my_inverter

matlab与VC很不错的。肯定不少人需要吧。(matlab with the VC is very good. Certainly a lot of people need it.)

无线传感器网络定位的定位算法，英文，多篇，好好看，对做定位的人有帮助 (The positioning of wireless sensor network localization algorithm, in English, many articles, good to see, and do help people locate)

使用非定常涡格法(UVLM)计算一种简单扑翼机的升力。对应文献Time Domain Modeling of Unsteady Aerodynamic Forces on a Flapping Airfoil -Eric Durand（MIT Master thesis）(Unsteady vortex lattice method (UVLM) a simple flapping wing machine lift. Corresponding literature Time Domain Modeling of Unsteady Aerodynamic Forces on a Flapping Airfoil-Eric Durand (MIT Master thesis))

主要应用Matlab来实现图像的盲源分离而且是三个图像的处理问题采用的方法是FastICA算法(The main application of Matlab to achieve blind source separation method for processing an image problem and is three images FastICA algorithm is used)

UDP测试上位机-基于matlab GUI编写(UDP unlaod machine by matlab)

仿真了MIMO中的2*2，以及注水定理,里面有详尽的解释(Implement a 2x2 scheme using dominant eigenmode transmission.)

说明：  ：该文首先研究了单认知用户能量检测算法的检测性能和检测灵敏度与检测时长和噪声短时间内平均功率波 动性之间的关系，得出检测性能和检测灵敏度随噪声短时间内平均功率波动性的增大而急剧下降的结论，在低信噪 比时尤为明显；针对检测性能和检测灵敏度随噪声短时间内平均功率波动性的增大而急剧下降，提出了基于多用户 协同能量检测算法。仿真表明，在低信噪比环境下，即使噪声短时间内的平均功率存在较大的波动性，只要适当地 增加协同检测的用户数，仍可获得较为准确的检测性能。(In this paper, detection performance and detection sensitivity with detection duration and noise average power fluctuation in short time is investigated firstly. Performance accuracy and detection sensitivity drop quickly with noise average power fluctuation increasing and it is worse when signal-to-noise ratio lower. Considering the characteristic, a novel new energy detection algorithm based on cooperative is presented. Simulations show that the proposed scheme improves antagonism of noise average power fluctuation in short time and gets a good detection performance as long as increasing the number of cooperative detection users.)

永磁同步电机矢量控制开环Simulink模型（基于Park，Clark变换，即2/3变换）(Hardware-in-loop electrical motor FOC open loop Simulink model)

在matlab环境下，对数据进行滑动平均滤波(Moving average filter in Matlab environment, the data)

BP神经网络模型的建立过程，并利用模型来验证模型的准确性。两部分输入输出数据(BP neural network modeling process and use the model to verify the accuracy of the model. The two input and output data)