Vector_Analyse

matlab使用教程，是《21 世纪全国应用型本科电子通信系列实用规划教材》。包含：第1 章 MATLAB简介；第2章 MATLAB语言基；第3章 MATLAB数值运算；第4章 结构数组与细胞数组；第5章 MATLAB 符号运算；第6章 MATLAB 程序设计；第7章 MATLAB 数据可视化；第8章 交互式仿真集成环境 SIMULINK；附录 MATLAB 上机实验(Using matlab tutorial is " 21st Century electronic communications nationwide series of application-oriented practical planning materials." Contains: Chapter 1 Introduction MATLAB Chapter 2 MATLAB language group Chapter 3 MATLAB numerical computation Chapter 4 array of structures and cell arrays Chapter 5 MATLAB symbolic computation Chapter 6 MATLAB programming Chapter 7 MATLAB data visualization Chapter 8 interactive simulation integrated environment SIMULINK Appendix MATLAB on experiments)

生成反射系数的，希望对大家有帮助,是我们实验室用做地震资料处理流程中合成地震反射系数用的，具体看程序就知道。(you can see chinese explane,)

说明：  一个matlab平台应用的svm工具箱，该工具箱包括了二种分类,二种回归,以及一种一类支持向量机算法(A matlab platform applications svm toolbox, the kit includes two kinds of classification, two kinds of return, and a one-class support vector machine algorithm)

说明：  计算机视觉的一个典型应用。使用SIFT方法做特征提取，然后用于拼接。(A typical computer vision applications. SIFT feature extraction method used to do, and then used for splicing.)

Solves the system of equations Ax = b = LRx

numerical simulation of ship motion due to waves and manoeuvring

无刷直流电机Matlab/Simulink仿真(BLDC Simulink simulation)

ra_snr_gui.m 作用：统计不同信噪比下，五种信号的峰值旁瓣比RA和低高频均值比RM，绘制结果，参考图3.11和3.12 DFCW_RA_SNR.m 作用：产生正交离散频率编码信号，并计算峰值旁瓣比RA和低高频均值比RM LFM_RA_SNR.m 作用：产生线性调频信号，并计算峰值旁瓣比RA和低高频均值比RM OFDMLFM_RA_SNR.m 作用：产生正交频分线性调频信号，并计算峰值旁瓣比RA和低高频均值比RM PC_RA_SNR.m 作用：产生正交相位编码信号，并计算峰值旁瓣比RA和低高频均值比RM SIN_RA_SNR.m 作用：产生单载频信号，并计算峰值旁瓣比RA和低高频均值比RM 输入参数： vSNR：信噪比向量 输出结果： RA:峰值旁瓣比向量RA，对应信噪比向量 RM:低高频均值比向量RM，对应信噪比向量 calculateRA.m: 作用：计算不同信噪比下峰值旁瓣比RA和低高频均值比RM，参考论文3.4.5节 输入参数: sig：输入信号，可以是多行MIMO信号，运算中将合并为1行信号 vSNR：信噪比向量 输出结果： RA:峰值旁瓣比向量RA，对应信噪比向量 RM:低高频均值比向量RM，对应信噪比向量 sig_dfcw.m 作用：产生正交离散频率编码信号 sig_ofdm.m 作用：产生正交频分线性调频信号 sig_pc.m 作用：产生正交相位编码信号 (ra_snr_gui.m action: Statistics different SNR peak sidelobes than five signal RA and low high frequency average ratio RM, rendering the results, referring to Figure 3.11 and 3.12 DFCW_RA_SNR.m effect: generating orthogonal discrete frequency encoded signal, and calculate the peak sidelobe ratio RA and low and high frequency average ratio RM LFM_RA_SNR.m effect: generating chirp signal and calculates the peak sidelobe ratio RA and low high frequency average ratio RM OFDMLFM_RA_SNR.m effect: generating an orthogonal frequency division chirp signal and calculates peak sidelobe ratio RA and low and high frequency average ratio RM PC_RA_SNR.m effect: generating quadrature phase encoded signals and calculate peak sidelobe ratio RA and the average low and high frequency effects than RM SIN_RA_SNR.m: to produce a single carrier frequency signal, and calculate peak sidelobe ratio RA and RM lower than the average high-frequency input parameters: vSNR: SNR vector output: RA: peak sidelobe ratio v)

matlab基礎教程，適合剛接觸matlab的人(繁中)(matlab basic tutorial, suitable for those who use matlab (troditional chinese))

说明：  神经元整合发放模型。输入刺激参数可以获得一段时间内的动作电位(integrate and fire model.)