cztdetectfrequency

轻松应对matlab软件设计，完整论文讲解，多种方法分析(Easy to deal with matlab software design, complete papers explain, multi-method analysis of)

PWM 整流器仿真模型４　　有一定代表性(ＰＷＭ)

进行PCA分解，由迭代算法，算出得分向量和负荷向量(something about PCA)

SML影像融合程式，輸入兩張對位好的來源影像，輸出為一張融合影像(SML image fusion )

多目标优化 一个含有两个优化目标的多目标优化问题(Multi-objective optimization)

基于matlab 的层次分析法程序代码，用于方案选择(Based on the analytic hierarchy process in matlab code for program selection)

脉冲幅度调制解调 实验操作 实验原理 实验注意事项(Pulse amplitude modulation and demodulation principle experiment experimental experimental operation precautions)

运用最小二乘法进行风电功率拟合，再使用它进行预测，含数据和实际案例(Using the least squares method to fit wind power, and then use it to predict, including data and actual cases)

火焰检测的matlab实现方法里面有实现特征提取语句(Flame detection)

汽车高斯曲面拟合 --- 2程序，以适应到表面二维高斯： 子= A *的进出口（ -（（西为X0）^2/2/sigmax^2 +（艺Y0的）^2/2/sigmay^ 2）。。）+ b的 这些例程是自动在某种意义上说，他们并不需要出发对模型参数的猜测规范。 autoGaussianSurfML（十一，彝，子）适合通过对模型参数的最大似然（最小二乘）。它首先计算了该模型在许多可能的参数值，然后选择最佳质量设置和细化与lsqcurvefit它。 autoGaussianSurfGS（十一，彝，紫）的估计，通过指定数据的贝叶斯生成模型，然后采取通过从模型吉布斯抽样样本后ofthis模型参数。这种(Auto Gaussian Surface fit --- 2 routines to fit a 2D Gaussian to a surface: zi = a*exp(-((xi-x0).^2/2/sigmax^2+ (yi-y0).^2/2/sigmay^2))+ b The routines are automatic in the sense that they do not require the specification of starting guesses for the model parameters. autoGaussianSurfML(xi,yi,zi) fits the model parameters through maximum likelihood(least-squares). It first evaluates the quality of the model at many possible values of the parameters then chooses the best set and refines it with lsqcurvefit. autoGaussianSurfGS(xi,yi,zi) estimates the model parameters by specifying a Bayesian generative model for the data, then taking samples from the posterior ofthis model through Gibbs sampling. This method is insensitive to local minimain posterior and gives meaningful error bars (Bayesian confidence intervals))