MAP

Finite Element Programming for Matlab in 2D (Stokes flow)

盲源信号分析kernel-ica,amari_distance,chol_gauss,contrast_emp_grad,contrast_ica,demo_dernel_ica(kica for kernel-ica,amari_distance,chol_gauss,contrast_emp_grad,contrast_ica,demo_dernel_ica)

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)

说明：  matlab科学计算继续上传，一共10个章节，由浅入深，几乎包括了绝大部分的科学计算方法以及仿真。本人把部分算法做了优化，更为完善(matlab scientific computing continue to upload, a total 10 chapters, easy-to-digest, almost, including most of the scientific method of calculation and simulation. I have done a part of algorithm optimization, a more perfect)

数字基带系统将数字信号从时域上看时数字滚降，需要画出滚降前后的波形展示出来。频域上带宽变化了。输入滤波器之前的波形与采样判决之后的波形。采样判决前的频谱。 采样判决后的码型。 2、眼图（采样判决之前的眼图）（信噪比大眼图清晰） 3、误码曲线，（横坐标时信噪比，纵坐标时误码率） 4、Arfa变化对误码特性的影响，变好还是变差(变好)，眼图清晰度变化（清晰），传递函数的带宽的变化。（带宽越大）(1.Digital baseband system point of view the digital signal from the time domain when the number of roll-off, you need to draw the waveform displayed before and after the roll-out. The frequency domain, the bandwidth change. Input filter and sample ruling before the wave after wave. Sample pre-judgment spectrum. Sampling pattern after the verdict. 2, the eye diagram (eye before sampling decision) (SNR big eye clear) 3, the error curve (abscissa when the signal to noise ratio, bit error rate when the vertical axis) 4, Arfa impact of change on BER performance, get better or worse (getting better), change of eye-definition (clarity), the transfer function of the bandwidth changes. (The greater the bandwidth))

海量工业数据处理使用，包括了稳态测试，剔除坏值，计算标准差和平均值等(Massive use of industrial data processing, including the steady-state test, remove bad values, calculate the standard deviation and mean, etc.)

说明：  matlab GUI源文件实现MMN排队论的动画演示和计算功能，直接点击运行。(The matlab GUI source file implements the animation demonstration and calculation functions of MMN queue theory, which can be clicked to run directly.)

神经网络代码 关于BP算法以及神经网络的建立及仿真 (Building and Simulation of neural network code on the BP algorithm and neural network)

说明：  利用LMS算法更新滤波器参数，实现自适应信号处理(LMS algorithm is used to update filter parameters to realize adaptive signal processing)

biomedical signal processing book