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Description: ％ 信道容量C的迭代算法 ％
％ 函数说明： ％
％ [CC,Paa]=ChannelCap(P,k) 为信道容量函数 ％
％ 变量说明： ％
％ P：输入的正向转移概率矩阵，k：迭代计算精度 ％
％ CC：最佳信道容量，Paa：最佳输入概率矩阵 ％
％ Pa：初始输入概率矩阵，Pba：正向转移概率矩阵 ％
％ Pb：输出概率矩阵 ％
％ C：初始信道容量， r：输入符号数，s：输出符号数 ％
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Size: 1098 |
Author: 风 |
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Description: ％ 信道容量C的迭代算法 ％
％ 函数说明： ％
％ [CC,Paa]=ChannelCap(P,k) 为信道容量函数 ％
％ 变量说明： ％
％ P：输入的正向转移概率矩阵，k：迭代计算精度 ％
％ CC：最佳信道容量，Paa：最佳输入概率矩阵 ％
％ Pa：初始输入概率矩阵，Pba：正向转移概率矩阵 ％
％ Pb：输出概率矩阵 ％
％ C：初始信道容量， r：输入符号数，s：输出符号数 ％- Channel capacity C of the iterative algorithm Function Description: [CC, Paa] = ChannelCap (P, k) for the channel capacity function Variable Description: P: input positive transition probability matrix, k: iterative calculation accuracy CC: the best channel capacity, Paa: optimal input probability matrix Pa: initial input probability matrix, Pba: positive transition probability matrix Pb: output probability matrix C: initial channel capacity, r: the number of input symbols, s: output symbol number
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Size: 1024 |
Author: |
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Description: 这是个时间序列分段处理的程序，包含了Eamon Keogh的PAA算法实现，可以直接在eclipse中使用-This is a time series of sub-handling procedures, included Eamon Keogh of PAA algorithm can be used directly in eclipse
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Size: 6144 |
Author: shaoqing |
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Description: 基于PAA的分段线性表示算法:用等宽度窗口分割时间序列，每个窗口内的时间序列用窗口平均值来表示，就得到了时间序列的一种分段线性表示，它的输入参数为分段数，记为K.-PAA-based algorithm for piecewise linear representation: split time series with windows of same width , use the mean of time series in the window to express, it has been a sub-linear time series that it s input parameters as the number of sections, denoted by K.
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Size: 40960 |
Author: zhaozhikai |
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Description: iih for paa ltert recognition
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Size: 63488 |
Author: ADitya |
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Description: Some exercises to learn c and c++ from the begin
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Size: 6144 |
Author: Allysson |
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Description: Some exercises so you can learn c and c++ from here
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Size: 3072 |
Author: Allysson |
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Description: Implementing the APCA algorrithm and the P-Implementing the APCA algorrithm and the PAA
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Size: 755712 |
Author: gaszasboom |
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Description: 信道容量C的迭代算法
函数说明：
[CC,Paa]=ChannelCap(P,k) 为信道容量函数
变量说明：
P：输入的正向转移概率矩阵，k：迭代计算精度
CC：最佳信道容量，Paa：最佳输入概率矩阵
Pa：初始输入概率矩阵，Pba：正向转移概率矩阵
Pb：输出概率矩阵，Pab：反向转移概率矩阵
C：初始信道容量， r：输入符号数，s：输出符号数
-Channel capacity C of the iterative algorithm Function Description: [CC, Paa] = ChannelCap (P, k) for the channel capacity function variable declaration: P: Enter a positive transition probability matrix, k: Diego generation of precision CC: Best channel capacity, Paa: optimal input probability matrix Pa: initial input probability matrix, Pba: positive transition probability matrix Pb: output probability matrix, Pab: reverse transition probability Matrix C: the initial channel capacity, r: the number of input symbols, s: output symbol number
Platform: |
Size: 6144 |
Author: lijing |
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Description: 信道容量C的迭代算法
函数说明：
[CC,Paa]=ChannelCap(P,k) 为信道容量函数
变量说明：
P：输入的正向转移概率矩阵，k：迭代计算精度
CC：最佳信道容量，Paa：最佳输入概率矩阵
Pa：初始输入概率矩阵，Pba：正向转移概率矩阵
Pb：输出概率矩阵，Pab：反向转移概率矩阵
C：初始信道容量， r：输入符号数，s：输出符号数
-Channel capacity C of the iterative algorithm Function Description: [CC, Paa] = ChannelCap (P, k) for the channel capacity function variable declaration: P: Enter a positive transition probability matrix, k: Diego generation of precision CC: Best channel capacity, Paa: optimal input probability matrix Pa: initial input probability matrix, Pba: positive transition probability matrix Pb: output probability matrix, Pab: reverse transition probability Matrix C: the initial channel capacity, r: the number of input symbols, s: output symbol number
