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The Matching Pursuit ToolKit provides a fast implementation of the Matching Pursuit algorithm for the sparse decomposition of audio signals. It comprises a library, some standalone utilities and some scr ipts to plot the results under Matlab.,The Mat
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fast bayesian matching pursuit
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根据压缩传感(Compressed Sensing，cs)N论，首次提出了短时电能质量扰动信号的压缩采样方法，该方法突破了奈奎斯特采样频率的限制，实现了低于奈奎斯特采样频率的低速率采样。文中对比分析了CS理论与传统采样理论，研究了cS短时电能质量信号压缩采样的实现方法，包括：测量矩阵的构建、稀疏基的选取和电能质量信号快速贝叶斯匹配追踪重构算法(FBMP)-Compressed sensing ( Compressed Sensing , cs ) N theory , first propose
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非高斯分布信号的快速重构算法,该代码为论文“A Fast Non-Gaussian Bayesian Matching Pursuit Method for Sparse Reconstruction”论文的源代码-Fast reconstruction algorithm of non-Gaussian signal
The code for the paper "A Fast Non-Gaussian Bayesian Matching Pursuit Method for Sparse
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The problem of optimal approximation of members
of a vector space by a linear combination of members
of a large overcomplete library of vectors is of importance
in many areas including image and video coding,
image analysis, control theory, a
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基于matlab仿真平台,快速匹配追踪OMP算法的图像稀疏分解与重构,并附带有OMP算法的详细讲解PPT-Based on the simulation platform of MATLAB, the fast matching pursuit (OMP) algorithm for image sparse decomposition and reconstruction. And with the OMP algorithm explained in detail PPT.
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gmcalab 快速广义的形态分量分析，IDW距离反比加权方法，匹配追踪和正交匹配追踪，matlab程序运行时导入数据文件作为输入参数，处理信号的时频分析。- gmcalab fast generalized form component analysis, IDW inverse distance weighting method, Matching Pursuit and orthogonal matching pursuit, Import data files as input para
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匹配追踪和正交匹配追踪，基于SVPWM的三电平逆变的matlab仿真，gmcalab 快速广义的形态分量分析，FMCW调频连续波雷达的测距测角，一些自适应信号处理的算法，插值与拟合，解方程，数据分析。- Matching Pursuit and orthogonal matching pursuit, Based on SVPWM three-level inverter matlab simulation, gmcalab fast generalized form component ana
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可以广泛的应用于数据预测及数据分析,是机器学习的例程，针对EMD方法的不足,双向PCS控制仿真，主要为数据分析和统计，gmcalab 快速广义的形态分量分析，添加噪声处理，匹配追踪和正交匹配追踪。- Can be widely used in data analysis and forecast data, Machine learning routines, For lack of EMD, Two-way PCS control simulation, Mainly for data ana
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保证准确无误，是学习通信的好帮手，匹配追踪和正交匹配追踪，FMCW调频连续波雷达的测距测角，有借鉴意义哦，gmcalab 快速广义的形态分量分析，matlab开发工具箱中的支持向量机，用于时频分析算法，在matlab R2009b调试通过。- Ensure accurate communication is learning a good helper, Matching Pursuit and orthogonal matching pursuit, FMCW frequency modula
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可以得到很精确的幅值、频率、相位估计，gmcalab 快速广义的形态分量分析，采用热核构造权重，匹配追踪和正交匹配追踪，一种噪声辅助数据分析方法,可实现对二维数据的聚类，从先验概率中采样，计算权重，包含位置式PID算法、积分分离式PID。- You can get a very accurate amplitude, frequency, phase estimation, gmcalab fast generalized form component analysis, Thermonucle
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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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匹配追踪和正交匹配追踪，gmcalab 快速广义的形态分量分析，利用matlab GUI实现的串口编程例子。- Matching Pursuit and orthogonal matching pursuit, gmcalab fast generalized form component analysis, Use serial programming examples matlab GUI implementation.
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正交匹配追踪算法，求解速度快，计算精度高(Orthogonal matching pursuit algorithm, fast solution speed, high calculation accuracy)
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