ESL Incorporated

About: ESL Incorporated is a based out in . It is known for research contribution in the topics: Signal processing & Digital image processing. The organization has 133 authors who have published 133 publications receiving 4440 citations.

An economical class of digital filters for decimation and interpolation

Abstract: A class of digital linear phase finite impulse response (FIR) filters for decimation (sampling rate decrease) and interpolation (sampling rate increase) are presented. They require no multipliers and use limited storage making them an economical alternative to conventional implementations for certain applications. A digital filter in this class consists of cascaded ideal integrator stages operating at a high sampling rate and an equal number of comb stages operating at a low sampling rate. Together, a single integrator-comb pair produces a uniform FIR. The number of cascaded integrator-comb pairs is chosen to meet design requirements for aliasing or imaging error. Design procedures and examples are given for both decimation and interpolation filters with the emphasis on frequency response and register width.

Fast implementations of LMS adaptive filters

Abstract: A frequency domain implementation of the LMS adaptive transversal filter is proposed. This fast LMS (FLMS) adaptive filter requires less computation than the conventional LMS adaptive filter when the filter length equals or exceeds 64 sample points.

The Gradient Model Load Balancing Method

Abstract: A dynamic load balancing method is proposed for a class of large-diameter multiprocessor systems. The method is based on the "gradient model," which entails transferring backlogged tasks to nearby idle processors according to a pressure gradient indirectly established by requests from idle processors. The algorithm is fully distributed and asynchronous. Global balance is achieved by successive refinements of many localized balances. The gradient model is formulated so as to be independent of system topology.

Direction finding with an array of antennas having diverse polarizations

Abstract: The advantages of using diversely polarized antennas to determine bearings of multiple cochannel narrow-band signals are shown Three bearing estimation algorithms-maximum likelihood (ML), adapted angular response (AAR), and Music (multiple signal classification)-are extended to handle antenna arrays with diverse polarizations; the maximum entropy method does not readily extend The proposed algorithms are applicable to arbitrary antenna locations and directional characteristics and arbitrary noise correlations between the antenna outputs The algorithms are compared on the basis of multiple signal resolution and bearing accuracy in the presence of noise The Music algorithm exhibits superior performance at moderate to low signal-to-noise ratio (SNR)

Emitter Location Accuracy Using TDOA and Differential Doppler

Abstract: Two methods for locating a radio or sonar transmitter are briefly described: time difference of arrival (TDOA). d differential Doppler. Two formulas are derived which relate the accuracy of the time and frequency measurements the ?one-sigma widths? of the lines of constant TDOA onstant differential Doppler on the surface of the FDOA.