Showing papers on "Online analytical processing published in 1985"
TL;DR: A novel method of optically implementing parallel neighborhood operations for two-dimensional discrete binary objects is presented based on techniques of imaging coding and optical correlation and is expected to be a prototype of optical digital-computing systems.
Abstract: A novel method of optically implementing parallel neighborhood operations for two-dimensional discrete binary objects is presented. The operations are executed by the optical-array-logic processor (OLAP) based on techniques of imaging coding and optical correlation. The analogy between the mechanism of the OLAP and that of the array logic is efficiently utilized for the method. Any neighborhood operation is easily executed by the OLAP with the help of the concept of array logic. An architecture of an optical parallel digital-computing system is also presented. The system consists of parallel-processing units using the OLAP’s, which execute neighborhood operations for image data in parallel. This proposed system is expected to be a prototype of optical digital-computing systems.
48 citations
TL;DR: The modeling of system and component noise and error sources in optical linear algebra processors (OLAP's) are considered, with attention to the frequency-multiplexed OLAP.
Abstract: The modeling of system and component noise and error sources in optical linear algebra processors (OLAP's) are considered, with attention to the frequency-multiplexed OLAP. General expressions are obtained for the output produced as a function of various component errors and noise. A digital simulator for this model is discussed.
42 citations
TL;DR: Experimental results indicate applicability of the OLAP for parallel optical digital image processing for both binary and gray-level objects.
Abstract: The optical-logic-array processor (OLAP), using a lensless shadow-casting system, has been applied to execute optical digital image processing for binary objects The OLAP is an optical digital processor based on techniques of image coding and optical correlation that can optically implement parallel logic gates To demonstrate further potential of the OLAP, several processing methods for gray-level objects are presented Experimental results indicate applicability of the OLAP for parallel optical digital image processing for both binary and gray-level objects
27 citations
01 Dec 1985
TL;DR: A new method to estimate the location, center frequency and bandwidth data on noise sources using a new acousto-optic (AO) architecture is presented and it is indicated that one formulation of the steepest decent algorithm to be preferable for optical implementation.
Abstract: : This report summarizes effort concerning the use of optical linear algebra processors (OLAP's) for adaptive radar signal processing. This effort involved extensive algorithm study, significant software development and optical laboratory hardware and architectural work. Adaptive phased array radar (APAR) relies heavily on the solution of matrix vector equations and eigenvalue/eigenvector problems, both of which are suited for OLAP implementation. This report, presents a new method to estimate the location, center frequency and bandwidth data on noise sources using a new acousto-optic (AO) architecture. Initial test results are provided from computer simulations of the performance of several APAR algorithms implemented on an OLAP. The results indicate that one formulation of the steepest decent algorithm to be preferable for optical implementation. Details are provided about a laboratory OLAP near completion. This handles complex data (needed in APAR) and can provided high accuracy. Details are provided for encoding the data for OLAP and the associated error modeling.
1 citations