Analog-modulation

Section_4_BD_heterogeneous_MIMO. simulation algorithm in MIMO -OFDM

matlab应用实例仿真开发手册(failed to translate)

说明：  把激光陀螺捷联惯导系统和GNSS接收机固联于实验车实验仓中，接收机天线固联在实验车实验仓上方，车载计算机实时接收和采集惯导系统、卫星导航接收机的原始数据，在郊外开阔公路进行车载实验。 通过matlab编程实现卫星导航伪距单点定位、INS/GPS松组合导航的全过程。 1）卫星导航单点定位测速：利用采集得到的接收机时间、伪距、多普勒频移数据，要求进行单点定位、测速解算，输出接收机的位置、速度随时间的变化曲线，并给出位置、速度误差曲线； 2）松组合导航：结合惯导解算和卫星接收机单点定位测速，要求采用Kalman滤波器实现惯导/卫星位置、速度组合导航解算，滤波器维数至少包括惯导的位置、速度、姿态角9维。将组合导航后的姿态角与纯惯导的姿态角进行对比分析，给出位置、速度误差曲线。(The laser gyro strapdown inertial navigation system and GNSS receiver are fixed in the experimental compartment of the experimental vehicle. The antenna of the receiver is fixed above the experimental compartment of the experimental vehicle. The on-board computer receives and collects the original data of the inertial navigation system and satellite navigation receiver in real time, and carries out on-board experiments on the suburban open highway.)

说明：  40KHZ局部放电超声信号源模拟仿真，四种衰减形式：单指数、单指数振荡、双指数、双指数衰减震荡(Simulation of 40KHz PD ultrasonic signal source, four attenuation forms: single index, single index oscillation, double index, double index attenuation oscillation)

matlab遗传算法工具箱函数及实例讲解(matlab genetic algorithm toolbox functions and examples to explain)

可用于IEEE802.16标准下ldoc码的性能分析(Can be used for performance analysis of IEEE802.16 standard ldoc code )

说明：  MATLAB6.0数学手册-第一章，一本易于掌握的数学手册，内容由浅入深，对于初学者能很快掌握。(MATLAB6.0 Mathematics Handbook- the first chapter, an easy to grasp mathematical manuals, content, easy-to-digest, for beginners can quickly mastered.)

说明：  共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数。(The Conjugate Gradient method is a method between the steepest descent method and the Newton method. It only needs to use the first derivative information, but overcomes the shortcomings of the steepest descent method and avoids the need for the Newton method to store And the calculation of Hesse matrix and the inverse of the shortcomings, conjugate gradient method is not only to solve large-scale linear equations one of the most useful methods, but also solution for large-scale nonlinear optimization of one of the most effective algorithm. In a variety of optimization algorithms, conjugate gradient method is a very important one. The advantage is that the required storage capacity is small, with step convergence, high stability, and does not require any external parameters.)

This is a standard ofdm simulator

this code is for tracking object in video in matlab with useing frames