We describe a wavelet-based approach to linear inverse problems in image processing. In this approach, both the images and the linear operator to be inverted are represented by wavelet expansions, leading to a multiresolution sparse matrix representation of the inverse problem. The constraints for a regularized solution are enforced through wavelet expansion coefficients. A unique feature of the wavelet approach is a general and consistent scheme for representing an operator in different resolutions, an important problem in multigrid/multiresolution processing. This and the sparseness of the representation induce a multigrid algorithm. The proposed approach was tested on image restoration problems and produced good results.

Several computer-aided design (CAD) tools suitable for use by the designers of digital signal and data processors based on the quasi-TEM assumption for multiconductor transmission lines are presented. The integral equation method due to C. Wei, et al. (1984) is selected for the evaluation of electrostatic parameters, including capacitance, inductance, conductance, and resistance matrices, and attenuation factors as well as propagation constants and crosstalk. These parameters are thereafter used to simulate the waveforms of coupled stripline/microstrip lines by the system decoupling method, which is derived in a manner simpler than previously described in the literature. The computer codes along with the graphics input routines have been integrated into a CAD system referred to as MagiCAD, and are suitable for direct use in CAD procedures for the design of high-clock-rate digital circuits. Numerical examples, comparisons, and applications are shown.>

The development of gallium arsenide digital integrated circuit technology has progressed rapidly during the past decade. It is argued that in order to derive the maximum benefit from this technology as it is inserted into next-generation signal and data processors, all aspects of the design, assembly, testing, and maintenance of the systems will have to be considered synergistically. Salient issues which must be considered in the implementation of these advanced digital processors are reviewed, including the effects of system, logic board, chip layout, and packing constraints on memory layout, logic design, and arithmetic implementation.>