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压缩传感置信传播算法的matlab仿真全部源程序。信号模式为二值高斯信号，编码测量采用类似LDPC矩阵。(Belief propagation algorithm for compressed sensing all the source code matlab simulation. Gaussian signal model for binary signals, LDPC coding was measured using a similar matrix.)

说明：  用于人机交互的视觉手势识别———硕士论文(For interactive visual gesture recognition- pp)

2d radom walk from one destination to an another. zipzap bubbelz rules random words to fill the gap

线性分类器-最小平方误差算法，对一组数据进行分类，分析b1、b2改变对结果的影响(Linear classifier- the least square error algorithm)

this file describes a brief overview of matlab programming

功率谱估计是利用有限长的数据估计信号的功率谱，广泛应用于各个领域。功率谱估计主要分为经典谱估计与现代谱估计。常用的经典谱估计方法有周期图法，相关法，周期图的改进法，常用的现代谱估计方法有最大熵谱估计，AR模型，MA模型，ARMA模型。经典谱估计适用于长序列的信号，其主要缺陷是描述功率谱波动的数字特征方差性能差，频率分辨率低，现代谱估计适用于短序列的信号，旨在改善谱估计的分辨率，并将其应用于实际地震资料的谱分析。 (Power spectrum estimation is the use of a finite length data to estimate the power spectrum of the signal, widely used in various fields. Power spectrum estimation is divided into classic and modern spectral estimation spectral estimation. Commonly used methods of classical periodogram spectrum estimation method, the relevant law, the cycle graph Improvement Act, commonly used in modern spectral estimation methods have maximum entropy spectral estimation, AR model, MA model, ARMA model. Classical spectral estimation applied to signal a long sequence, its main drawback is the fluctuation power spectrum describing digital signature variance performance is poor, the frequency resolution is low, modern spectral estimation applied to signal short sequences designed to improve spectral estimation resolution, and The analysis applied to real seismic data spectrum.)

earth cordinats Calc_Azimuth_Elevation

可以得到很精确的幅值、频率、相位估计，FMCW调频连续波雷达的测距测角，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法。( You can get a very accurate amplitude, frequency, phase estimation, FMCW frequency modulated continuous wave radar range and angular measurements, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm.)

使用DWT实现图像融合，以得到更适合计算机处理、人类识别的图像(DWT to achieve image fusion, is more suitable for computer processing, human identification image)

MSER 算法的matlab实现，保证可以运行(MSER algorithm matlab implementation, to ensure you can run)