ber512

Simulink建模与仿真，simulink窗口环境简介 (failed to translate)

说明：  非线性微分方程边值问题打靶算法Matlab程序(Shooting Algorithm for Nonlinear Differential Equations Matlab program)

This code serves as a tutorial for implementation of Scalar Kalman Filter

一个不错的多元逐步回归算法.很实用，不过仅供参考奥(a good multiple stepwise regression algorithm. Very practical, but for reference purposes only Olympic)

it is useful for computing the co occurrence calculation for texture image

This paper presents a dual voltage source inverter (DVSI) scheme to enhance the power quality and reliability of the microgrid system. The proposed scheme is comprised of two inverters, which enables the microgrid to exchange power generated by the distributed energy resources (DERs) and also to compensate the local unbalanced and nonlinear load. The control algorithms are developed based on instantaneous symmetrical component theory (ISCT) to operate DVSI in grid sharing and grid injecting modes. The proposed scheme has increased reliability, lower bandwidth requirement of the main inverter, lower cost due to reduction in filter size, and better utilization of microgrid power while using reduced dc-link voltage rating for the main inverter. These features make the DVSI scheme a promising option for microgrid supplying sensitive loads. The topology and control algorithm are validated through extensive simulation and experimental results.

基于Alamouti的STBC-OFDM系统性能分析(Based on Alamouti' s STBC-OFDM system performance analysis)

code describing jpeg with matlab

这是一个基于灰度相关进行影像匹配的小程序，基于matlab编写(This is a gray correlation based on the image matching small procedures, based on the preparation of Matlab)

time-invariant degradation models and stationary signals and noise, the classical Fourier domain Wiener filter, which can be implemented in O(N logN) time, gives the minimum mean-square-error estimate of the original undistorted signal. For time-varying degradations and nonstationary processes, however, the optimal linear estimate requires O(N2) time for implementation. We consider filtering in fractional Fourier domains, which enables significant reduction of the error compared with ordinary Fourier domain filtering for certain types of degradation and noise (especially of chirped nature), while requiring only O(N logN) implementation time. Thus, improved performance is achieved at no additional cost. Expressions for the optimal filter functions in fractional domains are derived, and several illustrative examples are given in which significant reduction of the error (by a factor of 50) is obtained.