shiyan3

关于电力系统状态估计的MATLAB的源程序，敬请参考，不负侵权责任(Power system state estimation on the MATLAB source, please refer to, trust Tort Liability)

IIR FILTER DESING IN MATLAB

关于matlab环境下的ofdm系统，方便了解ofdm原理，理解方便。(Ofdm matlab environment on the system, easy to understand principles of ofdm, easy to understand.)

Convert from latitude, longitude, and altitude (geodetic with respect to the WGS-84 ellipsoid) to a position vector in the Earth-centered, Earth-fixed (ECEF reference frame.

hey there!this is the matlab code for DEC protocol for wireless sensor networks.hope you will find it helpful...

CHP 2 - Real-Time Digital Signal Processing: Implementations and Applications, Second Edition by Sen M. Kuo, Bob H. Lee & Wenshun Tian, ISBN 0470014954(CHP 2- Real-Time Digital Signal Processing: Implementations and Applications, Second Edition by Sen M. Kuo, Bob H. Lee & Wenshun Tian, ISBN 0470014954)

Using K-L transform to compress data is straightforward, since we can use a d dimensional vector to represent a D dimensional one without lose of much information. (Using KL transform to compress data is straightforward, since we can use ad dimensional vector to represent a D dimensional one without lose of much information.)

Solving ODEs with Matlab Instructors Manual

基于模型的设计 利用tlc编写设备驱动代码用于代码自动生成(Tlc to write device driver code for automatic code generation model-based design)

when SNR is high , 1st sample estimator provides good estimate of A. it has no noise effect . so we don’t need averaging effect to reduce noise when SNR is high. However variance is still low in sample mean estimator which shows that in reality ,sample mean is good estimator than 1st sample estimator. So, for high SNR, we do not need to reduce the effect of noise by averaging. or we can say that for high SNR let say >1000 , 1st sample estimator got reduced noise. But as for as variance is concerned , the sample mean has low variance for high SNR as well.