kalman-VB

《matlab时尚编程百例》work40-69()

《数字信号处理实验指导书（MATLAB 版）》 著者： （美）米特拉著 作译者： 孙洪等译 ISBN号： 7-121-00700-2 出版日期： 2005-01 出版社：电子工业出版社 内有书中个例子的源代程序。MAC，PC及UNIX环境下运行的不同代码。()

说明：  按FPE定阶的 源程序：fpe.cpp M序列：M序列.txt 白噪声：Gauss.txt 程序中先用依模型阶次递推算法估计模型的参数，再用fpe方法判断模型的阶次。 程序运行结果如下： n: 1 判断阶次FPE的值: 0.0096406 -0.481665 1.07868 n: 2 判断阶次FPE的值: 0.00875755 -0.446739 0.00498181 1.07791 0.0527289 n: 3 判断阶次FPE的值: 0.0087098 -0.459433 0.120972 -0.0569228 1.07814 0.0390757 0.116982 n: 4 判断阶次FPE的值: 0.000396884 -0.509677 0.4501 -0.200906 0.0656188 1.07991 -0.0156362 0.442989 0.0497236 n: 5 判断阶次FPE的值: 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771 n: 6 判断阶次FPE的值: 3.23349e-007 -1.14659 0.76933 -0.487651 0.329676 -0.10377 -0.00440907 1.07999 -0.703574 0.447253 -0.235282 0.113587 0.00479688 从以上结果可以看出，当n=5时，fpe值最小，所以这时的模型阶次和参数估计值为最优结果： 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771(err)

基于离散泊松方程解的相位解包裹离散余弦算法(Solution of the discrete Poisson equation)

FSK modulation scheme with offset

判定滤波器系统稳定性；以及对于单位阶跃序列的全响应输出波形(Determine the filter system stability And the sequence of unit step response output waveform)

矩形波导与圆波导仿真软件，基于matlab R2014a 索取源代码请联系1611503643@qq.com(Rectangular waveguide and circular waveguide are the most commonly studied waveguide modes in the curriculum of electromagnetic fields & magnetic waves. A scheme of graphical display of the distribution of electromagnetic field in waveguides based on MATLAB is proposed. The impacts of the distribution of electromagnetic fields in the same waveguides and different modes, waveguide size as well as the boundary conditions on the result of simulation are discussed. Experiment results provide guidance for the curriculum.)

基于matlab的太阳能模糊控制模块，根据太阳能电池特性曲线设置规则49条，封装成模糊控制模块，可运用于太阳能模糊控制器(Matlab-based solar fuzzy control module, set the rules according to the characteristic curve of solar cell, packaged into fuzzy control module)

系统的结构参数和负荷情况都已给定时，调节可利用的控制变量(如发电机输出功率、可调变压器抽头等)来找到能满足所有运行约束条件的，并使系统的某一性能指标(如发电成本或网络损耗)达到最优值下的潮流分布。(Optimal power flow(OPF) is a fundamental tool in power system planning and operation.)

Photovoltaic solar power technology is being pushed to the forefront as a viable alternative source of renewable energy. Addressing the key design challenges involved in the development and implementation of these systems requires simulation tools capable of not only modeling and analyzing the behavior of diverse electronic components, but also the ability to combine them with the associated control algorithms and uate the full system performance. In this webinar, MathWorks engineers demonstrate how to use dynamic models to test and validate the performance of photovoltaic systems that include the PV arrays, the power converters and inverter electronics, and a variety of loading conditions, including a connection to the utility grid. The examples show how simulation can be used to perform design trade-offs and to develop and test control algorithms, including maximum power point tracking (MPPT).