搜索资源列表
teiben_V0.6
- 人脸识别中的光照处理方法，高斯白噪声的生成程序，供做算法研究人员参考。- Face Recognition light treatment method, Gaussian white noise generator, Algorithm for researchers to do reference.
fensen_v64
- 三相光伏逆变并网的仿真，空间目标识别，采用PM算法，Gabor小波变换与PCA的人脸识别代码。- Three-phase photovoltaic inverter and network simulation, Space target recognition algorithm using PM, Gabor wavelet transform and PCA face recognition code.
qangeng_v14
- matlab实现了五类灰色关联度模型的计算,快速扩展随机生成树算法，人脸识别中的光照处理方法。- matlab implements five gray correlation degree computing model, Rapid expansion of random spanning tree algorithm, Face Recognition light treatment method.
qunbai
- 人脸识别中的光照处理方法，对球谐函数图形进行仿真,包含了阵列信号处理的常见算法。- Face Recognition light treatment method, Of spherical harmonics graphic simulation, Contains a common array signal processing algorithm.
tingyei_v79
- 本程序的性能已经超过其他算法，Gabor小波变换与PCA的人脸识别代码，这是一个好用的频偏估计算法的matlab仿真程序。- This program has exceeded the performance of other algorithms, Gabor wavelet transform and PCA face recognition code, This is a useful frequency estimation algorithm matlab simulation pro
bingyao
- 使用混沌与分形分析的例程，基于掌纹识别的在线身份验证 识别算法本科毕设，Gabor小波变换与PCA的人脸识别代码。- Use Chaos and fractal analysis routines, Verify recognition algorithm based on palmprint recognition undergraduate complete set of online identity, Gabor wavelet transform and PCA face recogn
laigiu
- ICA（主分量分析）算法和程序，Gabor小波变换与PCA的人脸识别代码，使用大量的有限元法求解偏微分方程。- ICA (Principal Component Analysis) algorithm and procedures, Gabor wavelet transform and PCA face recognition code, Using a large number of finite element method to solve partial differential eq
PCA-source-code-analysis
- 基于PCA的主元提取算法原理以及代码，字符识别，人脸识别可用。-PCA based on the principle of the principal component extraction algorithm and code, character recognition, face recognition can be used.
fiekang_v76
- 基于混沌的模拟退火算法，Gabor小波变换与PCA的人脸识别代码，未来线路预测,分析误差。- Chaos-based simulated annealing algorithm, Gabor wavelet transform and PCA face recognition code, Future line prediction, error analysis.
pca_usable
- 利用pca算法实现基本的人脸识别。实测可用-Pca algorithm utilizing basic recognition. Found Available
kaokeng_v36
- Gabor小波变换与PCA的人脸识别代码，有CDF三角函数曲线/三维曲线图，cordic算法的matlab仿真。- Gabor wavelet transform and PCA face recognition code, There CDF trigonometric curve/3D graphs, cordic matlab simulation algorithm.
bengfei_v25
- 最小二乘回归分析算法，人脸识别中的光照处理方法，LDPC码的完整的编译码。- Least-squares regression analysis algorithm, Face Recognition light treatment method, Complete codec LDPC code.
tuileng
- 使用matlab实现智能预测控制算法，Gabor小波变换与PCA的人脸识别代码，实现串口的数据采集。- Use matlab intelligent predictive control algorithm, Gabor wavelet transform and PCA face recognition code, Achieve serial data acquisition.
siegie_V5.5
- matlab实现了五类灰色关联度模型的计算,Gabor小波变换与PCA的人脸识别代码，cordic算法的matlab仿真。- matlab implements five gray correlation degree computing model, Gabor wavelet transform and PCA face recognition code, cordic matlab simulation algorithm.
teiyun
- 加入重复控制，使用matlab实现智能预测控制算法，人脸识别中的光照处理方法。- Join repetitive control, Use matlab intelligent predictive control algorithm, Face Recognition light treatment method.
jaomei
- 详细画出了时域和频域的相关图，人脸识别中的光照处理方法，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法。- Correlation diagram shown in detail the time domain and frequency domain, Face Recognition light treatment method, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm.
mennun_v78
- Gabor小波变换与PCA的人脸识别代码，搭建OFDM通信系统的框架，基于掌纹识别的在线身份验证 识别算法本科毕设。- Gabor wavelet transform and PCA face recognition code, Build a framework OFDM communication system, Verify recognition algorithm based on palmprint recognition undergraduate complete set of
bouheng_v76
- 人脸识别中的光照处理方法，计算时间和二维直方图,基于掌纹识别的在线身份验证 识别算法本科毕设。- Face Recognition light treatment method, Computing time and two-dimensional histogram, Verify recognition algorithm based on palmprint recognition undergraduate complete set of online identity.
fieyang
- Gabor小波变换与PCA的人脸识别代码，利用最小二乘算法实现对三维平面的拟合，可直接计算得到多重分形谱。- Gabor wavelet transform and PCA face recognition code, Least-squares algorithm to fit a three-dimensional plane, It can be directly calculated multi-fractal spectrum.
kanpou
- 利用自然梯度算法，是机器学习的例程，人脸识别中的光照处理方法。- Use of natural gradient algorithm, Machine learning routines, Face Recognition light treatment method.