koch2

implementation of least mean square algorithm in matlab

This code is for QPSK BPSK QAM Implementations

ENN prediction model

信号功率谱分析，方法三、四，已在此详细编写(Signal power spectral analysis, methods, three, four, has been prepared in detail here)

this was my homework in the lesson "digital image processing" it is my own average and median filters function without useing the matlab s original functions . it can help your learning about filters. i uploaded whole the material but you can find it completely in "ö dev2.docx" my whole homework.

完整的mat格式的USPS手写字府库，里面包括7291个训练样本和2007个测试样本(USPS handwritten database of mat format,include 7291 cases for training and 2007 cases for testing.)

matlab中的设计GUI初级入门电子书(primary entry book design GUI in matlab)

利用Matlab软件编写的轨道不平顺数据分析程序能够对轨检车测得的不平顺数据进行处理,得到功率谱密度分布函数.轨道不平顺分析程序包括轨道不平顺数据预处理、轨道不平顺谱分布函数计算以及根据实测的车体振动加速度,对轨道不平顺与车体振动加速度进行相干分析、提出对行车运行有不利影响的不平顺波长范围等.研究结果表明:车辆的动力特性与轨道不平顺有密切关系.高低不平顺对车体垂向振动影响显著,轨向不平顺对车体水平振动影响显著,水平不平顺对列车垂向、横向振动均有显著影响.(Matlab software written track irregularity data analysis program able to track inspection car irregularity measured data are processed to obtain the power spectral density function. Track Irregularities track irregularity analysis procedures including data preprocessing, track irregularity spectrum distribution function calculations, and based on the measured vibration acceleration of the vehicle, with the body of track irregularity acceleration coherent analysis, have an adverse impact on traffic running irregularity wavelength range, etc. the results show that: the dynamic characteristics of the vehicle and the track irregularity closely related. rough along the vertical vibration of the vehicle significantly, rail irregularity vibration to levels significantly affect the body, the level of irregularity to train the vertical and horizontal vibration significantly affected.)

说明：  几个凸优化函数，用于解决非约束和带约束条件的凸优化问题(Several convex optimization function, for solving non-binding and the constrained convex optimization problem)

基于贝叶斯工具箱BNT的隐马尔科夫简单模型，比较适合新手的学习(More suitable for novice learning a simple model based on the the Bayesian toolbox BNT hidden Markov)