Palghat Vaidyanathan

About Palghat Vaidyanathan

Palghat Vaidyanathan, With an exceptional h-index of 86 and a recent h-index of 37 (since 2020), a distinguished researcher at California Institute of Technology, specializes in the field of Filter banks, Array Signal Processing, Genomic Signal Processing, Sparse Sampling and Reconstruction, Digital Signal Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Channel estimation for mmWave using the convolutional beamspace approach

Difference coarrays of rational arrays

Unitary Esprit for Coprime Arrays

A Note on the Unit-Circle-Zeros Property of the MVDR Beamformer

Interpolation Filter Model For Ramanujan Subspace Signals

On the Efficiency of Coarray-Based Direction of Arrival Estimation

Error Analysis of Convolutional Beamspace Algorithms

Cramér-Rao Bound for Convolutional Beamspace Method

Palghat Vaidyanathan Information

University

Position

Kiyo and Eiko Tomiyasu Professor

Citations(all)

38659

Citations(since 2020)

8437

Cited By

32739

hIndex(all)

86

hIndex(since 2020)

37

i10Index(all)

296

i10Index(since 2020)

108

Email

University Profile Page

Google Scholar

Palghat Vaidyanathan Skills & Research Interests

Filter banks

Array Signal Processing

Genomic Signal Processing

Sparse Sampling and Reconstruction

Digital Signal Processing

Top articles of Palghat Vaidyanathan

Title

Journal

Author(s)

Publication Date

Channel estimation for mmWave using the convolutional beamspace approach

IEEE Transactions on Signal Processing

Po-Chih Chen

PP Vaidyanathan

2024/3/20

Difference coarrays of rational arrays

Pranav Kulkarni

PP Vaidyanathan

2023/6/4

Unitary Esprit for Coprime Arrays

Po-Chih Chen

PP Vaidyanathan

2023/6/4

A Note on the Unit-Circle-Zeros Property of the MVDR Beamformer

IEEE Signal Processing Letters

PP Vaidyanathan

2023/12/26

Interpolation Filter Model For Ramanujan Subspace Signals

Pranav Kulkarni

PP Vaidyanathan

2023/6/4

On the Efficiency of Coarray-Based Direction of Arrival Estimation

Pranav Kulkarni

PP Vaidyanathan

2023/10/29

Error Analysis of Convolutional Beamspace Algorithms

Po-Chih Chen

PP Vaidyanathan

2023/6/4

Cramér-Rao Bound for Convolutional Beamspace Method

Po-Chih Chen

PP Vaidyanathan

2023/10/29

Periodicity-aware signal denoising using Capon-optimized Ramanujan filter banks and pruned Ramanujan dictionaries

IEEE Transactions on Signal Processing

Pranav Kulkarni

PP Vaidyanathan

2023/2/10

Hybrid Convolutional Beamspace Method for mmWave MIMO Channel Estimation

Po-Chih Chen

PP Vaidyanathan

2023/10/29

Rational arrays for DOA estimation

Pranav Kulkarni

PP Vaidyanathan

2022/5/23

Non-integer arrays for array signal processing

IEEE Transactions on Signal Processing

Pranav Kulkarni

PP Vaidyanathan

2022/11/14

Hybrid convolutional beamspace for DOA estimation of millimeter wave sources

Po-Chih Chen

PP Vaidyanathan

2022/10/31

Rational arrays for DOA estimation: New insights and performance evaluation

Pranav Kulkarni

PP Vaidyanathan

2022/10/31

The theory of linear prediction

Palghat P Vaidyanathan

2022/6/1

Convolutional beamspace using IIR filters

Po-Chih Chen

PP Vaidyanathan

2022/5/23

Joint vertex-time filtering on graphs with random node-asynchronous updates

IEEE Access

Oguzhan Teke

Palghat P Vaidyanathan

2021/8/31

Distributed algorithms for array signal processing

IEEE Transactions on Signal Processing

Po-Chih Chen

PP Vaidyanathan

2021/8/2

Unifying Random-Asynchronous Algorithms for Numerical Methods, Using Switching Systems Theory

Oguzhan Teke

PP Vaidyanathan

2021/10/31

Sliding-Capon based convolutional beamspace for linear arrays

Po-Chih Chen

PP Vaidyanathan

2021/6/6

See List of Professors in Palghat Vaidyanathan University(California Institute of Technology)

Co-Authors

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