jielianguandao

use SVM to realize classification

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.)

FDTD 的吸收边界条件讲解，详细讲解了边界条件的推导过程。(Absorbing boundary conditions for numerical simulation of waves.)

说明：  图像的颜色处置 矢量数据的显示 图像分析 进度条的使用 等100个程序实例(The color image display vector data disposal of the progress bar the use of image analysis such as 100 instances)

斯坦福大学公开课第三课中涉及的局部加权线性回归，用matlab实现了在不同带宽下的对比(Stanford open class third lesson involved locally weighted linear regression, using matlab to achieve a comparison of different bandwidths)

脑电信号的读入和判读脑电信号的读入和判读脑电信号的读入和判读脑电信号的读入和判读脑电信号的读入和判读(EEG read and interpret EEG read and interpret EEG read and interpret EEG read and interpret EEG reads and interpretation)

是matlab之语音处理与合成工具箱这本书的随书程序，很实用哦。珍藏！！！(good!!It s useful for you !!!!!)

MATLAB经典程序，内容由简单到困难。我也有相关视频(MATLAB classical procedures, content, from simple to difficult. I also have related videos)

demo of sift function

Communication Systems Lab 7