实本方法较好实现了手写字符识别，但也存在识别速度较慢，有时训练不收敛等缺点(Handwriting recognition using neural network is a way to establish Bp neural network, using fast training methods, and can be related to the completion of a class of handwriting pattern recognition, recognition rate higher recognition rate when the font changed greatly reduced, they can re- Training has strong adaptability. Experiments confirmed that this method achieved a better handwritten character recognition, but there are also identified slow, and sometimes non-convergence of the training deficiencies)

This program print electric field pattern for rectangular Aperture Antenna

用于计算内弹道各参数，采用经典内弹道模型。(used to calculate The interior ballistic Parameters)

QAM modulation scheme for spreading codes gray

机器人控制系统的设计及其matlab仿真第8章“机器人自适应鲁棒控制”源代码(Robot control system design and its matlab simulation Chapter 8, " Robot Adaptive robust control" source code)

Simulation if the MIMO OFDM with frequency offset and multhipath channel

PSCAD学习资料，适合初学者学习应用，希望对大家有所帮住(PSCAD learning materials, suitable for beginners learning applications, we hope to help to live)

hybrid control and algorithm for inverted pendulum

Guide wave on a line

本文首先分别从光伏电池特性、Buck电路基本原理，最大功率跟踪方法、PI补偿、PWM调制等方面分别进行分析设计，最后利用Simulink对光伏发电系统进行了仿真，并对其进行最大功率跟踪。(Firstly separately the PV cell characteristics, Buck circuit basic principle, the maximum power point tracking method, PI compensation, PWM modulation and other aspects of analysis and design, respectively, and finally the use of Simulink for photovoltaic power generation system is simulated, and its maximum power point tracking.)