20000

：介绍了扩展卡尔曼滤波算法和无迹变换(unscented transformation，UT)算法，并对扩展卡尔曼滤波算法(EKF)和无 迹卡尔曼滤波算法(UKF)进行比较，阐明了UKF优于EKF。在此基础上，提出了一种基于Unscented变换(uT)的高斯和滤 波算法，该算法首先通过合并准则得到适当个数的混合高斯模型，逼近系统中非高斯噪声的概率密度(: Introduction of the extended Kalman filter algorithm and unscented transform (unscented transformation, UT) algorithm, the extended Kalman filter algorithm (EKF) and unscented Kalman filter (UKF) for comparison to clarify the UKF is superior to EKF. On this basis, we propose an approach based on Unscented Transform (uT) and the Gaussian filtering algorithm, which first of all, by merging the appropriate number of criteria to be a mixture of Gaussian model, which was close to the system of the Central African Gaussian noise probability density)

说明：  瞬时测频的基础知识、多信道法瞬时测频、鉴频法瞬时测频、干涉仪比相法瞬时测频、驻波鉴相法瞬时测频、瞬时测频编码、数字计算法瞬时测频(Instantaneous Frequency Measurement of the basic knowledge, multi-channel method of instantaneous frequency measurement, frequency Instantaneous Frequency Measurement Act, interferometer phase method than the Instantaneous Frequency Measurement, standing-wave phase Instantaneous Frequency Measurement Act, Instantaneous Frequency Measurement encoding, digital calculation of Instantaneous Frequency Measurement)

an api used for diffrent things

Those wishing to model a surface data in the form of z(x,y) scattered or semi-scattered data have had few options in matlab - mainly griddata.

This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar -xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters. (This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar-xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters. )

tm（横磁场）波照射下球的散射场程序，次程序是在MATLAB环境下编写的。(TM sphere)

详细的介绍了matlab中小波函数，对初学者有一定的帮助(A detailed description of the matlab wavelet function, there is some help for beginners)

运用MATlab软件，通过散斑相关法计算材料在力的作用下的变形和应变(The use of MATlab software, the speckle correlation method to calculate the deformation and strain effect of material in force under the)

Array factor of an antenna using a simple code. Specifically for 1D antenna array

matlab檔案，用於時間格式轉換，可將UnixTime格式轉換成UTC格式(Time format convert)