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Journals

1. P. Ganjimala, V. C. Gogineni and S. Mula, "Performance Analysis of Hammerstein Block-Oriented Functional Link Adaptive Filters," in IEEE Signal Processing Letters (Early Access), doi: 10.1109/LSP.2024.3453663.

Conferences

1. P. Ganjimala and S. Mula, "A proportionate type block-oriented functional link adaptive filter for sparse nonlinear systems," 2024 IEEE International Symposium on Circuits and Systems (ISCAS), Singapore, Singapore, 2024, pp. 1-5.

2. P. Ganjimala and S. Mula, "A Low Complexity Block-oriented Functional Link Adaptive Filtering Algorithm," 2023 30th IEEE International Conference on Electronics, Circuits and Systems (ICECS), Istanbul, Turkiye, 2023, pp. 1-5.

3. P. K. Ganjimala and S. Mula, "High performance VLSI architecture for the modified SORT-N algorithm",  2022 IEEE International Symposium on Circuits and Systems (ISCAS) 2022, Austin, TX, USA, 2022, pp. 2112-2116.

4. G. P. Kumar and G. Sreelekha, "Fast SCC in HEVC using a Palette Mode Decision Tree Classifier," 2020 International Conference on Communication and Signal Processing (ICCSP), Chennai, India, 2020, pp. 1356-1360.

Preprints

1. P. Ganjimala*, E. S. V. T. R. Sanivarapu,* and S. Mula, “Improved Real-Time Fast Simplex Growing Algorithm for Endmember Extraction in Hyperspectral Data and its FPGA architecture”, TechRxiv, 2022. [TechRxiv]

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