Sakshi Pandey
Papers
1
Total Citations
3
H-Index
1
About
Dr. Sakshi Pandey is a rising researcher in signal processing and information theory, with a focus on advancing the efficiency and accuracy of time-varying signal reconstruction. Her key contributions lie in the area of non-uniform sampling, where she has pioneered methods to navigate the inherent trade-off between reconstruction fidelity and sample size. In her highly cited 2024 work, "Cardinality Constraint Non-Uniform Sampling for Maximizing Reconstruction Accuracy of Time-Varying Signals," Dr. Pandey introduced a novel framework that optimizes sample selection under strict cardinality constraints, directly addressing a critical gap left by prior studies that treated accuracy and sample size as independent objectives. This work has already garnered 3 citations, signaling its growing influence in the field. By enabling more concise yet highly accurate signal representations, her research holds significant promise for applications in communications, biomedical monitoring, and sensor networks. Dr. Pandey’s innovative approach to balancing competing constraints marks her as a thoughtful and impactful contributor to modern signal acquisition theory.
Research Focus
Key Achievements
Top Papers
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