Spatial filtering using adaptive or smart antennas has emerged as a promising technique to improve the performance of cellular mobile systems. Due to the digital nature of the control of spatial filtering a quantization error is readily present. This is due to the fact that weights and phase information is provided with the aid of finite wordlength processors. This paper presents the developmen...

Clustering analysis often employs unsupervised learning techniques originally developed for vector quantization. In this framework, a frequent goal of clustering systems is to minimize the quantization error, which is aaected by many local minima. To avoid connnement of reference vectors to local minima of the quantization error and to avoid formation of dead units, hard c-means clustering algo...

This letter proposes a method to design a vector quantizer (VQ) for robust performance under noisy channel conditions. By re-optimizing the quantizer at progressively lower levels of assumed channel noise, the design is less susceptible to poor local optima. The method is applied to: 1) channel-optimized VQ design; and 2) index assignment for a source-optimized VQ. For both problems, we demonst...

A G-equivariant spinc structure on a manifold gives rise to a virtual representation of the group G, called the spinc quantization of the manifold. We present a cutting construction for S-equivariant spinc manifolds, and show that the quantization of the original manifold is isomorphic to the direct sum of the quantizations of the cut spaces. Our proof uses Kostanttype formulas, which express t...

Some basic topics in Light-Front (LF) quantized field theory are reviewed. Poincarè algebra and the LF Spin operator are discussed. The local scalar field theory of the conventional framework is shown to correspond to a nonlocal Hamiltonian theory on the LF in view of the constraint equations on the phase space, which relate the bosonic condensates to the non-zero modes. This new ingredient is ...

Wavelet-based transform coding is well known for its utility in perceptual image compression. Psychovisual modeling has lead to a variety of perceptual quantization schemes, for efficient at-threshold compression. Successfully extending these models to supra-threshold compression, however, is a more difficult task. This work attempts to bridge the gap between at threshold modeling and supra-thr...

| This paper examines the eeect of signal quantization on the performance of an adaptive LMMSE DS-CDMA receiver in the up-link of low mobility, high data rate wireless local loop (WLL) application. The baseband receiver considered is the LMS-LMMSE receiver which includes the nite quantization of the incoming signal. Both AWGN channel and mul-tipath channel model based on actual channel measurem...

To enhance the signal quality based on optimization techniques, a scheme based on 9/7 wavelet transform and an optimal re-quantization codebook proposed. The optimal requantization codebook is constructed by an iterative manner for a given quantization codebook that was originally constructed based on the quantization codebook of the specified transmitter. The construction process is iterativel...

The quantum anomaly that breaks the symmetry, for example the parity and the chirality, in the quantization leads to a physical quantity with a topological Chern invariant. We report the observation of a Chern structure in the Bose-insulating phase of Sr2RuO4 nanofilms by employing electric transport. We observed the superconductor-to-insulator transition by reducing the thickness of Sr2RuO4 si...

We present a fully constructive method for quantization of the solution X of a scalar SDE in the path space Lp[0, 1] or C[0, 1]. The construction relies on a refinement strategy, which takes into account the local regularity of X and uses Brownian motion (bridge) quantization as a building block. Our algorithm is easy to implement, its computational cost is close to the size of the quantization...