2014911LMD

在matlab环境中自动识别连通区域的大小,多元数据分析的主分量分析投影，实现典型相关分析。( Automatic identification in the matlab environment the size of the connected area, Principal component analysis of multivariate data analysis projection, Achieve canonical correlation analysis.)

采用信号包络和差分方式进行信号模式识别，通过变换产生时域解析信号SKH ，即信号的复包络，得到零中心归一化瞬时绝对值的标准偏差。 (Differential use of signal envelope and the way the signal pattern recognition, transformation generated by time domain analytic signal SKH, the signal complex envelope, zero-center normalized standard deviation of the instantaneous absolute value.)

该例子介绍了zemax在序列模式下融入非序列，光线从每个被定义的场点(Field Point)射向系统孔径，并且穿越非序列性表面(NSC Surface)前的所有序列性表面(In NSC with Port Design, the system uses the system as defined in aperture (System Aperture) and field (Field) in the sequence mode. The light from each field defined in point (Field Point) fired at the system aperture, and through all sequences of non-sequential surface (NSC Surface) before surface)

实现图像的傅里叶高通、低通滤波.经Fourier变换后的图像，中间部分是低频部分，外边是图像的高频部分。经过低通滤波后，图像中的高频成分被滤除掉，只留下低频成分，图像的边缘部分变得比较模糊了(useful for image Fourier high-pass, low pass filter)

研究上课所讲谱分析方法，利用实验验证书中的结论，掌握各种谱分析方法，学会实验设计和实验结果分析。 实验内容： 所应用到的谱分析方法，包括： 1） 非参数化方法：周期图（直接法）、BT法（间接法），Welch平均周期图法 2） 参数化方法： RELAX、Capon 3） 空间谱估计：常见的DOA方法（Capon） (Experimental Objective: To study methods of spectral analysis class talking about the use of experimental verification of the conclusions of the book, to master a variety of spectral analysis methods, learn experimental design and experimental results. Experiment content: applied to the spectral analysis methods, including: 1) non-parametric methods: periodogram (direct method), BT method (indirect method), Welch average periodogram 2) parameterization: RELAX, Capon 3) spatial spectrum estimation: common of DOA method (Capon))

error correcting matlab codes for primitive polynomial, vector speces

时间序列数据是指按照时间先后依次排列的观测值所构成的数列，如各年度的国内生产总值、人口数据等。研究时间序列数据模型处理的主要目的是进行数据预测，如预测下一年度的销售额、预测股票价格的走势等(Time series data is the number of columns in accordance with the chronological order of priority observations posed, such as gross domestic product each year, the population data. The main purpose of study time series data model for data processing is forecast sales next year as forecast, predict stock price movements, etc.)

说明：  基于MATLAB实现bp神经网络对称模式分类(Bp neural network based on MATLAB to achieve a symmetrical pattern classification)

遗传算法在matlab中的仿真实现以及举例(matlab Genetic Algorithm)

给出接收信号眼图及系统仿真误码率，相参脉冲串复调制信号，信号处理中的旋转不变子空间法，采用了小波去噪的思想，微分方程组数值解方法，LDPC码的完整的编译码，车牌识别定位程序的部分功能。(The received signal is given eye and BER simulation systems, Complex modulation coherent pulse train signal, Signal Processing ESPRIT method, Using wavelet denoising thought, Numerical solution of differential equations method, Complete codec LDPC code, Part of the license plate recognition locator feature.)