{"ID":2850042,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2510.22674","arxiv_id":"2510.22674","title":"Approximate Signed Multiplier with Sign-Focused Compressor for Edge Detection Applications","abstract":"This paper presents an approximate signed multiplier architecture that incorporates a sign-focused compressor, specifically designed for edge detection applications in machine learning and signal processing. The multiplier incorporates two types of sign-focused compressors: A + B + C + 1 and A + B + C + D + 1. Both exact and approximate compressor designs are utilized, with a focus on efficiently handling constant value \"1\" and negative partial products, which frequently appear in the partial product matrices of signed multipliers. To further enhance efficiency, the lower N - 1 columns of the partial product matrix are truncated, followed by an error compensation mechanism. Experimental results show that the proposed 8-bit approximate multiplier achieves a 29.21% reduction in power delay product (PDP) and a 14.39% reduction in power compared to the best of existing multipliers. The proposed multiplier is integrated into a custom convolution layer and performs edge detection, demonstrating its practical utility in real-world applications.","short_abstract":"This paper presents an approximate signed multiplier architecture that incorporates a sign-focused compressor, specifically designed for edge detection applications in machine learning and signal processing. The multiplier incorporates two types of sign-focused compressors: A + B + C + 1 and A + B + C + D + 1. Both exa...","url_abs":"https://arxiv.org/abs/2510.22674","url_pdf":"https://arxiv.org/pdf/2510.22674v1","authors":"[\"L. Hemanth Krishna\",\"Srinivasu Bodapati\",\"Sreehari Veeramachaneni\",\"BhaskaraRao Jammu\",\"Noor Mahammad Sk\"]","published":"2025-10-26T13:29:08Z","proceeding":"cs.AR","tasks":"[\"cs.AR\",\"cs.IT\",\"eess.IV\"]","methods":"[]","has_code":false}