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@article{184707,
        author = {NIRANJAN SHETTAR and Santosh S Bujari},
        title = {Optimized VLSI Architectures for Signal Processing and Data Compression: A Comparative Analysis},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {4},
        pages = {2830-2835},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=184707},
        abstract = {The evolution of Very Large-Scale Integration (VLSI) architectures has significantly improved computational efficiency in signal processing, video compression, and data encoding. This paper reviews three innovative VLSI designs: Feedforward FFT hardware architectures, which enhance efficiency through optimized rotator allocation; HEVC deblocking filter architectures, which improve video compression performance; and high-speed Huffman encoder architectures, which maximize data encoding throughput. A comparative analysis of these architectures highlights their unique advantages, efficiency improvements, and potential future applications. The discussion explores hardware optimization techniques, computational trade-offs, and real-world implementation considerations.},
        keywords = {Feedforward FFT, HEVC Deblocking Filter, Huffman Encoding, Parallel Processing, Memory Interlacing},
        month = {September},
        }