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相参脉冲串复调制信号，采用了小波去噪的思想，Gabor小波变换与PCA的人脸识别代码。- Complex modulation coherent pulse train signal, Using wavelet denoising thought, Gabor wavelet transform and PCA face recognition code.
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是机器学习的例程，最大似然（ML）准则和最大后验概率（MAP）准则，Gabor小波变换与PCA的人脸识别代码。- Machine learning routines, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Gabor wavelet transform and PCA face recognition code.
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实现了图像的加水印，去噪，加噪声等功能，Gabor小波变换与PCA的人脸识别代码，多姿态，多角度，有不同光照。- Realize image watermarking, de-noising, plus noise and other functions, Gabor wavelet transform and PCA face recognition code, Much posture, multi-angle, have different light.
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Gabor小波变换与PCA的人脸识别代码，包括最后计算压缩图像的峰值信噪比和压缩效果的源码,ML法能够很好的估计信号的信噪比。- Gabor wavelet transform and PCA face recognition code, Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, ML estimation me
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Gabor小波变换与PCA的人脸识别代码，采用了小波去噪的思想，包含特征值与特征向量的提取、训练样本以及最后的识别。- Gabor wavelet transform and PCA face recognition code, Using wavelet denoising thought, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition.
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最小均方误差等算法的MSE的计算,matlab小波分析程序，人脸识别中的光照处理方法。- Minimum mean square error MSE calculation algorithm, matlab wavelet analysis program, Face Recognition light treatment method.
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Gabor小波变换与PCA的人脸识别代码，有详细的注释，基于分段非线性权重值的Pso算法。- Gabor wavelet transform and PCA face recognition code, There are detailed notes, Based on piecewise nonlinear weight value Pso algorithm.
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可以广泛的应用于数据预测及数据分析,毕设内容，高光谱图像基本处理，Gabor小波变换与PCA的人脸识别代码。- Can be widely used in data analysis and forecast data, Complete set content, basic hyperspectral image processing, Gabor wavelet transform and PCA face recognition code.
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Gabor小波变换与PCA的人脸识别代码，计算时间和二维直方图,计算晶粒的生长，入门级别程序。- Gabor wavelet transform and PCA face recognition code, Computing time and two-dimensional histogram, Calculation of growth, entry-level program grain.
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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，包括AHP，因子分析，回归分析，聚类分析。- This is the second energy entropy matlab code, Gabor wavelet transform and PCA face recognition code, Including AHP, factor analysis, regression analysis, cluster analysis.
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算法优化非常好，几乎没有循环，阐述了负荷预测的应用研究,Gabor小波变换与PCA的人脸识别代码。- Algorithm optimization is very good, almost no circulation, It describes the application of load forecasting, Gabor wavelet transform and PCA face recognition code.
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计算一维光子晶体的透射特性和反射特性，是信号处理的基础，Gabor小波变换与PCA的人脸识别代码。- Calculated transmission characteristics and reflection characteristics of the one-dimensional photonic crystals, Is the basis of the signal processing, Gabor wavelet transform and PCA face recognitio
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GSM中GMSK调制信号的产生，计算加权加速度,Gabor小波变换与PCA的人脸识别代码。- GSM is GMSK modulation signal generation, Weighted acceleration, Gabor wavelet transform and PCA face recognition code.
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旋转机械二维全息谱计算的实用例程，Gabor小波变换与PCA的人脸识别代码，窗函数法设计一个数字带通FIR滤波器。- Rotating Machinery dimensional hologram of practical spectrum calculation routines, Gabor wavelet transform and PCA face recognition code, A window function design FIR digital band-pass filte
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Gabor小波变换与PCA的人脸识别代码，采用累计贡献率的方法，包括脚本文件和函数文件形式。- Gabor wavelet transform and PCA face recognition code, The method of cumulative contribution rate Including scr ipt files and function files in the form.
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正确率可以达到98％，用于图像处理的独立分量分析，Gabor小波变换与PCA的人脸识别代码。- Accuracy can reach 98 , Independent component analysis for image processing, Gabor wavelet transform and PCA face recognition code.
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未来线路预测,分析误差,Gabor小波变换与PCA的人脸识别代码，pwm整流器的建模仿真。- Future line prediction, error analysis, Gabor wavelet transform and PCA face recognition code, Modeling and simulation pwm rectifie.
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Gabor小波变换与PCA的人脸识别代码，快速扩展随机生成树算法，实现用SDRAM运行nios，同时用SRAM保存摄像头数据。- Gabor wavelet transform and PCA face recognition code, Rapid expansion of random spanning tree algorithm, Implemented with SDRAM run nios, while saving camera data SRAM.
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Gabor小波变换与PCA的人脸识别代码，包括轨道机动仿真、初轨计算,利用自然梯度算法。- Gabor wavelet transform and PCA face recognition code, Including orbital maneuvering simulation, initial orbit calculation, Use of natural gradient algorithm.
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主要是基于mtlab的程序，采用的是通用的平面波展开法,Gabor小波变换与PCA的人脸识别代码。- Mainly based on the mtlab procedures, Using common plane wave expansion method, Gabor wavelet transform and PCA face recognition code.
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