QFTCT

里面有： 基于MATLAB／Simulink环境下的PID参数整定 基于MATLAB的PID控制器参数整定及仿真 基于MATLAB的PID控制器设计 基于MATLAB下的PID控制仿真(Inside: Based on MATLAB/Simulink environment MATLAB-based PID parameter tuning of PID controller tuning and simulation of PID controller design based on MATLAB-based PID control simulation under MATLAB)

通过对大量顾客购买数据进行分析，即购物篮模型，然后给出合理的建议(SHOPPING ansys)

这个是多相滤波的MATLAB程序，做接收机的同学可以参考的(this is a polyphase programme)

Warning: AVIREAD will be removed in a future release. Use MMREADER instead.

有关移动通信中莱斯(Rician)信道衰减的仿真，对信道的理解有一定的帮助(About mobile communications (Rician) Rice fading channel simulation, the channel has some help understanding)

利用matlab生成的dsp代码技术 ，是一种新的dsp程序生成方法，初学者可以值得看一下了解一下这方面的方法，为以后写程序增加一种新途径(Generated using matlab dsp code technology is a new dsp program generation method, can be worth a look for beginners to understand what this means for the future to add a new way to write programs)

说明：  2008国际大学生数学建模一等奖论文，数学建模实例与编程教程，提供建模的方法(First Prize Paper on Mathematical Modeling for International College Students 2008, Mathematical Modeling Example and Programming Course, Providing Modeling Method)

说明：  matlab 工具箱，非常好用，对于有这方面需求的朋友，不错的选择。(matlab toolbox, very easy to use, has in this regard for the needs of friends, good choice.)

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))

this is a file pdf for photonic crystal fibers