Comb Filter Implementation for Signal Decimation and Interpolation

In this implementation, I have personally developed a program focusing on comb filters for signal processing applications. The primary function of this program is to prevent signal distortion during both decimation and interpolation processes. The comb filter serves as a highly effective tool for signal processing, enabling more accurate data acquisition through its efficient frequency response characteristics. The core algorithm implements a cascaded integrator-comb (CIC) structure with configurable decimation/interpolation factors. Key features include: - Polyphase implementation for computational efficiency - Built-in anti-aliasing filters for decimation operations - Anti-imaging filters for interpolation processes - Adjustable filter parameters for different sampling rate conversions Through this program, we can maintain signal quality assurance while ensuring no critical information loss during data processing. The implementation includes optimized difference equations for real-time processing and memory-efficient buffer management. After extensive research and practical testing, I am confident in its performance for real-world applications. The architecture employs fixed-point arithmetic optimization for embedded systems and includes comprehensive testing modules for verification. I am particularly satisfied with the program's modular design, which allows for easy integration into larger signal processing chains, and believe it can significantly benefit your digital signal processing workflows. The code structure follows object-oriented principles for reusability and includes thorough documentation for each filter component.