Real-Time Audio Enhancement: CIC Filter Design for Improved FIR Filter Performance in Digital Signal Processing

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Abstract

The fusion of cascading integrator-comb (CIC) and finite impulse response (FIR) filters to improve audio signals in real time. The development and implementation of an operational audio enhancement system is the main goal. The CIC filter's intrinsic elegance and low computing complexity are utilized for effective decimation or interpolation. Achieving significant rate variations inside the pass band with a flat response to frequency is the key objective. After that, the FIR filter is carefully included to improve performance even more by offering increased frequency shaping and customization to satisfy particular needs for audio improvement. Choosing the right filter order, coefficients, and decimation and interpolated coefficients for the CIC filter, as well as smoothly combining it alongside the FIR filter in a current processing pipeline, are all part of the design stage. The suggested process entails establishing the needs for the system, creating and executing the two filters, and carrying out exhaustive testing and optimization. By providing a thorough method that strikes a balance between computing efficiency, latency, and performance, the work advances the area of immediate fashion sound processing and tackles the difficulties associated with audio improvement in digital systems. The proposed CIC-FIR method achieves a signal-to-noise ratio (SNR) of 12.41 dB, showcasing its performance in maintaining signal fidelity and noise levels. This SNR value serves as a key metric for evaluating the effectiveness of the proposed CIC-FIR approach.

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Keywords

Digital Signal Processing; CascadedIntegrator-Comb Filter; Finite Impulse Response Filter; Latency Optimization