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Process / pipelineAdaptive signal processing

Kichujio kinachobadilika cha LMS

Kichujio cha Least Mean Squares (LMS) ni algorithmu ya usindikaji wa mawimbi inayobadilika ambayo husasisha vipengele vya kichujio ili kupunguza makosa ya mraba kati ya pato la kichujio na mawimbi yanayotakiwa. Imeanzishwa na Bernard Widrow na Marcian Hoff mwaka 1960, algorithmu ya LMS ni mojawapo ya mbinu zinazotumiwa sana za uchujaji unaobadilika kutokana na urahisi wake, gharama ndogo ya hesabu, na uwezo wa kufuatilia mawimbi yanayobadilika kwa wakati.

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Vyanzo

  1. Widrow, B., & Hoff, M. E. (1960). Adaptive Switching Circuits. IRE Wescon Convention Record, 4, 96–104. link
  2. Haykin, S. (2002). Adaptive Filter Theory (4th ed.). Prentice Hall. link

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Least Mean Squares Adaptive Filter. ScholarGate. https://scholargate.app/sw/signal-processing/adaptive-lms-filter

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Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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Imerejelewa na

ScholarGateAdaptive LMS Filter (Least Mean Squares Adaptive Filter). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/signal-processing/adaptive-lms-filter · Seti ya data: https://doi.org/10.5281/zenodo.20539026