kalman

说明：  插值问题：实现了三次自然样条插值函数和Lagrang插值多项式(Interpolation: Implementation of three natural spline interpolation polynomial functions and Lagrang)

鲍威尔算法，最优化算法，研究生学习，大家相互交流(Powell algorithm, optimization algorithms, graduate study, we exchange)

本程序为丹麦奥尔堡大学开发的基于Matlab/Simulink的风电专用工具箱，包含专用的风模型、电机模型、变换器及控制策略等内容，著名的风电软件DIGSILENT等软件就是基于该软件开发的。(This toolbox has been developed during the research project “Simulation Platform to model, optimize and design wind turbines” and it has been used as a general developer tool for other three simulation tools: Saber, DIgSILENT, HAWC. The report provides first a quick overview over Matlab issues and then explains the structure of the developed toolbox. The attention in the report is mainly drawn to the description of the most important mathematical models, which have been developed in the Toolbox. )

GUIWarfare,烈焰行动源代U文件，GUIWarfareGUIWarfare(GUIWarfare, flames action on behalf of U source file, GUIWarfareGUIWarfare)

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)

利用粒子滤波方法，实现目标跟踪的例子。能够直接运行。(Using particle filtering method to achieve target tracking .It can be run directly.)

The chebfun project is a collection of algorithms, and a software system in object-oriented Matlab, which extends familiar powerful methods of numerical computation involving numbers to continuous or piecewise-continuous functions. It also implements continuous analogues of linear algebra notions like the QR decomposition and the SVD. The mathematical basis of the system combines tools of Chebyshev expansions, fast Fourier transform, barycentric interpolation, Clenshaw-Curtis quadrature, and recursive zerofinding.

MS Query based application

GRNN in matlab you can use this code to prediction any parameters using GRNN

模糊滑模控制实例 让你更了解模糊滑模控制器设计(Fuzzy Sliding Mode Control instances more about fuzzy sliding mode controller design)