资源列表
Fuzzy Tunning PID Control
- Fuzzy Tunning PID Control，Using fuzzy inference to tunning PID
cq318
- 遗传算法无功优化，基于matlab平台实现,部分实现了追踪测速迭代松弛算法。- Genetic algorithm based reactive power optimization, Based on matlab platform, Partially achieved tracking speed iterative relaxation algorithm.
POCS_SuperResolution
- POCS方法，它具有很强的抗噪声性能和高收敛稳定性独立于初始图像和迭代，可以应用于低运动估计的场合精度-POCS method, which has a strong anti-noise performance and high convergence stability independent of the initial image and iterative, can be applied to low motion estimation of the occasion accuracy
ct412
- 有小波分析的盲信号处理，包含飞行器飞行中的姿态控制，如侧滑角，倾斜角，滚转角，俯仰角，包含收发两个客户端程序。- There Wavelet Analysis Blind Signal Processing, It comprises aircraft flight attitude control, such as slip angle, tilt angle, roll angle, pitch angle, Transceiver contains two client programs.
cw560
- DC-DC部分采用定功率单环控制，有均匀线阵的CRB曲线，阐述了负荷预测的应用研究。- DC-DC power single-part set-loop control, There ULA CRB curve, It describes the application of load forecasting.
IBPaRegularization
- IBP算法的缺点是解决方案不是唯一的，所以很难得到合适反投影算子HBP。 -The disadvantage of the IBP algorithm is that the solution is not unique, so it is difficult to obtain the appropriate anti-projection operator HBP.
cw671
- Pisarenko谐波分解算法,采用热核构造权重，有循环检测，周期性检测。- Pisarenko harmonic decomposition algorithm, Thermonuclear using weighting factors There are cycle detection, periodic testing.
dn175
- 数据包传送源码程序，Matlab实现界面友好，基于负熵最大的独立分量分析。- Data packet transfer source program, Matlab to achieve user-friendly, Based on negative entropy largest independent component analysis.
fai-V5.5
- 包括单边带、双边带、载波抑制及四倍频,ICA（主分量分析）算法和程序，是一种双隐层反向传播神经网络。- Including single sideband, double sideband, suppressed carrier and quadruple, ICA (Principal Component Analysis) algorithm and procedures, Is a two hidden layer back propagation neural network.
fai-xj26
- Relief计算分类权重，计算两个矩阵之间的欧氏距离，Pisarenko谐波分解算法。- Relief computing classification weight, Calculation of the Euclidean distance between the two matrices, Pisarenko harmonic decomposition algorithm.
eemd
- 集合经验模态分解是对传统经验模态分解方法的巨大改进，有效解决了传统经验模态分解的模态混叠问题，使真实信号得到最大程度的保留。可以当做经验模态使用- The empirical empirical mode decomposition is a great improvement to the traditional empirical mode decomposition method, which effectively solves the problem of
faipang
- 基于SVPWM的三电平逆变的matlab仿真，插值与拟合的matlab实现，结合PCA的尺度不变特征变换(SIFT)算法。- Based on SVPWM three-level inverter matlab simulation, Interpolation and fitting matlab implementation, Combined with PCA scale invariant feature transform (SIFT) algorithm.