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Input Design for System Identification via Convex Relaxation
Input Design System Identification Convex Relaxation
2010/12/14
This paper proposes a new framework for the optimization of excitation inputs for system identification. The optimization problem considered is to maximize a reduced Fisher information matrix in any o...
Concentration Properties of a Gaussian Field Given that its $L^2$-Norm is Large
Concentration Properties Gaussian Field Given $L^2$-Norm is Large
2010/12/14
The realizations of a Gaussian field are investigated in the limit where its L2-norm is large.
Concentration onto the eigenspace associated with the largest eigenvalue of the covariance of the field ...
A New Adaptive Channel Estimation for Frequency Selective Time Varying Fading OFDM Channels
Adaptive Channel Estimation Frequency Selective Time Varying Fading OFDM Channels
2010/12/10
In this paper a new algorithm for adaptive dynamic channel estimation for frequency selective time varying fading OFDM channels is proposed.
We consider the category of Deligne 1-motives over a perfect field k of exponential characteristic p and its derived category for a suitable exact structure after inverting p.
£ukasiewicz命题逻辑系统中有限命题集的约简理论
完备性定理 Г约简 形式背景
2009/7/27
在n值£ukasiewicz命题逻辑中提出了命题集Г的约简理论，引入由命题集Г所诱导的形式背景的概念，从Г及其子集的关系出发给出了n值命题逻辑中有限命题集Г约简的判定定理以及求Г约简的方法。说明了无穷值£ukasiewicz命题逻辑中命题集Г的约简可转化为n值情形。
Quasi-Regression主要用于解决高维空间的函数逼近问题.虽然这种方法的计算效率非常高,但拟合精度依赖于标量系数的估计.在正交基的线性组合中，选择Quasi-Regression标量系数的最小方差的无偏估计量，从而得到标量系数的新统计量，使得拟合函数的期望由原来的O(p/ｎ)减少到O(p/ｎ２).