matlab

二级倒立摆的仿真 用simulink对二级倒立摆的模糊控制仿真(Simulation of double inverted pendulum with a double inverted pendulum on simulink fuzzy control simulation)

matlab上实现的模糊聚类算法，相当有用，是一个聚类工具箱。(matlab on the fuzzy clustering algorithm to achieve very useful, is a cluster toolkit.)

Decision Trees and Predictive Models with cross-validation and ROC (Receiver Operating Characteristic) analysis plot

说明：  DS-UWB的仿真框图，误码率仿真，脉冲发生器，ook和bpsk调制，以及rake接收等(the simulation graph of DS-UWB,it includes the BER and pulse generation,ook and bpsk modulation and rake receiver.)

该程序用matlab写成，已包含vof（根据Hirt的方法）内容，但该部分尚不成熟。对于不包含自由面的计算比较成功。(The program written with matlab, included vof (according to Hirt' s method) content, but that part is not yet mature. For the calculation of the free surface does not contain more successful.)

find roots by search gold metod

对函数插值的理解与运用，重在掌握插值语句的使用与认识(On the understanding and use of the interpolation function, focusing grasp and understanding of the use of interpolation statement)

根据自己的需求随意作出二维曲线图，只需要用鼠标在坐标系中点击即可。(Free to make a two-dimensional graph according to their own needs, just use the mouse to click in the coordinate system can be.)

线性预测分析是最有效的语音分析技术之一，在语音编码、语音合成、语音识别和说话 人识别等语音处理领域中得到了广泛的应用。语音线性预测的基本思想是：一个语音信号的 抽样值可以用过去若干个取样值的线性组合来逼近。通过使实际语音抽样值与线性预测抽样 值的均方误差达到最小，可以确定唯一的一组线性预测系数。(Linear predictive analysis is one of the most effective voice analysis technology has been widely applied in the field of speech processing speech coding, speech synthesis, speech recognition and speaker recognition and the like. The basic idea of ​ ​ linear prediction of speech is: a voice signal sample values ​ ​ can be approximated by a linear combination of a plurality of sample values ​ ​ of the past. By making the actual speech sample mean square error of the value of the smallest linear prediction sample values, to determine a unique set of linear prediction coefficients.)

The evolution the speed of wind according to time is modelized by a function analytical or generated by a statistical law starting the data of measurement for a given site. In a context of theoretical modeling, the profile of wind must satisfy two criteria: 1) The duration of the profile must be limited to reduce the time of simulation 2) The profile of the wind must be representative of the characteristics of the deposit (intensity, variability, statistical distribution…). In this study, we represented the evolution the speed of the wind, by a scalar function which evolves/moves in time, modelized in deterministic form by a sum of several harmonics. Profile of the wind simulated with a mean velocity of 8.2m/s.