Patent US 4,989,170

Patent №

US 4,989,170

Granted

Owner

Lab

AI components

1

ml

Assignment

None on record

Dataset

AIPD

2023_r1 edition

Application

07478719

The present invention provides a technique for updating the coefficients a(n) of an adaptive filter impulse response A(n), where EQU A'(n)=(a.sub.o (n) a.sub.l (n) . . . a.sub.m (n)) is the adaptive filter impulse response at time n. The impulse response is utilized for tracking the output y(n) of a communications channel, where ##EQU1## where H is an unknown impulse response of the channel, EQU H'=(h.sub.o h.sub.l . . . h.sub.m), the ' character denoting transposition. The channel is driven with a known input signal s(n), where EQU S'(n)=(s(n) s(n-l) . . . s(n-m)). According to the techinque, the output x(n) of an adaptive filter, where EQU x(n)=S'(n)A(n) is compared with the channel output y(n) according to the Least Mean Squares (LMS) algorithm to develop an LMS error prediction signal. At the same time, the adaptive filter output x(n) is compared with the channel output y(n) according to the Sign Algorithm (SA) to develop an SA error prediction signal. If the LMS error signal is greater than or equal to a preselected value, then it is used to update the coefficients a(n) of the adaptive filter impulse response. If the LMS error signal is less than the preselected value, then the SA error signal is used to update the coefficients a(n).

Machine learningH03H 21/0043H04L 25/023H04L 2025/03687H04L 2025/037

AI classification

Machine learning1.00
Vision0.38
Evolutionary computation0.16
AI hardware0.14
Planning0.10
Speech0.06
Knowledge representation0.01
Natural language0.00
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