model-and-application

doppler effect simulation in matlab

viterbi译码 卷积编码 硬判决 软判决(Adaptive viterbi decoder is used for decoding codes of long constraint length, Where as viterbi decoder is used for decoding short constraint lengths. In order to minimize power consumption and BER)

通过9位置法进行加速度标定，采集旋转数据进行陀螺仪标定以及磁力计的标定，以达到减小误差为后续姿态跟踪或解算提高精度(IMU calibration)

二维光子晶体禁带的MATLAB源码,光子晶体中因周期性结构而存在的频率禁带称为光子禁带，光子禁带的存在是光子晶体具有广泛应用前景的重要原因。 禁带越大，可控光的频带也越宽(Two-dimensional photonic crystal band gap of MATLAB source, photonic crystal structure exists because of the cyclical frequency band known as photonic band gap, photonic band gap is the existence of photonic crystal has a broad application prospects of the important reasons. The greater the band gap, controllable light the more wide-band)

MUSIC DOA simulation with matlab

A NEW TOOLBOX APPLICATION OF MULTI-LEVELS VOLTAGE SOURC INVERTER ADD TO SIMULINK MATLAB

ARX model for a exchenger from daisy site

微分方程的matlab解法，实用性较强，易于参考(Solution of differential equations matlab, practical, strong, easy reference)

matlab进行通信仿真的时候，经常需要进行信噪比的计算，然后什么是真正的信噪比。本文给出了详细的解释。SNR(what is the really SNR )

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(Conjugate Gradient method (Conjugate Gradient) is between the steepest descent method between Newton method and a method, it only USES a derivative information, but overcome the steepest descent method slow convergence of weakness, but also avoid the Newton law needs to storage and computing Hesse inverse matrix and shortcomings, Conjugate Gradient method is not only solve linear equations with most of the large method, and also one of the most effective solution large nonlinear optimization of one of the algorithm. In all kinds of optimization algorithm, the conjugate gradient method is very important. Its advantage is the storage capacity needed, it has small step convergence, high stability, and doesn t require any exotic parameters numerical experiment, this is the modern scientific computing of the answer above problem sets)