FuzzyTYPE-2

当信噪比较大时，采用广义最小二乘法可能会出现多个局部收敛点，解决这个问题的方法可用多级最小二乘法，一般来说多级最小二乘法包含三级辨识过程。利用输入输出数据，通过多级最小二乘法，可分别求的辅助模型，过程模型和噪声模型的参数估计值。在高噪声的情况下，多级最小二乘法明显优于广义最小二乘法，其收敛点唯一。(When the signal noise ratio (SNR), and by use of the generalized least squares method may appear more local convergence point, the way of solving this problem can be used multistage least squares method, and generally multistage least squares method includes three identification process. Using input/output data, through the multistage least squares, respectively for the auxiliary model, process model and noise model parameter estimation. In the high noise, multistage least squares method is obviously superior to the generalized least squares method, and its convergence point only.)

该程序实现了彩色图像到RGB以及YUV分量的转化，思路清晰，可直接运行。(The program implements the image to RGB and YUV color component transformation, clear, can be directly run.)

利用五点滑动平均法对信号进行平滑处理，消除噪声信号的影响(5 moving average method is used to analyse the signal smoothing, eliminate the influence of the noise signal)

进行航天器轨道运算经常用到的函数，包括坐标转换，经纬度转换，二体运动，轨道要素计算等等(For spacecraft orbit operations frequently used functions, including coordinate conversion, latitude and longitude conversion, two-body movement, and so calculated orbital elements)

利用matlab实现LK光流法对目标的跟踪(The realization of LK optical flow tracking using MATLAB)

Polar code with CA-SCL Decoder

一维自组织特征映射网络对输入向量空间进行识别分类(One-dimensional self-organizing feature map network input vector space to identify categories)

QPSK_Gardner位定时同步算法的简单仿真，其中的环路滤波器部分参数设计不太合理，但是基本能实现效果。(Simple emulation QPSK_Gardner bit timing synchronization algorithm, which some parameters of the loop filter design is not reasonable, but the basic effect can be achieved.)

使用单相关接收方式对PPM_TH超宽带信号进行相关接收，并计算平均误码率(Simulates the receiver for 2PPM TH UWB signals and computes the average BER)

Vapnik-Cheervonenkis (VC) Dimension 􀂇 Support Vector Machines 􀂇 SVM Applications 􀂇 Committee machines 􀂇 PAC Learning 􀂇 Boosting 􀂇 “No Free Lunch” Theorem(Vapnik-Cheervonenkis (VC) Dimension 􀂇 Support Vector Machines 􀂇 SVM Applications 􀂇 Committee machines 􀂇 PAC Learning 􀂇 Boosting 􀂇 " No Free Lunch" Theorem)