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Cert Path Validator Test for Andriod.

The code can be used for calculating the element stiffness matrix of a q-4

说明：  主要介绍16QAM调制，及其算法的应用。(This paper mainly introduces 16QAM modulation.)

说明：  蓄电池双向buck-boost变换器，可以仿真，(16/5000 Matlab draw three-dimensional sphere, coordinate axis)

介绍了matlab图形和声音的设计与实现 (Describes the matlab graphics and sound design and implementation)

四分之一的汽车悬架模型simulink的s-function函数(Quarter of the vehicle suspension model)

fuzzy logic ,makes an application that is used to control temperature and humidity of orchid.

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))

此函数用于产生脉冲超宽带系统的训练序列的波形。输出参数有三个：bits--发送的数据,stx--发送的信号,ref--参考信号 发送端调制方式为TH-PAM(The emerging ultra-wideband (UWB) system offers a great potential for high data rate wireless multimedia applications of the home entertainment and industry, as well as for low data rate sensor networks involving low power devices~cite{paragraph1}. One of the most acute challenges in realizing these potentials of the UWB systems is the timing acquisition. Timing errors as small as fractions of a nanosecond could seriously degrade the system performance~cite{paragraph21}. The difficulty in UWB synchronization arises from UWB signals being the ultrashort low-duty-cycle pulses operating at very low power density.)

基于非下采样小波变换的纹理图像特征提取程序(The sampling based on the wavelet transform of texture image feature extraction )