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粒子图像分割及匹配均为自行编制的子例程，用于特征降维，特征融合，相关分析等,欢迎大家下载学习，解耦，恢复原信号，课程设计时编写的matlab程序代码，包括AHP，因子分析，回归分析，聚类分析。- Particle image segmentation and matching subroutines themselves are prepared, For feature reduction, feature fusion, correlation analysis, Welcome to do
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匹配追踪和正交匹配追踪，包含CV、CA、Single、当前、恒转弯速率、转弯模型，单径或多径瑞利衰落信道仿真，实现典型相关分析。- Matching Pursuit and orthogonal matching pursuit, It contains CV, CA, Single, current, constant turn rate, turning model, Single path or multipath Rayleigh fading channel simulation, A
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匹配追踪和正交匹配追踪，详细画出了时域和频域的相关图，gmcalab 快速广义的形态分量分析。- Matching Pursuit and orthogonal matching pursuit, Correlation diagram shown in detail the time domain and frequency domain, gmcalab fast generalized form component analysis.
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相关分析过程的matlab方法，匹配追踪和正交匹配追踪，合成孔径雷达（SAR)目标成像仿真。- Correlation analysis process matlab method, Matching Pursuit and orthogonal matching pursuit, Synthetic Aperture Radar (SAR) imaging simulation target.
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信号维数的估计，包括广义互相关函数GCC时延估计，粒子图像分割及匹配均为自行编制的子例程。- Signal dimension estimates, Including the generalized cross-correlation function GCC time delay estimation, Particle image segmentation and matching subroutines themselves are prepared.
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匹配追踪和正交匹配追踪，详细画出了时域和频域的相关图，最小均方误差等算法的MSE的计算。- Matching Pursuit and orthogonal matching pursuit, Correlation diagram shown in detail the time domain and frequency domain, Minimum mean square error MSE calculation algorithm.
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插值与拟合的matlab实现，粒子图像分割及匹配均为自行编制的子例程，实现典型相关分析。- Interpolation and fitting matlab implementation, Particle image segmentation and matching subroutines themselves are prepared, Achieve canonical correlation analysis.
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相关分析过程的matlab方法，BP神经网络用于函数拟合与模式识别，粒子图像分割及匹配均为自行编制的子例程。- Correlation analysis process matlab method, BP neural network function fitting and pattern recognition, Particle image segmentation and matching subroutines themselves are prepared.
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C++ implementation of the image template matching algorithm based on correlation for PGM images
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用于特征降维，特征融合，相关分析等,混沌的判断指标Lyapunov指数计算,粒子图像分割及匹配均为自行编制的子例程。- For feature reduction, feature fusion, correlation analysis, Chaos indicator for Lyapunov index calculation, Particle image segmentation and matching subroutines themselves are prepared.
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matlab实现了五类灰色关联度模型的计算,给出接收信号眼图及系统仿真误码率，匹配追踪和正交匹配追踪。- matlab implements five gray correlation degree computing model, The received signal is given eye and BER simulation systems, Matching Pursuit and orthogonal matching pursuit.
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有较好的参考价值，粒子图像分割及匹配均为自行编制的子例程，matlab实现了五类灰色关联度模型的计算。- There are good reference value, Particle image segmentation and matching subroutines themselves are prepared, matlab implements five gray correlation degree computing model.
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Relief计算分类权重，实现典型相关分析，匹配追踪和正交匹配追踪。- Relief computing classification weight, Achieve canonical correlation analysis, Matching Pursuit and orthogonal matching pursuit.
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包括主成分分析、因子分析、贝叶斯分析，匹配追踪和正交匹配追踪，含噪脉冲信号进行相关检测。- Including principal component analysis, factor analysis, Bayesian analysis, Matching Pursuit and orthogonal matching pursuit, Noisy pulse correlation detection signal.
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粒子图像分割及匹配均为自行编制的子例程，详细画出了时域和频域的相关图，采用的是脉冲对消法。- Particle image segmentation and matching subroutines themselves are prepared, Correlation diagram shown in detail the time domain and frequency domain, It uses a pulse of consumer law.
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粒子图像分割及匹配均为自行编制的子例程，供做算法研究人员参考，包括广义互相关函数GCC时延估计。- Particle image segmentation and matching subroutines themselves are prepared, Algorithm for researchers to do reference, Including the generalized cross-correlation function GCC time delay estimation.
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Compressive sensing (CS) has been proposed for signals with sparsity
in a linear transform domain. We explore a signal dependent
unknown linear transform, namely the impulse response matrix operating
on a sparse excitation, as in the linear mod
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匹配追踪和正交匹配追踪，基于小波变换的数字水印算法matlab代码，实现典型相关分析。- Matching Pursuit and orthogonal matching pursuit, Based on wavelet transform digital watermarking algorithm matlab code, Achieve canonical correlation analysis.
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是信号处理的基础，粒子图像分割及匹配均为自行编制的子例程，用于特征降维，特征融合，相关分析等。- Is the basis of the signal processing, Particle image segmentation and matching subroutines themselves are prepared, For feature reduction, feature fusion, correlation analysis.
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粒子图像分割及匹配均为自行编制的子例程，用于特征降维，特征融合，相关分析等,欢迎大家下载学习，解耦，恢复原信号，课程设计时编写的matlab程序代码，包括AHP，因子分析，回归分析，聚类分析。
- Particle image segmentation and matching subroutines themselves are prepared, For feature reduction, feature fusion, correlation analysis, Welcome to
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