biase2buma

TD-LTE 物理层解传输分集预编码matlaB仿真程序(TD-LTE physical layer solution of transmission diversity precoding matlaB simulation program)

IS95前向链路系统的性能仿真,通过MATLAB进行建模，得出仿真结果(The simulation of IS95 forward link system performance )

matlab在数学建模中的一些有用例子,希望对大家有所帮助.(matlab in the mathematical modeling of some useful examples, and they hope to be helpful to everyone.)

采用matlab语言描述的双线性插值算法。(Based on matlab language describe bilinear interpolation algorithm.)

主要利用稳健方法比如迭代算法来对跳频信号在Alpha稳定分布噪声环境下进行参数估计(Main advantage of robust methods such as iterative algorithm for frequency-hopping signals Alpha stable distribution parameter estimation in noisy environments)

此为模式识别中的Fisher线性判别方法求分类器。进行了男、女错误率和总错误率的统计。 全部程序流程如下： 1、读取FAMALE.TXT文件把身高或体重给数组，并求x1的样本均值m1和内离散度S1； 2、读取MALE.TXT文件把身高或体重给数组，并求x2的样本均值m2和内离散度S2； 3、求最佳变换向量和阀值点； 4、读取Test2.txt文件把对应的身高或体重给数组A并求A的样本数M； 5、把最佳变换向量和阀值点、x代入判别方程g（x）； 6、对本判别的错误率进行统计。(This is the pattern recognition method, to calculate the Fisher linear discriminant classifier .Were male , female and total error rate error rate statistics . All program flow is as follows : 1 , read FAMALE.TXT file to height or weight to the array, and find the sample mean m1 x1 and internal dispersion S1 2 , read MALE.TXT file to height or weight to the array, and find the sample mean m2 and x2 within the dispersion S2 3 , for the best transformation vector and the threshold point 4 , read Test2.txt file to the corresponding height or weight requirements for the array A and A is the number of samples M 5 , the best transformation vector and the threshold point , x substituted into the discriminant equation g (x) 6 , determine the error rate of the statistics . )

车牌定位MATLAB实现，简单实用，首先通过图像预处理，然后通过颜色和投影来定位(License plate location MATLAB to achieve simple, practical, first by image preprocessing, then the color and the projection to locate)

this is file for traffic networks benchmarks...

基于PIDNN的无人机飞行控制系统仿真。(Simulation of UAV flight control system PIDNN.)

说明：  时频分析方法是非平稳信号处理的一个重要分支，它是利用时间和频率的联合函数来表示非平稳信号，并对其进行分析和处理，利用时频分析法对语音信号进行去噪。(Non-stationary time-frequency analysis is an important branch of signal processing, it is the joint use of time and frequency functions to represent the non-stationary signal and its analysis and processing, using time-frequency analysis of the speech signal denoising. )