近似熵的一种快速实用算法 Pincus提出的近似熵算法中有很多冗余的计算,效率低,速度慢,不利于实际应用,洪波等人在定义的基础上引入二值距离矩阵的概率,提出了一种实用快速的算法. function ApEn=EntropyCompute(sig,m,r0) %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % 计算一维信号的近似熵,采用快速算法 % sig: 待求近似熵的源信号 % m: 一般取 2 % r0: 一般…

A Gentle Introduction to the Gradient Boosting Algorithm for Machine Learning by Jason Brownlee on September 9, 2016 in XGBoost 0 0 0 0   Gradient boosting is one of the most powerful techniques for building predictive models. In this post you will d…

Features Column-oriented time-series database. Log-structured append-only B+tree with multiversion concurrency control. Crash safety. Fast aggregation without pre-configured rollups or materialized views. Custom compression algorithm (dictionary + en…

Lempel-Ziv 复杂度程序 随着人们对非线性方法的分析越加深入,他们发现,虽然关联维度和最大李雅谱诺夫指数在分析脑电时具有一定的帮助,但是它们对数据的依赖性太强,对干扰和噪 声太敏感,而且要得到可靠的结果需要大量的数据,这对于高度不平稳的脑电波来说无疑是相当大的局限.科研人员迫切需要一种数据量少且具有一定抗干扰能力的 方法,这时LZ复杂度算法应运而生,它是一种表征时间序列里出现新模式的速率的方法.这个方法最先由Lempel和Ziv提出,因此取名为Lempel- Ziv复杂度.直到1987年…

From:  johndcook.com/blog For a set of positive probabilities pi summing to 1, their entropy is defined as (For this post, log will mean log base 2, not natural log.) This post looks at a couple questions about computing entropy. First, are there any…

题目连接 http://acm.hdu.edu.cn/showproblem.php?pid=1053 Entropy Description An entropy encoder is a data encoding method that achieves lossless data compression by encoding a message with “wasted” or “extra” information removed. In other words, entropy e…

Information Entropy Time Limit: 1 Sec Memory Limit: 256 MB 题目连接 http://acm.zju.edu.cn/onlinejudge/showProblem.do?problemCode=3827 Description Information Theory is one of the most popular courses in Marjar University. In this course, there is an impo…

Deeplearning原文作者Hinton代码注解 Matlab示例代码为两部分,分别对应不同的论文: . Reducing the Dimensionality of data with neural networks ministdeepauto.m backprop.m rbmhidlinear.m . A fast learing algorithm for deep belief net mnistclassify.m backpropclassfy.m 其余部分代码通用. %%%%…

题目链接:http://poj.org/problem?id=1521 Entropy Time Limit: 1000MS    Memory Limit: 10000K Description An entropy encoder is a data encoding method that achieves lossless data compression by encoding a message with "wasted" or "extra" info…

Information Entropy Time Limit: 2 Seconds      Memory Limit: 131072 KB      Special Judge Information Theory is one of the most popular courses in Marjar University. In this course, there is an important chapter about information entropy. Entropy is…