Authors: Dr. Kavita R. Deshmukh, Mr. Subhankar Roy
Abstract: Adaptive filters are widely used in signal processing applications such as noise cancellation, echo suppression, biomedical signal enhancement, and
communication systems. While digital adaptive filters are prevalent, analog circuits offer advantages in terms of high-speed operation, low latency, and low power consumption. This paper presents a comprehensive study of analog
adaptive filter design techniques, including Least Mean Squares (LMS) and Recursive Least Squares (RLS) implementations using operational amplifiers, multipliers, and integrator networks. Key design considerations, such as
stability, convergence rate, and component tolerance, are discussed. Tables summarize filter performance metrics, convergence characteristics, and circuit topologies, while figures illustrate representative analog adaptive filter
implementations. Future trends, including hybrid analog-digital adaptive filtering, are also explored.
Keywords: Adaptive filter, analog circuit, LMS, RLS, operational amplifier, convergence, noise cancellation
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