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The BNL toolbox is a set of Matlab functions for defining and estimating the parameters of a Bayesian network for discrete variables in which the conditional probability tables are specified by logistic regression models. Logistic regression can be used to incorporate restrictions on the conditional probabilities and to account for the effect of covariates. Nominal variables are modeled with multinomial logistic regression, whereas the category probabilities of ordered variables are modeled through a cumulative or adjacent-categories response function. Variables can be observed, partially observed, or hidden.

hi i hav uploaded 5 matlab codes.So please activate my account

说明：  用Matlab绘制TEQC结果图形的程序(The results using Matlab graphics rendering procedures TEQC)

用matlab实现数字水印，课程的一个实验报告，很详细。(Digital watermarking using matlab)

这是一个LTE系统级仿真程序，模拟多小区用户之间的通信过程，并考虑到了各种可能的干扰和噪声，是一个很成熟的系统级仿真程序。(This is a LTE system level simulation procedures, simulation of multi-cell communication between the user process, and considering a variety of possible interference and noise, is a very mature system level simulation program)

离散迭代，对于离散系统，进行多次迭代，得到最终的准确结果(Discrete iteration)

说明：  数模2015A题程序设计，给定影子长度计算所在位置的经纬度。(MCM 2015A The program design of digital and analog question 2015A calculates the longitude and latitude of the position given the shadow length.)

Histogram matching is used for contrast stretching in the image.

matlab 感知机实验源码（神经网络课程实验一）(Perceptron test matlab source)

现代数值计算方法所附光盘源码第二部分（福建师范大学）马昌凤, 林伟川编著 科学出版社(Modern numerical methods accompanying CD-ROM source the second part (Fujian Normal University) MA Chang-Feng, LIN Wei-chuan edited by Science Press)