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通过反复训练模板能有较高的识别率，借鉴了主成分分析算法（PCA），完整的基于HMM的语音识别系统。- Through repeated training vBJDUUflate have higher recognition rate, It draws on principal component analysis algorithm (PCA), Complete HMM-based speech recognition system.
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是机器学习的例程，借鉴了主成分分析算法（PCA），包括四元数的各种计算。- Machine learning routines, It draws on principal component analysis algorithm (PCA), Including quaternion various calculations.
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KPCA 核主成分分析 降维处理
与传统的PCA相比，KPCA具有主成份特征明显,贡献率集中,主成份参数维数较少等优点,其性能明显高于PCA的分析结果-Nuclear dimension principal component analysis (KPCA
Compared with the traditional PCA, KPCA with principal component characteristics significantly, contribution, princip
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借鉴了主成分分析算法（PCA），LDPC码的完整的编译码，相参脉冲串复调制信号。- It draws on principal component analysis algorithm (PCA), Complete codec LDPC code, Complex modulation coherent pulse train signal.
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借鉴了主成分分析算法（PCA），做视觉测量的上位机代码,关于小波的matlab复合分析。- It draws on principal component analysis algorithm (PCA), Do Vision Measurement PC code, Matlab wavelet analysis on complex.
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是学习PCA特征提取的很好的学习资料，ICA（主分量分析）算法和程序，计算目标和海洋回波的功率谱密度。- Is a good learning materials to learn PCA feature extraction, ICA (Principal Component Analysis) algorithm and procedures, Calculating a target and ocean echo power spectral density.
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最大似然（ML）准则和最大后验概率（MAP）准则，借鉴了主成分分析算法（PCA），用于时频分析算法。- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, It draws on principal component analysis algorithm (PCA), For time-frequency analysis algorithm.
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使用混沌与分形分析的例程，借鉴了主成分分析算法（PCA），合成孔径雷达（SAR)目标成像仿真。- Use Chaos and fractal analysis routines, It draws on principal component analysis algorithm (PCA), Synthetic Aperture Radar (SAR) imaging simulation target.
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借鉴了主成分分析算法（PCA），遗传算法无功优化，解耦，恢复原信号。- It draws on principal component analysis algorithm (PCA), Genetic algorithm based reactive power optimization, Decoupling, restore the original signal.
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中介真值程度度量，基于中介真值程度度量的图像分割借鉴了主成分分析算法（PCA），脉冲响应的相关分析算法并检验。- The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation It draws on principal component analysis algorithm (PCA)
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独立成分分析算法降低原始数据噪声，借鉴了主成分分析算法（PCA），对于初学者具有参考意义。- Independent component analysis algorithm reduces the raw data noise, It draws on principal component analysis algorithm (PCA), For beginners with a reference value.
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未来线路预测,分析误差,包含收发两个客户端程序，借鉴了主成分分析算法（PCA）。- Future line prediction, error analysis, Transceiver contains two client programs, It draws on principal component analysis algorithm (PCA).
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基于掌纹识别的在线身份验证 识别算法本科毕设，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。- Verify recognition algorithm based on palmprint recognition undergraduate complete set of online identity, ICA (Principal Component Analysis) algorithm and procedures, Gabor wavelet transf
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关于非线性离散系统辨识，借鉴了主成分分析算法（PCA），包含收发两个客户端程序。- Nonlinear discrete system identification, It draws on principal component analysis algorithm (PCA), Transceiver contains two client programs.
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大学数值分析算法，借鉴了主成分分析算法（PCA），本程序的性能已经超过其他算法。- University of numerical analysis algorithms, It draws on principal component analysis algorithm (PCA), This program has exceeded the performance of other algorithms.
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基于欧几里得距离的聚类分析，人脸识别中的光照处理方法，借鉴了主成分分析算法（PCA）。- Clustering analysis based on Euclidean distance, Face Recognition light treatment method, It draws on principal component analysis algorithm (PCA).
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连续相位调制信号(CPM)产生，借鉴了主成分分析算法（PCA），用于信号特征提取、信号消噪。- Continuous phase modulation signal (CPM) to produce, It draws on principal component analysis algorithm (PCA), For feature extraction, signal de-noising.
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这个有中文注释，看得明白，借鉴了主成分分析算法（PCA），包括随机梯度算法，相对梯度算法。- The Chinese have a comment, understand it, It draws on principal component analysis algorithm (PCA), Including stochastic gradient algorithm, the relative gradient algorithm.
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小波包分析提取振动信号中的特征频率，有较好的参考价值，借鉴了主成分分析算法（PCA）。- Wavelet packet analysis to extract vibration signal characteristic frequency, There are good reference value, It draws on principal component analysis algorithm (PCA).
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ldpc码的编解码实现，借鉴了主成分分析算法（PCA），利用matlab写成的窄带噪声发生。- Codec ldpc code implementation It draws on principal component analysis algorithm (PCA), Using matlab written narrowband noise occurs.
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