ReadVectorFieldFromDat

为了提高使用精度，研究了某型号MEMS陀螺仪的随机漂移模型。采用游程检验法分析了 该陀螺仪随机漂移数据的平稳性，并根据该漂移为均值非平稳、方差平稳的随机过程的结论， 采用梯度径向基（RBF）神经网络对漂移数据进行了建模。实验结果表明：相比经典RBF网络模 型而言，这种方法建立的模型能更好地描述MEMS陀螺仪的漂移特；相对于季节时间序列模型而 言，其补偿效果提高了大约15％。(In order to improve accuracy, to study a particular model of the MEMS gyroscope random drift model. Using run-length analysis of the test gyro random drift data stationarity, and in accordance with the drift for the average non-stationary, the variance of the random process a smooth conclusion, the use of gradient radial basis (RBF) neural network drift data to build mode. The experimental results show that: compared to the classical RBF network model, this method of establishing a model to better describe the MEMS gyroscope drift special compared with the seasonal time series model, the effect of their compensation increased by approximately 15.)

说明：  地震波场是指有地震波传播的空间。本程序用于计算二阶精度规则网格，二维波场模拟。(Seismic wave field refers to the space where seismic wave propagates. This program is used to calculate second-order precision regular grids and two-dimensional wave field simulation.)

最优化方法中的非线性规划的powell方法的matlab实现，可支持多维的参数，自己修改即可。(optimization of the nonlinear programming method of Matlab Powell realized, support multidimensional parameter can change themselves.)

8queen, rolet algorithm any program is in matlam platform format

GPS卫星运动及定位matlab仿真.毕业设计 非常系统完善的实现了GPS定位仿真(GPS positioning principle using MATLAB simulation)

SIFT特征匹配算法是目前国内外特征点匹配研究领域的热点与难点，其匹配能力较强，可以处理两幅图像之间发生的平移、旋转情况下的匹配问题(SIFT features matching algorithm is the hot matching algorithm of feature points at home and abroad . its matching ability is strong.It can match the feature points of two images which are rotated or traslation.)

卷积码的编码、维特比译码，已调试成功，可直接使用(Convolutional code encoding, Viterbi decoding, has been debugged, can be used directly)

Auto L5 Neumann Hoffman Doppler

关于matlab的多分类问题的几篇文章，对于学习matlab 中的svm 多分类问题有帮助(Multi-classification on matlab several articles for learning in matlab svm multi-classification helpful)

preconditioned conjugate gradient