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@article{168138,
        author = {T RAMYA and SK JAFAR AMEEN},
        title = {LOW POWER HIGH ACCURACY APPROXIMATE MULTIPLIER USING APPROXIMATE HIGH ORDER COMPRESSORS},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {4},
        pages = {1418-1422},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=168138},
        abstract = {This paper presents a novel approximate multiplier design that achieves low power consumption while maintaining high accuracy. The proposed design leverages approximate high-order compressors to reduce the complexity of partial product generation and accumulation. By relaxing the precision requirements of the compressors, significant power savings are achieved without compromising accuracy. The approximate multiplier is designed using a hybrid approach, combining algorithmic and circuit-level approximations. The proposed approximate multiplier is suitable for error-resilient applications, such as digital signal processing, image and video processing, and machine learning. The design demonstrates an optimal trade-off between power, area, and accuracy, making it an attractive solution for energy-efficient computing.},
        keywords = {Approximate Multiplier, Low Power Design, High Accuracy, Approximate Compressors, Digital Signal Processing, Error-Resilient Applications.},
        month = {September},
        }