We consider the problem of pointwise estimation of multi-dimensional signals s, from noisy observations (yτ ) on the regular grid Z d. Our focus is on the adaptive estimation in the case when the signal can be well recovered using a (hypothetical) linear filter, which can depend on the unknown signal itself. The basic setting of the problem we address here can be summarized as follows: suppose ...

This paper presents a new method for designing orthonormal wavelet filter banks using the Remez exchange algorithm. It is well known that orthonormal wavelet bases can be generated by paraunitary filter banks. Thus, synthesis of orthonormal wavelet bases can be reduced to the design of paraunitary filter banks. From the orthonormality and regularity of wavelets, we derive some conditions that m...

In this paper, a new AM-FM based filter bank analysis for the estimation of spectro-temporal envelope (STE) of speech signals is proposed. The filter bank is simulated by filtering a frequency translated signal using a single resonator centered around the Nyquist frequency. The proposed design of using a single fixed resonator provides distinct advantages over the traditional methods of filter ...

In this paper, a new model order reduction phenomenon is introduced at the design stage of linear phase digital IIR filter. The complexity of a system can be reduced by adopting the model order reduction method in their design. In this paper a mixed method of model order reduction is proposed for linear IIR filter. The proposed method employs the advantages of factor division technique to deriv...

introduction: the accuracy of analyzing functional mri (fmri) data is usually decreases in the presence of noise and artifact sources. a common solution in for analyzing fmri data having high noise is to use suitable preprocessing methods with the aim of data denoising. some effects of preprocessing methods on the parametric methods such as general linear model (glm) have previously been evalua...

here, we propose an add-drop and a channel drop filter based on two-dimensional photonic crystal all circular ring resonators. these structures are made of a square lattice of silicon rods with the refractive index n1=3.464 surrounded by air (with refractive index n2=1). the broadest photonic band gap occurs at the filling ratio of r/a = 0.17. two linear defect w1 waveguides couple to the ring....

The multivariable autoregressive filter problem asks for a polynomial $$p(z)=p(z_1, \ldots , z_d)$$ without roots in the closed d-disk based on prescribed Fourier coefficients of its spectral density function $$1/|p(z)|^2$$ . conditions derived this paper construction degree one symmetric reveal major divide between case at most two variables vs. three or more variables. latter involves ellipti...

We consider the optimization of preand postfilters surrounding a quantization system. The goal is to optimize the filters such that the mean square error is minimized under the key constraint that the quantization noise variance is directly proportional to the variance of the quantization system input. Unlike some previous work, the postfilter is not restricted to be the inverse of the prefilte...

The angular spectrum representation of the electromagnetic Green's tensor has a part that is a superposition of exponentially decaying waves in the +z and -z directions (evanescent part) and a part that is a superposition of traveling waves, both of which are defined by integral representations. We have derived an asymptotic expansion for the z dependence of the evanescent part of the Green's t...

Subband coders have been used in the past to dex(n) Y b ) compose a signal into subbands. The signals in each subband 4 Hi M F$’(Z) are quantized before transmission. The problem of optimal bit allocation involves allocating bits to the individual quantizers from a fixed budget so as to minimize the overall reconstruction error variance. The problem has been addressed in the past for two cases,...