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本代码设计的切比雪夫1型滤波器，与MATLAB中的切比雪夫滤波器不同的是输出为未归一化的零极点，输入只要是通带频率，通带波动，截止频率，阻带衰减即可，更便于抄做(The code design of Chebyshev Type 1 filter, and MATLAB in the Chebyshev filter output is not different is that the poles and zeros of the normalized input as long as the pass-band frequency, pass-band fluctuations, cutoff frequency, stopband attenuation can be more easily copied to do)

可控源地震数据模拟，可用于资料模拟与数据处理。(the seismic data of vibroseismic)

本程序的功能是实现人为框定目标后，对目标进行灰度边缘的提取和标记。(gray scale image,edge detected.)

descripteur sift 3D

Processor architecture in single document

说明：  捷联惯导 四元数法 进行导航姿态解算 程序内有详细注解(SINS quaternion attitude solver for navigation with detailed comments)

7.1 倒立摆7.1 倒立摆7.1 倒立摆7.1 倒立摆7.1 倒立摆7.1 倒立摆7.1 倒立摆7.1 倒立摆(7.1 inverted pendulum)

绘制风频的瑞利分布图，风速区间取在0~30m/s。(Draw up the wind frequency of the Rayleigh distribution,Wind speed range in 0 ~ 30 m/s.)

its math related book

1.CAmodelfusion.m 主要功能： （1）完成两个传感器各自对基于CA模型的目标状态的Kalman估计； （2）实现传感器的局部状态估计的SCC和CI融合算法的实现； （3）画出局部估计和两种融合估计的位置、速度、加速度的误差； （4）画出局部估计和两种融合估计的协方差椭圆。 2.CVmodelfusion.m 主要功能： 功能与CAmodelfusion.m基本相似，差异在于实现基于CV模型的估计和估计融合。 3.CovInter.m 主要功能： 寻找CI融合算法的融合估计的协方差阵的行列式最小的权值。 4.f_plot_ellipse_m.m 主要功能： 绘制四种估计的协方差椭圆 (1.CAmodelfusion.m main functions: (1) completion of two sensors each target state based on CA model of Kalman estimation (2) the realization of the sensor partial state estimation algorithm SCC and CI integration and (3) Draw Local estimated position and two fusion estimation, velocity and acceleration errors (4) Draw two fusion of local estimates and estimated covariance ellipse. 2.CVmodelfusion.m Main Features: a CAmodelfusion.m similar, the difference is that the estimated CV-based estimation and model integration. 3.CovInter.m main functions: Find fusion algorithm fusion CI estimated covariance matrix of the determinant minimum weight. 4.f_plot_ellipse_m.m main functions: Draw four kinds estimate covariance ellipse)