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Kalson, S.

Publications and source records attributed to Kalson, S..

Choosing channel quantization levels and viterbi decoding for space diversity reception over the additive white Guassian noise channel

Previous work in the area of choosing channel quantization levels for a additive white Gaussian noise channel composed of one receiver-demodulator is reviewed, and how this applies to the Deep Space Network composed of several receiver-demodulators (space diversity reception) is shown. Viterbi decoding for the resulting quantized channel is discussed.

Kalson, S.↗

Maximum likelihood estimation of signal-to-noise ratio and combiner weight

An algorithm for estimating signal to noise ratio and combiner weight parameters for a discrete time series is presented. The algorithm is based upon the joint maximum likelihood estimate of the signal and noise power. The discrete-time series are the sufficient statistics obtained after matched filtering of a biphase modulated signal in additive white Gaussian noise, before maximum likelihood decoding is performed.

Kalson, S.↗

Results in least-square estimation algorithms with systolic array architectures

It is proposed that the derivation of least-square algorithms for systolic array processing is best accomplished via a geometrical approach. This approach generates a set of vector equations from which a large number of new and previously known systolic arrays can be obtained in a unified manner. The paper presents and qualitatively describes these vector equations and shows how one such systolic array follows.

Kalson, S.↗