camshift

功能描述：用matlab语言实现RLS自适应算法 函数名：RLS_Algo 输入参数： (1)M:滤波器的阶数 (2)N:LMS算法迭代的次数 (3)lamda:遗忘因子 (4)xn:LMS算法的输入序列 输出参数： (1)系数矢量A 调用函数：无 被调用： 作者：mingcheng 编写时间：2009-10-13 修改时间：2009-10-13 版本：V1.0 (Function Description: The RLS adaptive algorithm matlab language function name: RLS_Algo Input parameters: (1) M: the order of filter (2) N: LMS algorithm the number of iterations (3 ) lamda: forgetting factor (4) xn: LMS algorithm for the input sequence Output parameters: (1) coefficient vector A call the function: No to be called: of: mingcheng write time :2009-10-13 modified :2009-10-13 version: V1.0 )

wind connected to grid circuit

详细介绍了自回归技术公式,同时采用此技术模拟具有空间相关性的随机风荷载,给出了用自回归技术模拟脉动风荷载的步骤以及具体 MATLAB程序(In this paper, the technology of autogressivemodel is introduced. Stochasticwind loadingw ith time and spatial correlation is generated by the autogressive-type simulationmethod, giving autogressive-type simulation process andMATLAB program)

单相逆变电路的模拟控制部分从而实现单相逆变(The analog control part of the single-phase inverter circuit in order to achieve single-phase inverter)

语音信号分析处理实验，主要是线性预测分析的matlab代码(Speech signal analysis and processing experiments, mainly linear predictive analysis matlab code)

设计一维纳滤波器。 （1）产生三组观测数据，首先根据s(n)=as(n-1)+w(n)产生信号s(n)，将其加噪(信噪比分别为20dB，10dB，6dB)，得到观测数据x1(n)，x2(n)，x3(n)。 （2）估计xi(n)，i=1,2,3的AR模型参数。假设信号长度为L，AR模型阶数为N，分析实验结果，并讨论改变L，N对实验结果的影响。 (Design a Wiener filter. (1) generate three sets of observations data, first according to s (n) = as (n-1)+w (n) to generate a signal s (n), which add noise (SNR respectively 20dB, 10dB, 6dB), obtained observation data x1 (n), x2 (n), x3 (n). (2) estimate xi (n), i = AR model parameters 1,2,3. Assuming the signal length L, AR model of order N, analysis of experimental results and discuss changes affect L, N of the experimental results.)

实现图像rgb空间和hsi空间的相互转化，matlab不带这两个函数(rgb to hsi space program and hsi to rgb space program)

国外最新的MATLAB和C++方面的材料，值得一读！！！ (book)

关于信号与系统的一些MATLAB实现程序，基础程序，教学内容(Signals and systems in MATLAB program, the basis of the program, teaching content)

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