搜索资源列表
周期图法谱估计需要对信号序列“截断”或加窗处理
- 周期图法谱估计需要对信号序列“截断”或加窗处理，其结果是使估计功率谱密度为信号序列真实谱和窗谱的卷积，导致误差的产生。本程序分别设计了周期图法,最大熵功率谱估计和Welch法以及它们的对比,最大熵功率谱估计目的是最大限度地保留截断后丢失的“窗口”以外信号的信息，使估计谱的熵最大。-Periodogram spectrum estimation signal sequence needs to " cut off" or add the window handle, the
multil-information
- 计算两组信号互信息熵值的算法，采用matlab编程，可直接调用函数-Two sets of signals calculated values of mutual information method, using matlab programming, call the function directly
zuixiaoshang
- 针对多通道卷积混叠模型,基于信息理论的最小熵准则,利用单时间点观测样本给出了一类多通道盲反卷积 方法,这种方法不同于其它方法的地方在于考虑了源和观测信号的上下文信息.-A blind deconvolution algorithmfor a multi- channel convolution mixing model was derived. The algorithm is based on a minimum entropy contrast of information theo
xinxilun
- 计算任意多个信号源的信息熵，信道容量迭代算法，线性分组码-Calculation of any source of information entropy, channel capacity iterative algorithm for linear block codes
信息熵算法
- 基于Matlab平台开发的用于生理信号特征选择的程序算法，信息熵算法，主要用于特征选择，属于模式识别的一类。-The program used for physiological signal feature selection algorithm based on Matlab platform development, information entropy algorithm is mainly used for feature selection, belongs to a class
Markov.m
- 物理马尔可夫链通常用来建模排队理论和统计学中的建模，还可作为信号模型用于熵编码技术，如算术编码（著名的LZMA数据压缩算法就使用了马尔可夫链与类似于算术编码的区间编码）。马尔可夫链也有众多的生物学应用，特别是人口过程，可以帮助模拟生物人口过程的建模。隐蔽马尔可夫模型还被用于生物信息学，用以编码区域或基因预测-Physical Markov chains are typically used to model queuing theory and statistics in modeling, b
information_shang
- 此程序提供两种一维信号信息熵的计算方法，其中一种是近似信息熵计算，可以有效的识别信号的复杂度-This program provides two kinds of one-dimensional signal and the calculation method of information entropy is one kind of approximate entropy calculation, can effectively identify the complexity
xinxishang
- 计算信号的信息熵的一个式列 可以参考看看 希望有人能用的上(Calculate the information entropy of the signal can refer to see)
信号处理
- 对信号做频谱分析，做信息熵的处理，了解信号的频率范围以及信息量的多少。(The spectrum analysis of the signal, the processing of information entropy, the frequency range of the signal and the amount of information.)
Cross Approximate Entropy
- 用于计算互近似熵，互近似熵是两个信号之间不同步的量度。模糊熵与互信息(It is used to calculate the mutual approximate entropy, and the mutual approximate entropy is a measure of the non synchronization between the two signals)
小波信息熵
- 对信号进行小波变换，确定小波基的选择和分解层数，再求解信号的信息熵，可用于故障诊断。(The wavelet transform is performed on the signal to determine the selection and decomposition layers of the wavelet base, and then the information entropy of the signal is solved, which can be used for fault
TSMPE
- 时移多尺度排列熵一种应用于非线性非平稳信号的特征提取方法，能够有效的处理信号特征信息。(Time-lapse multiscale permutation entropy is a feature extraction method applied to non-linear non-stationary signals, which can effectively process signal feature information.)