P
P.P. Vaidyanathan
Researcher at California Institute of Technology
Publications - 532
Citations - 26535
P.P. Vaidyanathan is an academic researcher from California Institute of Technology. The author has contributed to research in topics: Filter bank & Digital filter. The author has an hindex of 73, co-authored 521 publications receiving 24604 citations. Previous affiliations of P.P. Vaidyanathan include National Chiao Tung University & University of California, Santa Barbara.
Papers
More filters
Book
Multirate Systems and Filter Banks
TL;DR: In this paper, a review of Discrete-Time Multi-Input Multi-Output (DIMO) and Linear Phase Perfect Reconstruction (QLP) QMF banks is presented.
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Nested Arrays: A Novel Approach to Array Processing With Enhanced Degrees of Freedom
Piya Pal,P.P. Vaidyanathan +1 more
TL;DR: A new array geometry, which is capable of significantly increasing the degrees of freedom of linear arrays, is proposed and a novel spatial smoothing based approach to DOA estimation is also proposed, which does not require the inherent assumptions of the traditional techniques based on fourth-order cumulants or quasi stationary signals.
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Sparse Sensing With Co-Prime Samplers and Arrays
P.P. Vaidyanathan,Piya Pal +1 more
TL;DR: This paper considers the sampling of temporal or spatial wide sense stationary (WSS) signals using a co-prime pair of sparse samplers and shows that the co-array based method for estimating sinusoids in noise offers many advantages over methods based on the use of Chinese remainder theorem and its extensions.
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Multirate digital filters, filter banks, polyphase networks, and applications: a tutorial
TL;DR: Several applications of the polyphase concept are described, including subband coding of waveforms, voice privacy systems, integral and fractional sampling rate conversion, digital crossover networks, and multirate coding of narrowband filter coefficients.
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A new class of two-channel biorthogonal filter banks and wavelet bases
TL;DR: The authors provide a novel mapping of the proposed 1-D framework into 2-D that preserves the following: i) perfect reconstruction; ii) stability in the IIR case; iii) linear phase in the FIR case; iv) zeros at aliasing frequency; v) frequency characteristic of the filters.