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详细画出了时域和频域的相关图,非归零型差分相位调制信号建模与仿真分析 ,结合PCA的尺度不变特征变换(SIFT)算法。- Correlation diagram shown in detail the time domain and frequency domain, NRZ type differential phase modulation signal modeling and simulation analysis, Combined with PCA scale invariant f
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是学习PCA特征提取的很好的学习资料,主同步信号PSS在时域上的相关仿真,多元数据分析的主分量分析投影。- Is a good learning materials to learn PCA feature extraction, PSS primary synchronization signal in the time domain simulation related, Principal component analysis of multivariate data analysis p
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车牌识别定位程序的部分功能,用于建立主成分分析模型,主同步信号PSS在时域上的相关仿真。- Part of the license plate recognition locator feature, Principal component analysis model for establishing, PSS primary synchronization signal in the time domain simulation related.
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分析了该信号的时域、频域、倒谱,循环谱等,isodata 迭代自组织的数据分析,结合PCA的尺度不变特征变换(SIFT)算法。- Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Isodata iterative self-organizing data analysis, Combined with PCA scale invariant feature transfor
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Combined with PCA scale invariant feature transform (SIFT) algorithm, PSS primary synchronization signal in the time domain simulation related, Channel coding, modulation, channel estimation.
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PSS primary synchronization signal in the time domain simulation related, Fiber Transmission wireless communication system performance, Combined with PCA scale invariant feature transform (SIFT) algorithm.
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Correlation diagram shown in detail the time domain and frequency domain, Matlab wavelet analysis on complex, For feature extraction, signal de-noising.
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Is a good learning materials to learn PCA feature extraction, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Minimum mean square error (MMSE) algorithm.
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The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation For feature reduction, feature fusion, correlation analysis, Analysis of the signal time domain, frequency domain
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Correlation diagram shown in detail the time domain and frequency domain, Use Chaos and fractal analysis routines, Part of the license plate recognition locator feature.
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Combined with PCA scale invariant feature transform (SIFT) algorithm, Related impulse response analysis algorithm and inspection, PSS primary synchronization signal in the time domain simulation related.
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Correlation diagram shown in detail the time domain and frequency domain, Combined with PCA scale invariant feature transform (SIFT) algorithm, Calculated transmission characteristics and reflection characteristics of the one-dimensional photonic cry
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Principal component analysis of multivariate data analysis projection, PSS primary synchronization signal in the time domain simulation related, Is a good learning materials to learn PCA feature extraction.
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The commonly used digital signal modulation based on artificial neural network, Is a good learning materials to learn PCA feature extraction, PSS primary synchronization signal in the time domain simulation related.
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Complete HMM-based speech recognition system, For feature extraction, signal de-noising, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc.
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Is a good learning materials to learn PCA feature extraction, Six degrees of freedom to achieve inverse kinematics algorithm, Correlation diagram shown in detail the time domain and frequency domain.
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EMD的源程序和几个程序包,时域部分的特征提取,还有一个eemd的特征提取(The source program of EMD and several packages, the feature extraction of the time domain, and the feature extraction of a EEMD)
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时域指标特征提取:包含均值、方差、最大最小值,峭度指标等16个指标(Time domain index feature extraction: including the mean, variance, maximum and minimum values, kurtosis indicators and other 16 indicators)
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用于提取心电信号的特征,包含时域,频域,RR interval相关特征(used for ECG signal feature extraction, including time domain, frequency domain and RR interval related features)
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用于提取心电信号的特征, 用python编写(used for ECG signal feature extraction, including time domain, frequency domain and RR interval related featuresused for ECG signal feature extraction)
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