Search Results - "Pal, Piya"

Nested Arrays in Two Dimensions, Part II: Application in Two Dimensional Array Processing by Pal, Piya, Vaidyanathan, P. P.

“…This paper explores the practical application of a new class of two dimensional arrays, namely, the two dimensional nested arrays, in array processing problems…”
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SERS-based ssDNA composition analysis with inhomogeneous peak broadening and reservoir computing by Nguyen, Phuong H. L., Rubin, Shimon, Sarangi, Pulak, Pal, Piya, Fainman, Yeshaiahu

“…Surface-enhanced Raman spectroscopy employed in conjunction with post-processing machine learning methods is a promising technique for effective data analysis,…”
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Effect of Sparse Array Geometry on Estimation of Co-array Signal Subspace by Hucumenoglu, Mehmet, Pal, Piya

“…This paper considers the effect of sparse array geometry on the co-array signal subspace estimation error for Direction-of-Arrival (DOA) estimation. The second…”
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Cramér-Rao Bounds for Underdetermined Source Localization by Koochakzadeh, Ali, Pal, Piya

“…Although Cramér-Rao Bounds (CRB) for direction-of-arrival (DOA) estimation have been extensively studied for decades, existing results are mainly applicable…”
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Guaranteed Localization of More Sources Than Sensors With Finite Snapshots in Multiple Measurement Vector Models Using Difference Co-Arrays by Qiao, Heng, Pal, Piya

“…The Multiple Measurement Vector (MMV) problem is central to sparse signal processing, where the goal is to recover the common support of a set of unknown…”
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Coprime coarray interpolation for DOA estimation via nuclear norm minimization by Chun-Lin Liu, Vaidyanathan, P. P., Piya Pal

“…Coprime arrays, consisting of two uniform linear arrays whose inter-element separations are coprime, can resolve O(MN) sources using only O(M + N) sensors…”
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Measurement Matrix Design for Sample-Efficient Binary Compressed Sensing by Sarangi, Pulak, Pal, Piya

“…This letter investigates the problem of recovering a binary-valued signal from compressed measurements of its convolution with a known finite impulse response…”
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On Maximum-Likelihood Methods for Localizing More Sources Than Sensors by Qiao, Heng, Pal, Piya

“…This letter offers several new insights into the maximum-likelihood direction-of-arrival (DOA) estimation problem, when the number of sources exceeds the…”
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Multiple Level Nested Array: An Efficient Geometry for $2q$th Order Cumulant Based Array Processing by Pal, Piya, Vaidyanathan, P. P.

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Sparse Sensing With Co-Pprime Samplers and Arrays by VAIDYANATHAN, Palghat P, PAL, Piya

“…This paper considers the sampling of temporal or spatial wide sense stationary (WSS) signals using a co-prime pair of sparse samplers. Several properties and…”
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Gridless Line Spectrum Estimation and Low-Rank Toeplitz Matrix Compression Using Structured Samplers: A Regularization-Free Approach by Heng Qiao, Pal, Piya

“…This paper considers the problem of compressively sampling wide sense stationary random vectors with a low rank Toeplitz covariance matrix. Certain families of…”
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Compressed Arrays and Hybrid Channel Sensing: A Cramér-Rao Bound Based Analysis by Koochakzadeh, Ali, Pal, Piya

“…This letter provides a Cramér-Rao Bound (CRB) based analysis of compressive arrays with applications in mmWave channel sensing, where the measurements at the…”
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Compressed Arrays and Hybrid Channel Sensing: A Cramr-Rao Bound Based Analysis by Koochakzadeh, Ali, Pal, Piya

“…This paper provides a Cramr-Rao Bound (CRB) based analysis of compressive arrays with applications in mmWave channel sensing, where the measurements at the…”
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Performance of Uniform and Sparse Non-Uniform Samplers In Presence of Modeling Errors: A Cramér-Rao Bound Based Study by Koochakzadeh, Ali, Pal, Piya

“…This paper evaluates the performance of uniform and sparse nonuniform sampling techniques (namely nested and coprime sampling) for line spectrum estimation, in…”
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On Fundamental Limits of Joint Sparse Support Recovery Using Certain Correlation Priors by Koochakzadeh, Ali, Qiao, Heng, Pal, Piya

“…This paper provides new probabilistic guarantees for recovering the common support of jointly sparse vectors in multiple measurement vector (MMV) models. In…”
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Pushing the Limits of Sparse Support Recovery Using Correlation Information by Pal, Piya, Vaidyanathan, P. P.

“…A new framework for the problem of sparse support recovery is proposed, which exploits statistical information about the unknown sparse signal in the form of…”
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Simplified and Enhanced Multiple Level Nested Arrays Exploiting High-Order Difference Co-Arrays by Shen, Qing, Liu, Wei, Cui, Wei, Wu, Siliang, Pal, Piya

“…Based on the high-order difference co-array concept, an enhanced four-level nested array (E-FL-NA) is first proposed, which optimizes the consecutive lags at…”
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Nested Arrays: A Novel Approach to Array Processing With Enhanced Degrees of Freedom by Pal, Piya, Vaidyanathan, P P

“…A new array geometry, which is capable of significantly increasing the degrees of freedom of linear arrays, is proposed. This structure is obtained by…”
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Sparse source localization using perturbed arrays via bi-affine modeling by Koochakzadeh, Ali, Pal, Piya

“…Non-uniform spatial sampling geometries, such as nested and coprime arrays, are provably capable of localizing O(M2) sources using only M sensors. However,…”
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Bilinear problems and sparse arrays by Koochakzadeh, Ali, Pal, Piya

“…Inverse problems in imaging with sensor arrays often involve estimation of desired parameters (associated with targets or sources) in presence of undesired…”
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