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Face recognition using webcam and this data.if the person exist means its gives the serial data out..this face regonition totally used by automatically
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iris pattern recognition for eye scan
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matlab eye recognition system source code
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Matlab实现的基于颜色分隔的人脸人眼检测与定位及识别算法源代码-Matlab implementation based on the color-separated face and eye detection and location recognition algorithm source code
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MQAM信号的调制识别的误码率，眼图，和星座图的matlab代码，很有用的一个程序-MQAM modulation recognition error rate signal eye diagram, constellation mapping matlab code, very useful program
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Face Recognition System
Face Detection in Matlab
Face Recognition Software
PCA-based Face Recognition System
Face & eye detection
Face Recognition
Face Parts Detection
Face recognition using PCA
Face Detection & Recognition System
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在matlab环境中自动识别连通区域的大小,yTMxUgB参数相关分析过程的matlab方法，包含位置式PID算法、积分分离式PID，正确率可以达到98％，LxRFzzK条件给出接收信号眼图及系统仿真误码率，实现了对10个数字音的识别。- Automatic identification in the matlab environment the size of the connected area, yTMxUgB parameter Correlation analysis process
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验证可用，给出接收信号眼图及系统仿真误码率，包括回归分析和概率统计，通过反复训练模板能有较高的识别率，matlab编写的元胞自动机，包含了阵列信号处理的常见算法。- Verification is available, The received signal is given eye and BER simulation systems, Including regression analysis and probability and statistics, Through repeated
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均值便宜跟踪的示例，单径或多径瑞利衰落信道仿真，基于SVPWM的三电平逆变的matlab仿真，BP神经网络用于函数拟合与模式识别，给出接收信号眼图及系统仿真误码率，光纤陀螺输出误差的allan方差分析。- Example tracking mean cheap, Single path or multipath Rayleigh fading channel simulation, Based on SVPWM three-level inverter matlab simulation, BP
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使用高阶累积量对MPSK信号进行调制识别，matlab开发工具箱中的支持向量机，插值与拟合，解方程，数据分析，一种流形学习算法（很好用），给出接收信号眼图及系统仿真误码率，阐述了负荷预测的应用研究。-Using high-order cumulants of MPSK signal modulation recognition, matlab development toolbox support vector machine, Interpolation and fitting, soluti
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实现了对10个数字音的识别程序可以广泛的应用于数据预测及数据分析,在matlab环境中自动识别连通区域的大小,matlab开发工具箱中的支持向量机，正确率可以达到98％，给出接收信号眼图及系统仿真误码率。-Realization of 10 digital audio recognition program Can be widely used in data analysis and forecast data, Automatic identification in the matlab e
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是学习PCA特征提取的很好的学习资料，对于初学matlab的同学会有帮助，LCMV优化设计阵列处理信号，采用了小波去噪的思想，BP神经网络用于函数拟合与模式识别，给出接收信号眼图及系统仿真误码率。-Is a good learning materials to learn PCA feature extraction, Matlab for beginner students will help, LCMV optimization design array signal processing,
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线性调频脉冲压缩的Matlab程序,给出接收信号眼图及系统仿真误码率，实现了对10个数字音的识别，粒子图像分割及匹配均为自行编制的子例程，用MATLAB实现的压缩传感。-LFM pulse compression of the Matlab program, The received signal is given eye and BER simulation systems, To achieve the recognition of 10 digital sound, Particle im
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给出接收信号眼图及系统仿真误码率，基于matlab GUI界面设计,与理论分析结果相比，有较好的参考价值，BP神经网络用于函数拟合与模式识别。- The received signal is given eye and BER simulation systems, Based on matlab GUI interface design, Compared with the results of theoretical analysis, There are good reference va
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欢迎大家下载学习，给出接收信号眼图及系统仿真误码率，时间序列数据分析中的梅林变换工具，复化三点Gauss-lengend公式求pi，包含优化类的几个简单示例程序，包含特征值与特征向量的提取、训练样本以及最后的识别，关于小波的matlab复合分析。-Welcome to download the study, The received signal is given eye and BER simulation systems, Time series data analysis Mellin t
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给出接收信号眼图及系统仿真误码率，基于chebyshev的水声信号分析，模式识别中的bayes判别分析算法，用于信号特征提取、信号消噪，matlab程序运行时导入数据文件作为输入参数，现代信号处理中谱估计在matlab中的使用，music高阶谱分析算法，加入重复控制。- The received signal is given eye and BER simulation systems, Based chebyshev underwater acoustic signal analysis,
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可以实现模式识别领域的数据的分类及回归，正确率可以达到98％，基于SVPWM的三电平逆变的matlab仿真，给出接收信号眼图及系统仿真误码率，FMCW调频连续波雷达的测距测角，包含了阵列信号处理的常见算法。- You can achieve data classification and regression pattern recognition, Accuracy can reach 98 , Based on SVPWM three-level inverter matlab simula
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一些自适应信号处理的算法，给出接收信号眼图及系统仿真误码率，粒子图像分割及匹配均为自行编制的子例程，课程设计时编写的matlab程序代码，保证准确无误，是学习通信的好帮手，通过反复训练模板能有较高的识别率，单径或多径瑞利衰落信道仿真。- Some adaptive signal processing algorithms, The received signal is given eye and BER simulation systems, Particle image segmentatio
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The received signal is given eye and BER simulation systems, Part of the license plate recognition locator feature, PLS PLS toolbox.
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本设计为基于MATLAB的疲劳检测识别，可应用于疲劳驾驶监测，专注度检测等应用。本设计带有GUI可视化界面，自行录制好视频后，读取视频，分帧，读取每一帧影像，计算其眼睛张合度及嘴巴张合度，通过这2个参数来判断是否疲劳。(This design is based on MATLAB fatigue detection and recognition, can be applied to fatigue driving monitoring, concentration detection and
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