SER_compare

Predictive direct power control (P-DPC) applied to voltage source pulse-width-modulation (PWM) rectifier was introduced in this paper. Based on the model of power prediction, voltage vectors were selected according to minimizing power errors in a fixed time interval, which results in a constant switching frequency control for P-DPC. It simplifies the implementation of P-DPC procedure by selecting switching states based on the principle of space vector modulation (SVM). In order to eliminate power errors caused by control delay, a detailed control delay compensation scheme was designed. Experimental results based on a 2kW prototype were presented, which showing that P-DPC has a faster power response compared to standard voltage-oriented-control (VOC) techniques. Besides, the dynamic performance of the system is also improved significantly by control delay compensation.

一个瑞利衰落信道容量的测试模型，包括两个m文件和一个说明文档。(A Rayleigh fading channel capacity of the test model, including a description of two m files and documents.)

matlab程序，本程序为样本熵程序，程序可运行，是很好的特征提取参数.(matlab procedures, the procedures for sample entropy, the program can be run, is a good feature extraction parameters.)

xilinx system generator example of PID control of a system

Geodetic tools to be used in navigation analysis

the video numeriqu de eolien

image proccesing improved digital image by frequency filter

The Mass Univariate ERP Toolbox is a freely available set of MATLAB functions for performing mass univariate analyses of event-related potentials (ERPs), a noninvasive measure of neural activity popular in cognitive neuroscience. A mass univariate analysis is the analysis of a massive number of simultaneously measured dependent variables via the performance of univariate hypothesis tests (e.g., t-tests). Savvy corrections for multiple comparisons are applied to make spurious findings unlikely while still retaining a useful degree of statistical power. The advantages of mass univariate analyses include: reduced need for a priori defined time windows/regions of interest, discovery of unexpected effects even when a priori time windows/regions of interest are available, and greater spatial and temporal resolution than conventional mean time window analyses.

matlab第12章内容其他部分正在上传请稍后(matlab other parts of chapter 12 is uploaded please wait)

jMatlLink conected between java and matlab