Description: Huffman编码1． 给出信源符号的一阶概率分布，并计算信源符号熵和单字符Huffman码表。2． 计算每信源的平均字长，并与信源符号熵比较。3． 比较压缩效果。-Huffman coding 1. Source symbols are given first-order probability distribution, and calculate the entropy source and single-character symbols Huffman code table. 2. Calculated the average per source word length, and entropy source comparison symbols. 3. Comparison of the effect of compression. Platform: |
Size: 44032 |
Author:潘 |
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Description: 一階Markov 實做 將文件讀進來並計算出 entroy -First-order Markov really do come in reading the document and calculate entroy Platform: |
Size: 1024 |
Author:chen |
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Description: 给出信源符号的一阶概率分布，并计算信源符号熵和单字符Huffman码表，从而将对应符号进行编码。-Source symbols are given first-order probability distribution and calculate the source entropy and single-character symbol Huffman code table, which will correspond to encoded symbols. Platform: |
Size: 40960 |
Author:杨雪皎 |
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Description: 信息源根据一个有限的或无限但可数的符号集生成一个任意符号序列也就是说，信源的输出是离散的随机变量。本实验要求编写计算图像的一阶二阶熵的程序-Information sources based on a limited or unlimited number of symbols but can be set to generate a sequence of arbitrary symbols that is to say, the output source is the discrete random variable. Prepared in this experiment, the calculation of second-order image of the first order entropy of the process Platform: |
Size: 100352 |
Author:jhm |
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Description: his algorithm was proposed by Quinlan (1993). The C4.5 algorithm generates a classification-decision tree for the given data-set by recursive partitioning of data. The decision is grown using Depth-first strategy. The algorithm considers all the possible tests that can split the data set and selects a test that gives the best information gain. For each discrete attribute, one test with outcomes as many as the number of distinct values of the attribute is considered. For each continuous attribute, binary tests involving every distinct values of the attribute are considered. In order to gather the entropy gain of all these binary tests efficiently, the training data set belonging to the node in consideration is sorted for the values of the continuous attribute and the entropy gains of the binary cut based on each distinct values are calculated in one scan of the sorted data. This process is repeated for each continuous attributes. Platform: |
Size: 2048 |
Author:rajesh |
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Description: 一阶熵、二阶熵和差分熵c++程序 求熵用的
-A first order, second order entropy and entropy difference entropy ofc++ program Platform: |
Size: 3072 |
Author:feng |
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Description: 该函数用来计算任意函数的一阶偏导数(数值方法),基于负熵最大的独立分量分析，利用matlab针对图像进行马氏距离计算 。- This function is used to calculate the arbitrary function of the first order partial derivative (numerical methods), Based on negative entropy largest independent component analysis, Using matlab to calculate the Mahalanobis distance for the image. Platform: |
Size: 5120 |
Author:任合民 |
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Description: 为了精准、稳定地提取滚动轴承故障特征，提出了基于变分模态分解和奇异值分解的特征提取方法，采用标准模糊C均值聚类(fuzzy C means clustering, FCM)进行故障识
别。对同一负荷下的已知故障信号进行变分模态分解，利用
奇异值分解技术进一步提取各模态特征，通过FCM形成标准聚类中心，采用海明贴近度对测试样本进行分类，并通过计算分类系数和“卜均模糊嫡对分类性能进行评价，将该方法
应用于滚动轴承变负荷故障诊断。通过与基于经验模态分解的特征提取方法对比，该方法对标准FCM初始化条件小敏感，在同负荷故障诊断中表现出更好的分类性能 变负荷故障诊断时，除外圈故障特征线发生明显迁移，其他测试样本故障特征线仍在原聚类中心附近，整体故障识别率保持在100 ，因此，该方法能精确、稳定提取故障特征，为实际滚动轴承智能故障诊断提供参考。- In order to extract fault features of rolling bearing precisely and steadily, a method which is based on variational mode decomposition(VMD) and singular value
decomposition was proposed for fault diagnosis using standard
fuzzy C means clustering(FCM). First of all, the known fault signals measured in the same load but with different faults were
decomposed by VMD, and the modes characteristics were
further extracted using singular value decomposition technique,forming the standard clustering centers by FCM, and then the
test samples were clustered by a Hamming nearness approach,
and the classification performance was uated by calculating classification coefficient and average fuzzy entropy. At last, the method was applied in rolling bearing fault diagnosis under
variable loads. By comparing with a method based on EMD,
this approach is not sensitive to the initialization of standard FCM, and exhibits better classification performance in the same load fault diagnosis Fo Platform: |
Size: 391168 |
Author:陈帅 |
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Description: 能量熵的计算，基于chebyshev的水声信号分析，该函数用来计算任意函数的一阶偏导数(数值方法)。- Energy entropy calculation, Based chebyshev underwater acoustic signal analysis, This function is used to calculate the arbitrary function of the first order partial derivative (numerical methods). Platform: |
Size: 6144 |
Author:武明平 |
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Description: 基于负熵最大的独立分量分析，图像的光流法计算的matlab程序,该函数用来计算任意函数的一阶偏导数(数值方法)。- Based on negative entropy largest independent component analysis, Image optical flow calculation matlab program, This function is used to calculate the arbitrary function of the first order partial derivative (numerical methods). Platform: |
Size: 6144 |
Author:juihangjaohie |
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Search - first order entropy