vco

说明：  分别使用周期图法以及改进的周期法实现谱估计(Using periodogram and improved method to achieve spectrum estimation cycle)

基于R-L模型的CT扫描和滤波反投影重建的程序实现(Based on CT scan and filter back projection reconstruction RL model program)

用龙格库塔法求得微分方程的数值解；用龙格库塔法求得微分方程的数值解(Obtained by using Runge-Kutta numerical solution of differential equations obtained by using Runge-Kutta numerical solution of differential equations)

eac 访问控制的一个简单实现，做芯片访问控制的有相当借鉴意义(eac access control)

国外学者编写UKF、EKF、IMM的matlab源码和说明文档，注释清楚，条理性强。最新版本(The methods that are discussed in the current documentation are: Kalman filters and smoothers.Extended Kalman filters and smoothers Unscented Kalman filters and smoothers Interacting Multiple Model (IMM) filters and smoothers)

In this course we present the basic principles of Bayesian statistics (an alternative to "orthodox" statistics). We start by learning how to estimate parameters for standard models (normal, binomial, Poisson) and then get acquainted with computational methods (MCMC) and software (WinBUGS) that can solve complicated problems that arise in real applications.

Raschet upravleniya prodolnim dwigeniem samoleta

MOPSO算法有详细说明，能够良好运行，出pareto图(MOPSO algorithm is described in detail, able to run well, generate the Pareto Diagram)

这是个十分简单有效的程序,可以在任何加噪声的程序里运行(This is a very simple and effective procedure, any increase in noise of the program running)

The Matlab functions and scripts in the MA toolbox are: - ma_sone wav (PCM) to sone (specific loudness sensation) - ma_mfcc wav (PCM) to MFCCs (Mel Frequency Cepstrum Coefficients) - ma_sh sone to Spectrum Histogram - ma_ph sone to Periodicity Histogram - ma_fp sone to Fluctuation Pattern - ma_fc frame based representation (MFCCs or sone) to cluster model (Frame Clustering) - ma_cms cluster models to distance (Cluster Model Similarity) - ma_kmeans kmeans clustering (used by "ma_fc") - ma_cm_visu visualize a cluster model (as returned by "ma_fc") - ma_simple_eval script for a simple evaluation of similarity measures - ma_simple_iom script for a simple islands of music interface (The Matlab functions and scripts in the MA t oolbox are :- ma_sone wav (PCM) to betamethasone ('s specific loudness ensation)- ma_mfcc wav (PCM) to MFCCs (Mel Freq uency diagnoses Coefficients)- ma_sh betamethasone to Sp ectrum Histogram- ma_ph betamethasone to Periodicity Hi stogram- ma_fp betamethasone to Fluctuation Pattern-ma _fc frame based representation (MFCCs or betamethasone) to cluster model (Frame Clustering)- ma_cms cl uster models to distance (Cluster Model Simila rity)- ma_kmeans kmeans clustering (used by "m a_fc ")- ma_cm_visu visualize a cluster model ( as returned by "ma_fc")- ma_simple_eval scrip not for a simple evaluation of similarity measure s-ma_simple_iom script for a simple islands of music interface)