46,612 research outputs found
Weighted estimates for dyadic paraproducts and t-Haar multipiers with complexity (m,n)
We extend the definitions of dyadic paraproduct and t-Haar multipliers to
dyadic operators that depend on the complexity (m,n), for m and n positive
integers. We will use the ideas developed by Nazarov and Volberg to prove that
the weighted L^2(w)-norm of a paraproduct with complexity (m,n) associated to a
function b\in BMO, depends linearly on the A_2-characteristic of the weight w,
linearly on the BMO-norm of b, and polynomially in the complexity. This
argument provides a new proof of the linear bound for the dyadic paraproduct
(the one with complexity (0,0)). Also we prove that the L^2-norm of a t-Haar
multiplier for any t and weight w depends on the square root of the
C_{2t}-characteristic of w times the square root of the A_2-characteristic of
w^{2t} and polynomially in the complexity (m,n), recovering a result of
Beznosova for the (0,0)-complexity case.Comment: 27 page
Weighted square function inequalities
For an integrable function f on [0, 1)d, let S(f) and M f denote the corresponding dyadic square function and the dyadic maximal function of f, respectively. The paper contains the proofs of the following statements. (i) If w is a dyadic A1 weight on [0, 1)d, then l 1(w). l 1(w) ≤ cp[w] αp Ap s (f
A new generalization of the Takagi function
We consider a one-parameter family of functions on
and partial derivatives with respect to the
parameter . Each function of the class is defined by a certain pair of two
square matrices of order two. The class includes the Lebesgue singular
functions and other singular functions. Our approach to the Takagi function is
similar to Hata and Yamaguti. The class of partial derivatives
includes the original Takagi function and some
generalizations. We consider real-analytic properties of as a function of , specifically, differentiability, the Hausdorff
dimension of the graph, the asymptotic around dyadic rationals, variation, a
question of local monotonicity and a modulus of continuity. Our results are
extensions of some results for the original Takagi function and some
generalizations.Comment: 22 pages, 2 figures. The structure of paper has been changed
significantl
ISI Cancellation Using Blind Equalizer Based on DBC Model for MIMO-RFID Reader Reception
Under the dyadic backscatter channel (DBC) model, a conventional zero forcing (ZF) and minimum mean square error (MMSE) method for MIMO-RFID reader reception are not able to be rapidly cancelled inter-symbol interference (ISI) because of the error of postpreamble transmission. In order to achieve the ISI cancellation, the conventional method of ZF and MMSE are proposed to resolve a convergence rate without postpreamble by using a constant modulus algorithm (CMA). Depending on the cost function, the CMA is used which based on second order statistics to estimate the channel statement of channel transfer function. Furthermore, the multiple-tag detection is also considered under the assumption of the maximum likelihood estimation. The comparison of the conventional method and the proposed method is analyzed by using computer simulation and experimental data. We can see that the proposed method is better than the conventional method with a faster ISI cancelling and a lower bit error rate (BER) improving as up to 12 tags
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