Kotyada Srinivas
Queen's University
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Publication
Featured researches published by Kotyada Srinivas.
Ramanujan Journal | 2003
M. Ram Murty; Kotyada Srinivas
We investigate the uniform distribution of the sequence nα as n ranges over the natural numbers and α is a fixed positive real number which is not an integer. We then apply this in conjunction with the Linnik-Vaughan method to study the uniform distribution of the sequence pα as p ranges over the prime numbers.
arXiv: Number Theory | 2009
Anirban Mukhopadhyay; M. Ram Murty; Kotyada Srinivas
For an odd positive integer n ≥ 5, assuming the truth of the abc conjecture, we show that for a positive proportion of pairs (a, b) of integers the trinomials of the form t n + at + b (a, b ∈ Z) are irreducible and their discriminants are squarefree.
Bulletin of The London Mathematical Society | 2005
Matti Jutila; Kotyada Srinivas
It is proved that Epstein’s zeta-function ζQ(s) related to a positive definite integral binary quadratic form has a zero 1 2 + iγ with T ≤ γ ≤ T + T 5/11+e for sufficiently large positive numbers T . This improves a classical result of H. S. A. Potter and E. C. Titchmarsh. To Professor K. Ramachandra on his seventieth birthday
International Journal of Number Theory | 2007
Anirban Mukhopadhyay; Kotyada Srinivas
It is well known that bounds on moments of a specific L-function can lead to zero-density result for that L-function. In this paper, we generalize this argument to all L-functions in the Selberg class by assuming a certain second power moment. As an application, it is shown that in the case of symmetric-square L-function, this result improves the existing one.
international conference on computing communication and automation | 2016
Rashmi Agarwal; M. S. Santhanam; Kotyada Srinivas
Most of the well known algorithms for watermarking of digital images involve transformation of the image data to Fourier or singular vector space. In this paper, we introduce watermarking in Hilbert transform domain for digital media. Hilbert transform provides an analytic representation of a signal in terms of a phase and amplitude function. In this work, we apply one-dimensional Hilbert transform on each of the vectors that define an image and embed the watermark in its phase. Based on this idea, we propose an algorithm for embedding and extracting watermark in a host image and analytically obtain a parameter related to this procedure. Using extensive simulations, we show that the algorithm performs well even if the host image is corrupted by various attacks.
Archive | 2007
Mvr Murty; Piara Singh; Kotyada Srinivas
Acta Arithmetica | 2010
Florian Luca; Anirban Mukhopadhyay; Kotyada Srinivas
Acta Arithmetica | 1992
A. Sankaranarayanan; Kotyada Srinivas
Acta Arithmetica | 2002
Kotyada Srinivas
arXiv: Number Theory | 2016
M. Ram Murty; Kotyada Srinivas