Mdepth

说明：  matlab入门，比较适合于初学者，有兴趣的可以参考下。(the introduction of matlab)

Simulink model file containing the model of a 1kHz Sinusoidal Oscillator

This is a simple script two illustrate the concepts of Probability density function(pdf) cumulative density function (cdf). Two help pdfs are also included to understand the pdf and cdf concepts.

说明：  Radon变换的matlab工具包，大家可以看看(radon&matlab)

说明：  《载波相位相对定位双差方程原理》验证 《载波相位相对定位单差方程原理》验证 《载波相位相对定位双差方程原理》验证 《载波相位相对定位双差方程原理》验证当基站离流动站很近，并假设流动站概略坐标等于基站坐标，那么双差方程中距离向量就为0(&quot Double difference carrier phase relative positioning equation theory&quot test &quot single-difference carrier phase relative positioning equation theory&quot test &quot double difference carrier phase relative positioning equation theory&quot test &quot double difference carrier phase relative positioning equation principle&quot is verified when the base station from the mobile station near, and assuming that mobile station is equal to the base station coordinates approximate coordinates, so double-differential equation from the vector is 0)

说明：  在这种程序列表中的主要文件是“vblast.m”。键入“help VBLAST系统”关于details.Study通过该方案由步进编码的命令行。(In this process the main file list is &quot vblast.m&quot . Type &quot help VBLAST System&quot on details.Study stepping through the program from the command line coding.)

A. Fusion at the Feature Extraction Level The data obtained from each sensor is used to compute a feature vector. As the features extracted from one biometric trait are independent of those extracted from the other, it is reasonable to concatenate the two vectors into a single new vector. The primary benefit of feature level fusion is the detection of correlated feature values generated by different feature extraction algorithms and, in the process, identifying a salient set of features that can improve recognition accuracy [14]. The new vector has a higher dimension and represents the identity of the person in a different hyperspace. Eliciting this feature set typically requires the use of dimensionality reduction/selection methods and, therefore, feature level fusion assumes the availability of a large number of training data.

说明：  《实战Matlab之并行程序设计》程序代码，教材的附录代码，可供大家根据课本学习使用("Practical Matlab Parallel Programming" program code, appendix code of the textbook, for everyone to learn and use according to the textbook)

different distance metrics in matlab

burgers equation using matlab