搜索资源列表
mallatpu
- 用MALLAT算法对信号分解,并给出各分解信号的频谱-with MALLAT right signal decomposition algorithm, and gives the signal decomposition of the spectrum
packetdaima
- 小波包分解去噪c++源程序，包括信号的小波包分解，最优树选择，以及重构-Wavelet packet denoising c++ Source, including the signal wavelet packet decomposition, optimal tree selection, as well as the reconstruction of
13898350hht
- EMD分解源码，可用于信号的分解，去噪以及细节分析。是最新的2007的版本。
emd1
- 经验模式分解程序（matlab）可以对输入信号进行经验模式分解-Empirical mode decomposition process (matlab)
zzt002
- 国外学者编写的用小波变换进行信号分解和重构，进而对其去噪的c++源程序。-the c++ source for dsp using wavelet.
capon-beamforming
- capon波束形成是阵列信号处理的经典算法，该算法用于抑制干扰噪声，提高期望信号的信噪比。 本人用VC6.0实现了该算法，同时在该程序里提供了比较多的用于数值计算的C代码，如特征值分解等。-capon beamforming is a classic array signal processing algorithm used to suppress noise interference and improve signal to noise ratio of desired signal
sparsedecom
- 利用匹配追踪对雷达信号进行稀疏分解，得到其稀疏表示形式-The use of matching pursuit for sparse decomposition of the radar signals, by their sparse representation
waveletdecopose
- 小波分解和重构，用来分析信号的低高频变换，得到近似信号和细节信号。是比较好的数据处理方法-wavelet denoise
emd
- 经验模式分解(EMD)将信号分解成多个IMF分量，每个IMF分量代表一定频率尺度的模式完整源代码-Empirical Mode Decomposition (EMD) to decompose the signal into a number of IMF components, each component of IMF on behalf of a certain frequency-scale model of the full source code
信号稀疏分解及压缩感知理论应用研究
- 信号稀疏分解及压缩感知理论应用研究，论文(Research on sparse signal decomposition and compressed sensing theory)
emd加instfreq信号处理工具
- 经验模态分解，克服了小波分析的频率重叠效果不明显的问题。可以在欠定情况下进行信号分解。(Empirical mode decomposition, to overcome the wavelet analysis of the frequency overlap effect is not obvious problem. Signal decomposition can occur under undetermined conditions.)
EMD分解程序
- 通过EMD分解程序，将原信号自适应分解为各个频段信号(Through the EMD decomposing program, the original signal is decomposed into each frequency signal adaptively)
信号处理第三章
- 用AR 模型的自相关法估计信号的功率谱，用AR 模型的Burg 算法估计信号的功率谱，最大熵功率谱估计，用自相关矩阵分解的MUSIC 算法估计信号的功率谱(The power spectrum of the signal is estimated using the AR model autocorrelation method. The power spectrum of the signal is estimated using the Burg model of the AR model.
小波分析仿真程序
- 小波分析课程部分仿真程序，涉及加窗傅里叶变换、信号分解重构等，每步都有有详细注释(A part of the simulation program for the course of wavelet analysis.Relates to the windowed Fourier transform, signal decomposition and reconstruction, every step has a detailed notes .)
信号分解与采样
- 利用B样条、Wavelet小波函数对信号进行采样与重构，比较两种方法的优劣(We use B spline and Wavelet wavelet function to sample and reconstruct signals, and compare the advantages and disadvantages of the two methods.)
一维信号的匹配追踪重建
- 主要用于一维信号的稀疏分解，适用于Gabor等多参数字典求取最佳原子(It is mainly used for sparse decomposition of one-dimensional signals. It is suitable for Gabor and other multi parameter dictionary to obtain the best atom.)
direction finding algorithm
- 利用信号本身的结构特征，通过附加不同的稀疏约束，该模型利用过完备字典进行信号分解，使其表示成字典中若干原子的线性组合，从而获得数据的精简表示。(By using the structural characteristics of the signal itself and adding different sparse constraints, the model decomposes the signal into linear combinations of atoms in the dic
esmd4j-1.0-free (2)
- 用于极点对称模态分解求解，对输入信号进行模态分解并求出相应图形和数据(Used for pole-symmetric modal decomposition solution, modal decomposition of input signals and determination of corresponding graphics and data)
希尔伯特振动分解算法实例
- 针对信号处理方面，该例子实现了希尔伯特振动分解的，(For signal processing, this example implements the Hilbert vibration decomposition.)
鲁棒局部均值分解
- 把分解信号分解出的功能分量(product function，简称PF)(Functional component that decomposes the decomposition signal)