自适应均衡器 Resources

Showing items tagged with "自适应均衡器"

This document presents the schematic diagram of a linear adaptive equalizer (refer to "Introduction to Modern Digital Signal Processing" p.275 for illustration) implemented using the LMS algorithm. Key implementations include plotting the mean-squared error convergence curve for a single trial, deriving final filter coefficients, and conducting 20 independent experiments with 500-sample training sequences. Comparative analysis of three distinct step-size values is provided, demonstrating algorithm stability and convergence behavior through MATLAB-based simulations.

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This paper addresses bit error issues in digital communication systems caused by inter-symbol interference (ISI) and channel additive noise. The project designs an adaptive equalizer/filter using the Least Mean Squares (LMS) algorithm and implements hardware realization through VHDL (VHSIC Hardware Description Language) and FPGA (Field-Programmable Gate Array) technology. The implementation includes key components like tap-weight adaptation, error calculation, and finite impulse response (FIR) filtering operations. This standard graduation thesis serves as a technical reference for implementing adaptive filtering systems with programmable logic devices.

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