We present a mixed-signal distributed VLSI architecture for massively parallel array processing, with fine-grain embedded memory. The three-transistor processing element in the array combines a charge injection device (CID) binary multiplier and analog accumulator with embedded dynamic random-access memory (DRAM). A prototype 512 128 vector-matrix multiplier on a single 3 mm 3 mm chip fabricate...

This paper develops a structural VAR model to measure how a shock to one country affects other countries’ GDP. It uses trade linkages to estimate the multiplier effects as a shock is transmitted through output fluctuations and introduces a new specification strategy that reduces the number of unknowns and allows cross-country relationships to vary over time.This model is used to examine the imp...

We consider convex quadratic programs with large numbers of constraints. We distribute these constraints among several parallel processors and modify the objective function for each of these subproblems with Lagrange multiplier information from the other processors. New Lagrange multiplier information is aggregated in a master processor and the whole process is repeated. Linear convergence is e...

Large volumes of fingerprints are collected and stored every day in a wide range of applications, including forensics, access control etc. It is evident from the database of Federal Bureau of Investigation (FBI) which contains more than 70 million finger prints. Compression of this database is very important because of this high Volume. The performance of existing image coding standards general...

Let Q denote the field of algebraic numbers in C. A discrete group G is said to have the σ-multiplier algebraic eigenvalue property, if for every matrix A ∈ Md(Q(G,σ)), regarded as an operator on l(G), the eigenvalues of A are algebraic numbers, where σ ∈ Z(G,U(Q)) is an algebraic multiplier, and U(Q) denotes the unitary elements of Q. Such operators include the Harper operator and the discrete...

We study the space of functions ϕ: IN → C such that there is a Hilbert space H, a power bounded operator T in B(H) and vectors ξ, η in H such that ϕ(n) = T n ξ, η. This implies that the matrix (ϕ(i + j)) i,j≥0 is a Schur multiplier of B(ℓ 2) or equivalently is in the space (ℓ 1 ∨ ⊗ ℓ 1) *. We show that the converse does not hold, which answers a question raised by Peller [Pe]. Our approach make...

We present a study on applications of multiwavelet analysis to image compression, where filter coefficients form matrices. As a multiwavelet filter bank has multiple channels of inputs, we investigate the data initialization problem by considering prefilters and postfilters that may give more efficient representations of the decomposed data. The interpolation postfilter and prefilter are formul...

Systematic design methods for multifilters and multiwavelets are presented. Explicit formulae are given for aliasing cimcellation in biorthogonal multifilter banks. The relationship with vector transforms over the real or finite fields is described.

Advances in wavelet transforms and quantization methods have produced algorithms capable of surpassing the existing image compression standards like the Joint Photographic Experts Group (JPEG) algorithm. For best performance in image compression, wavelet transforms require filters that combine a number of desirable properties, such as orthogonality and symmetry. However, the design possibilitie...