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rev5
- 基于蒙特卡洛方法的主动声纳信号检测性能分析.主动声纳信号检测性能的分析上,目前在计算机仿真中一般假定混响包络的统计特性符合瑞利分布模型。基于此模型,已经有了较完善的理论。然而,在现代高分辨声纳系统中,混响包络的统计特性并不符合瑞利分布模型。此时在接收机工作特性分析时存在大量繁琐的公式推导。因此该文采用蒙特卡洛(M onte Carlo)统计试验方法,实现对瑞利分布混响背景下的主动声纳信号检测性能分析。结合对接收机工作特性曲线的仿真,得出了检测概率的理论值和仿真结果的误差曲线。误差曲线表明,蒙特卡
_time_frequency_toolbox
- 时频分析,用于时频分析,压缩文件,概率密度曲线 ,计算样本向量x的概率密度估计,返回在xi点的概率密度f,此时我们使用plot(xi,f)就可以绘制出概率密度曲线。-Time-frequency analysis, time-frequency analysis is used to compressed files
optimal-binary-tree
- 这个程序通过dp来构建最优的二叉树,使得效率更好,将高概率的结点放在高处。通过o(n^2)实现。-To build this program by dp optimal binary tree, making better efficiency, the high probability of the node on the height. O (n ^ 2).
The-lottery-numbers-based-on-VB
- 基于VB的彩票号码过滤系统的设计与实现。基于VB设计一个简单实用的彩票代码过滤系统,对彩票选号复式投注组合时能有效过滤掉“小概率事件”组合。本文介绍了整个软件系统的工作原理,同时给出了核心模块的程序代码。-Design and Implementation of the lottery numbers filtration system based on VB. Based on VB to design a simple and practical Lottery code filtratio
application-of-Bootstrap
- bootstrap仿真的应用与实现,可以对采样数据进行概率统计。-The bootstrap simulation applications and achieve statistical probability sampling data.
MAP
- 介绍最大后验概率估计的文章,讲解最大后验概率估计MAP的原理-Introduce the maximum a posteriori probability estimates article to explain the maximum a posteriori estimate of MAP principle
2012.10.16
- 微博的工作日志写的关于《基于MB-LDA》模型的微博主题挖掘,了解了LDA是一种文本生产模型,采用概率产生式对文本进行建模,而微博生成模型MB-LDA是对于LDA的基础上增加了对微博的联系人关系和文本关联进行统一建模形成适合微博主题挖掘的模型-Microblogging log write on microblogging theme mining model based on the MB-LDA " to understand the LDA is a text production
gailvlun
- matlab概率论及数理统计的学习资料,对于学习数字图像处理非常有帮助。-matlab learning materials, probability theory and mathematical statistics is very helpful for learning digital image processing.
gailv
- 概率动态认知图,神经网络,人工智能图像处理-Probability of dynamic cognitive maps, neural networks, artificial intelligence, image processing
book
- 序贯概率比应用 是时下很流行的算法 有很重要的研究意义-Sequential probability ratio applications
CRF
- CRF具有整合多个特征的强大拟合能力,同时可以算出其最大条件概率
receiver-experiment
- 针对一个二元通信系统中的两个观测模型设计奈曼-皮尔逊接收机,在已知错误判决概率的约束条件下,确定检测概率。-Design Neiman- Pierson receiver, under the constraint condition of the wrong decision probability is known, to determine the detection probability for a binary communication system in two observat
receiver--procedure
- 针对一个二元通信系统中的两个观测模型设计奈曼-皮尔逊接收机,在已知错误判决概率的约束条件下,确定检测概率。用matlab程序实现。-Design Neiman- Pierson receiver, under the constraint condition of the wrong decision probability is known, to determine the detection probability for a binary communication system in
Rand
- 生成在区间0到一的服从均匀分布的随机数,可用来进行概率计算等-Generated in the interval 0-1 uniformly distributed random numbers can be used to calculate the probability
The-circle-of-the-string_c
- 圆上弦问题,求解园上的弦中弦长大于等于半径的概率问题。-Round first quarter problem, solving garden on the string string is equal to the probability of grew up in the radius of problem.
m14-bayesianI
- 此文档研究人工智能中的不确定性问题,以及概率问题,并且提到Bayes法则。-This document research of uncertainty in artificial intelligence, and the problem of probability, and mentioned that Bayes rule.
suanshubianma
- 算术编码是图像压缩的主要算法之一。 在给定符号集和符号概率的情况下,算术编码可以给出接近最优的编码结果。使用算术编码的压缩算法通常先要对输入符号的概率进行估计,然后再编码。这个估计越准,编码结果就越接近最优的结果 -Arithmetic coding is one of the main algorithm of image compression. In the case of the given sets of symbols and the symbol probability, th
imfbm1
- a、b、c霍夫曼编码,它们的概率是0.6、0.3、0.1。并以此对符号串ababaacbaa编码和译码。-a, b, c, Huffman encoding their probability is 0.6,0.3,0.1. And use of the symbol string ababaacbaa encoding and decoding.
Image-reconstruction_CS
- 合稀疏贝叶斯学习(SBL)和可压缩传感理论(CS),给出一种在噪声测量条件下重建可压缩图像的方法。该方法将cS理论中图像重建过程看作一个线性回归问题,而待重建的图像是该回归模型巾的未知权值参数;利用sBL方法对权值赋予确定的先验条件概率分布用以限制模型的复杂度,并引入超参数- Hop sparse Bayesian learning ( SBL ) and compressible sensing theory ( CS ) , give a compressible image recon
chengxv
- M序列产生函数 0、1概率圆图产生函数 M序列自相关函数-M-sequence generator function 0,1 probability circle diagram produces the autocorrelation function of the sequence of function M