Platform: |
Size: 3072 |
Author: lijing |
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Description: 信道容量C的迭代算法
函数说明：
[CC,Paa]=ChannelCap(P,k) 为信道容量函数
变量说明：
P：输入的正向转移概率矩阵，k：迭代计算精度
CC：最佳信道容量，Paa：最佳输入概率矩阵
Pa：初始输入概率矩阵，Pba：正向转移概率矩阵
Pb：输出概率矩阵，Pab：反向转移概率矩阵
C：初始信道容量， r：输入符号数，s：输出符号数
-Channel capacity C of the iterative algorithm function Description: [CC Paa] = ChannelCap (P, k) for the channel capacity functions variable Description: P: input forward transfer probability matrix k: iterative calculation precision CC: best channel capacity, Paa: optimal input probability matrix Pa: initial input probability matrix, Pba: positive transition probability matrix Pb: output probability matrix, Pab: reverse transition probability matrix C: the capacity of the initial channel, r: the number of input symbols, s: the number of output symbols
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Size: 1024 |
Author: 龙哥 |
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Description: Keogh的SAX聚集近似算法，首先采用PAA分段，然后正态化序列，在对应表上查询符号表示，这是一个很经典的时间序列表示方法-Keogh' s SAX gathered approximation algorithm, the first use PAA segment, then normal sequence, query on the corresponding symbol table indicates, this is a classic representation of the time series
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Size: 24576 |
Author: Kit |
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Description: 概率原型分析软件，语言matlab，属于数据分析软件，非监督学习方法，类似于PCA,NMF等-Archetypal analysis represents a set of observations as convex combinations of pure patterns, or archetypes.
The original geometric formulation of finding archetypes by approximating the convex hull of the observations assumes them to be real valued. This, unfortunately, is not compatible with many practical situations.
In this paper we revisit archetypal analysis the basic principles, and propose a probabilistic framework that accommodates other observation types such as integers, binary, and probability vectors. We
corroborate the proposed methodology with convincing real-world applications on finding archetypal winter tourists based on binary survey data, archetypal disaster-affected countries based on disaster count data,
and document archetypes based on term-frequency data. We also present an appropriate visualization tool
to summarize archetypal analysis solution better.
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Size: 14497792 |
Author: tower |
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Description: 基于真延时的相控阵波束成形matlab代码，改变相控阵参数观察扫描波形-Forming matlab code is based on the true delay phased array beam change phased array scanning waveform parameters observed
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Size: 1024 |
Author: cby |
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Description: 这是一个SAX符号化的程序，并有详细的注释，以及最短距离程序，和SAX跟PAA的比较。(This is a SAX symbolic program, with detailed notes, as well as the shortest distance program, and SAX and PAA comparison.)
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Size: 23552 |
Author: 十年12345
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Description: 用于研究时间序列的异常检测。主要是将一段原始数据进行离散化(PAA)。再用符号聚合近似的方法变成一串序列。(It is used to study the anomaly detection of time series.)
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Size: 27648 |
Author: 修川
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Description: 这个包里包含了四种常用的时间序列相似性评估算法，包括DTW，LCSS, PLA和PAA，方便学者在进行开展实验时进行对比分析，也可以运用在多种需要评估距离的场景中。(This package includes four common time series similarity measures, including DTW, LCSS,PLA and PAA. This package can be used when the researcher carries out experiments on time series measures, and they can also be applied in different situation that needs the distance measure.)
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Size: 1024 |
Author: heavenyyq |
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Description: 使用matlab实现PAA算法的代码，输入时间序列列表、窗口大小以及步长后即可进行序列表示。(Matlab implementation of PAA algorithm)
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Size: 1909760 |
Author: adsgfdg |
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