Inter-Symbol Interference Under Different Channel Conditions

Analysis of inter-symbol interference across varying channel conditions, including waveform diagrams and eye pattern visualizations with code implementation approaches.

FPGA Implementation of an LMS Algorithm-Based Adaptive Equalizer (Filter) for Digital Communication Systems

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.