Fourth International Conference on Advances in Recent Technologies in Communication and Computing (ARTCom2012) 2012
DOI: 10.1049/cp.2012.2525
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LMS algorithm implementation in FPGA for noise reduction and echo cancellation

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“…The Least Mean Squares (LMS) filter is an adaptive filter that finds the adequate filter coefficients to produce the least mean square error of the difference between the desired and the actual signal [638]. The LMS filters have been used in FPGAs for active noise cancellation in headphones [639], echo cancellation [640][641][642] and non invasive fetal ECG (Electrocardiogram) [643,644]. Other digital filters implementations in FPGAs include Cascaded integrator-comb (CIC) filter [645][646][647][648][649], Infinite Impulse Response (IIR) filters [650][651][652][653] and matched filter [654][655][656][657][658].…”
Section: Digital Filtersmentioning
confidence: 99%
“…The Least Mean Squares (LMS) filter is an adaptive filter that finds the adequate filter coefficients to produce the least mean square error of the difference between the desired and the actual signal [638]. The LMS filters have been used in FPGAs for active noise cancellation in headphones [639], echo cancellation [640][641][642] and non invasive fetal ECG (Electrocardiogram) [643,644]. Other digital filters implementations in FPGAs include Cascaded integrator-comb (CIC) filter [645][646][647][648][649], Infinite Impulse Response (IIR) filters [650][651][652][653] and matched filter [654][655][656][657][658].…”
Section: Digital Filtersmentioning
confidence: 99%