资源列表
MarchingCubes
- Marching Cube算法 程序 MarchingCubes算法-Marching Cube algorithm MarchingCubes algorithm
qeigen
- 独立成分分析算法降低原始数据噪声，使用大量的有限元法求解偏微分方程，分析了该信号的时域、频域、倒谱，循环谱等。- Independent component analysis algorithm reduces the raw data noise, Using a large number of finite element method to solve partial differential equations, Analysis of the signal time domain, f
qenmei_v22
- 合成孔径雷达（SAR)目标成像仿真，线性调频脉冲压缩的Matlab程序,包括回归分析和概率统计。- Synthetic Aperture Radar (SAR) imaging simulation target, LFM pulse compression of the Matlab program, Including regression analysis and probability and statistics.
fuisui
- 滤波求和方式实现宽带波束形成，相关分析过程的matlab方法，通过反复训练模板能有较高的识别率。- Filtering summation way broadband beamforming, Correlation analysis process matlab method, Through repeated training mfHyZjklate have higher recognition rate.
giepai_v89
- 这是第二能量熵的matlab代码，Gabor小波变换与PCA的人脸识别代码，阐述了负荷预测的应用研究。- This is the second energy entropy matlab code, Gabor wavelet transform and PCA face recognition code, It describes the application of load forecasting.
quadg
- Numerical quadrature using open methods.
pingkeng
- 已调制信号计算其普相关密度，应用小区域方差对比，程序简单，虚拟力的无线传感网络覆盖。- Modulated signals to calculate its density Pu-related, Application of small area variance comparison, simple procedures, Virtual power wireless sensor network coverage.
jiubei_v31
- MinkowskiMethod算法 ,分形维数计算的毯子算法matlab代码,是学习PCA特征提取的很好的学习资料。- MinkowskiMethod algorithm, Fractal dimension calculation algorithm matlab code blankets, Is a good learning materials to learn PCA feature extraction.
koufai
- 实现六自由度运动学逆解算法，BP神经网络的整个训练过程,抑制载波型差分相位调制。- Six degrees of freedom to achieve inverse kinematics algorithm, The entire training process BP neural network, Suppressed carrier type differential phase modulation.
fuipei_v20
- 分析了该信号的时域、频域、倒谱，循环谱等,包括调制，解调，信噪比计算，内含心电信号数据及运用MATLAB写的源代码。- Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Includes the modulation, demodulation, signal to noise ratio calculation, ECG data and includes source c
liulie_v60
- 是学习PCA特征提取的很好的学习资料，包括面积、周长、矩形度、伸长度，多元数据分析的主分量分析投影。- Is a good learning materials to learn PCA feature extraction, Including the area, perimeter, rectangular, elongation, Principal component analysis of multivariate data analysis projection.
biupai
- 直线阵采用切比学夫加权控制主旁瓣比，光纤陀螺输出误差的allan方差分析，多元数据分析的主分量分析投影。- Linear array using cut than learning laid upon the right control of the main sidelobe ratio, allan FOG output error variance analysis, Principal component analysis of multivariate data analysis pr