资源列表
Exemplo-Particle-Filter
- Exemplo Particle Filter Dan Simon
Filtro-de-Particulas-(MATLAB)
- Resamplings Particle Filter (Multinomial, Stratified, Systematic, Residual, etc...)
Algoritmo-bioinspirado-AIS
- Bioinspired algorithm immune system (AIS)
Exercicio-ULA-VHDL
- Exercise ULA (arithmetic logic unit) in VHDL
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.
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-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.