Methods and apparatus particularly useful for blind deconvolution
AssigneeRamat University Authority for Applied Research & Industrial Development Ltd.
InventorsOfir Shalvi, Ehud Weinstein
Life of this patent
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AssigneeRamat University Authority for Applied Research & Industrial Development Ltd.
InventorsOfir Shalvi, Ehud Weinstein
Estimating the term…
A method and apparatus for controlling an equalizer receiving the output of an unknown system in order to produce a desired response for recovering the input to the system are characterized by iteratively adjusting the equalizer such that the unknown system combined with the equalizer behaves essentially as a linear system whose (t,n) taps, for some combinations of t and n, are iteratively adjusted according to the following rule: ##EQU1## where s.sub.t,n denotes the (t,n) tap before the iteration, s'.sub.t,n denotes the (t,n) tap after the iteration, I is a preselected integer greater then or equal to one, .alpha..sub.i i=1,2 . . . I are preselected scalars that may vary from iteration to iteration, and p.sub.i, q.sub.i i=1,2, . . . I are preselected non-negative integers such that p.sub.i +q.sub.i .gtoreq.2.
A method for controlling an equalizer to be coupled to an unknown system having an input and an output which equalizer receives the output of the unknown system in order to produce a response recovering the input to said system, characterized by iteratively adjusting the equalizer such that the unknown system combined with the equalizer behaves essentially as a linear system whose (t,n) taps, for some combinations of t and n, are iteratively adjusted according to the following rule:
Apparatus to be coupled to an unknown system having an input and an output for producing a response recovering the input to said system, comprising an equalizer receiving the output of the unknown system and a processor for iteratively adjusting the equalizer such that the unknown system combined with the equalizer behaves essentially as a linear system whose (t, n) taps, for some combinations of t and n, are iteratively adjusted according to the following rule:
Dependencies are inferred from the claim text.