Morse

分类和拟合，支持向量新算法。最小二乘，但只能用于二维数据(Classification and fitting a new support vector algorithm. Least squares, but only for two-dimensional data)

本论文主要围绕单载波频域均衡技术展开。首先阐述了无线信道的基本特性，引出了应用均衡技术的必要性。(This thesis focus on a single carrier frequency domain equalization started. First described the basic characteristics of wireless channel, leads to the need for the application of equalization.)

当空间调制（sm）系统中每个符号含有3bits信息(即3bit/s/Hz的频谱利用率)时我们选择：4根发送天线，BPSK调制方式和2根发送天线，4QAM调制方式进行比较。(When the spatial modulation (sm) system, each symbol comprising 3bits information (i.e. 3bit/s/Hz spectral efficiency) when we choose: four transmitting antennas, BPSK modulation method and two transmission antennas, 4QAM modulation for comparison.)

fuzzy logic program for sugeno

采用非线性动态逆与全程滑模变结构控制相结合的思路，建立了一类具有不确定性和外界干扰的仿射非线性系统的强鲁棒性控制策略。(A robust controller design combining the dynamic inversion method and global sliding-mode variable structure control for a class of uncertain affine nonlinear systems is considered.)

利用GramCharlier级数绘制累积概率分布图，具有较高精确度，推荐使用。(The use of Gram Charlier series draw cumulative probability distribution, with high accuracy, it is recommended to use.)

2011年秋季 北京航空航天大学惯性导航系统第一次大作业(2011 inertial navigation the first homework of beihang university )

谱估计法分析随机信号，并对其进行傅里叶变换(Spectral analysis is a tool for signal analysis. Power spectrum estimation is based on limited data looking for signals, the frequency of random process or system components. It said random signal frequency-domain statistical characteristics, there is a clear physical meaning, is an important signal processing research content. Of random signals in the frequency domain, power distribution, that is the power spectral density or power spectrum. Power spectrum estimation has been widely used.)

基于matlab实现的计算光谱数据的马氏距离的算法和多元散射校正MSC(An algorithm for calculating the Markov distance of spectral data based on MATLAB and MSC for multiple scattering correction)

此程序主要是用Matlab进行点云数据的三维建模，对用Matlab进行三维重建有实用价值。 (The procedure is to use Matlab for modeling three-dimensional point cloud data on the three-dimensional reconstruction with Matlab has practical value.)