CH5--ESC

S变换的matlab源码，并应用几个信号作为例子来说明怎么使用s变换以及s变换可以用来做些什么事情。s变换是时频分析领域中一个较新的内容，现在在信号处理，地震勘探，语音识别等领域都开始了对它的应用研究，是目前的一个热点。(S transform Matlab source, Applied Signal and several examples to illustrate how the use of Transform's's transformation can be used to do anything. Transform's time-frequency analysis is the area of a newer, now in signal processing, seismic exploration, Speech Recognition and other areas has started its applied research, is a hot spot.)

国外计算机科学教材系列，模式识别第四版课后习题部分matlab源码，李晶皎，王爱侠等译(Foreign computer science textbook series, the fourth edition of after-school exercise part of pattern recognition matlab source, Jiao Jing, Wang Aixia translated)

REMEY和STEHFEST数值反演程序，对拉普拉斯空间的解进行数值反演到真实空间里面(REMEY and STEHFEST numerical inversion procedure, the solution of the Laplasse space for the numerical inversion of the real space inside)

matlab 在信号分析处理及其应用signal and proce(matlab in signal analysis and its application to deal with signal and proce)

Visual odometry m file source for vision guys

modified jakes model. matlab code.working fine

数学建模预测模型源程序，包含GM11，神经网络(Mathematical modeling prediction model source code, including GM11, neural networks)

为了获得更加准确的估计位置,对一种基于数据融合的定位解算算法进行了研究,在将模拟退火算法与经典的泰勒级数展开法和Chan氏算法进行性能比较的基础上,将模拟退火算法与上述两种经典的位置解算算法相结合,通过构造多算法协同定位模型,并基于该模型设计了融合定位算法,对传统定位解算算法进行改进,提出了一种基于数据融合的定位解算算法。仿真结果表明,融合算法的定位精度优于非融合算法且运算量较小(In order to obtain more accurate estimates of the location of a data fusion-based positioning solver algorithm is studied in the simulated annealing algorithm with the classical Taylor series expansion method and Chan' s algorithms performance comparison based on simulated annealing algorithm with the above-mentioned two kinds of classical solution calculate the location of the Combination, by constructing a multi-algorithm co-location model, and model design based on the location of the fusion algorithm, the traditional location solver algorithm is proposed to improve a position based on data fusion solver algorithm. Simulation results show that the positioning accuracy of better than fusion fusion algorithm and the computation of non-small)

This sourcecode extracts de melcepstrum coefficient of an audio file. You should give to de function, the audio file save as a vector, and the function returns a vector with 23 melcepstrum coefficients.

This example demonstrates how to use the backend service in Google-App-Engine. 1. Change name of application in app.yml and firstmodule.yaml to the name of you application 2. Upload the files 3. Open the main page