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entropy
- shannon Tsallis escort Tsallis renyi entropy and their relative entropy
entropy
- The functions include extensive Shannon and nonextensive Tsallis,escort Tsallis,and renyi entropy. the funcition names start with K_q_ indicate relative entropys Usage for all the seven functions:
概率熵程序
- shannon and non-extensive entropy程序
MaximumShannoninformationentropysegement
- Maximum Shannon information entropy的图像分割，是结合概率统计的方法进行的分割，理论上可以得到图像分割的更多细节。打开即可使用-Maximum Shannon information entropy of the image segmentation, is a combination of the methods of probability and statistics division, in theory, image segmentation can
Toolboxv1.0
- Joaquin Goñ i <jgoni@unav.es> & Iñ igo Martincorena <imartincore@alumni.unav.es> University of Navarra - Dpt. of Physics and Applied Mathematics & Centre for Applied Medical Research. Pamplona (Spain). December 13th, 2
entropy
- The Shannon entropy is a measure of the average information content one is missing when one does not know the value of the random variable. The concept was introduced by Claude E. Shannon in his 1948 paper "A Mathematical Theory of Communication".
filter1
- 高通滤波器，带通滤波器，数字FIR滤波器-The Shannon entropy is a measure of the average information content one is missing when one does not know the value of the random variable. The concept was introduced by Claude E. Shannon in his 1948 paper "A Mathematical Theory
MyEntropy
- 计算香浓信息熵，方便快捷的matlab代码，可以简单直接调用-Calculated Shannon information entropy, convenient matlab code can be simple and direct calls
athetic_computation
- 1928年, George D. Birkhoff提出了著名的美学度量公式measure = order/complexity.但是order和complexity具体如何计算并没有给出。本文在Shannon信息论的基础上，提出了基于Shannon entropy和kolmogorov complexity的美学度量。作者认为他们“on a promising track with a sound theoretical basis, which not only extends but wil
mipbrink_thresh
- This function returns the optimal threshold value using the 2-D Shannon entropy method
powerentrop_chirpz
- chirpz变换下的不同信号的谱指数熵以及香农熵调制方式识别研究-chirpz transform the spectral index of the different signal entropy and Shannon entropy modulation recognition of
wavelet_time_entropy
- 结合小波变换和香农定理，介绍了小波时间熵算法，并引用于信号异常检测中-Wavelet transform and the Shannon theorem, introduced the wavelet time entropy algorithm, and applied Signal Anomaly Detection
yyshang
- 计算给定的传感器加速度信号的一阶香农熵，可改变信号分段数以改变熵值-calculate the signal s Shannon entropy
Gray-entropy-one-threshold-
- 灰度熵与传统shannon熵的区别在于，灰度熵考虑了图像中目标和背景类内灰度级的均匀性，有较好的分割效果。-The difference of Gray entropy and shannon entropy is that the gray entropy considers the target and the background class grayscale image uniformity, and has better segmentated results.
exponential-entropy
- 图像分割-最大指数熵阈值分割方法，性能优于最大Shannon熵-Image segmentation- maximum exponential entropy threshold segmentation method,better than Shannon entropy
spectrum-Shannon-entropy
- 信号的奇异谱香农熵和奇异谱指数熵 matlab 源程序-Signal singular spectrum Shannon entropy and singular entropy source spectral index
power-spectrum-Shannon-entropy
- 信号的功率谱香农熵和功率谱指数熵 matlab 源程序-Signal power spectrum Shannon entropy and entropy matlab source power spectral index
Shannon-entropy-calculation
- 本程序可以很快的计算香农熵，计算较快，只需添加原始信号- This procedure can quickly calculate the Shannon entropy, the calculation is fast, just add the original signal
entropy
- 计算香浓熵，用于信号处理，表征信号混乱度。试过了，可以正常使用(Shannon entropy is calculated for signal processing and signal confusion is calculated. Tried, can be used normally)
entropy
- 求解信号的香农熵和指数熵，分别从功率谱和奇异谱的角度求解(The Shannon entropy and exponential entropy of signals are obtained.)