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- Kowtha Murthy, John B. Kam, M. S. Krishnamoorthy
- PODS
- 1983

1 Introduction In this paper, we are going to examine the problem of optimal file allocation In arbitrary computer networks This problem has been shown to be NP-complete [CHAHD76, ESWAR74] Several authors TCHU69, CASEY72, CHAND76, MAHMD76] have stud3ed this problem using analytical, heurlstlc and lmear-Integer programmlng methods But these techniques only… (More)

- S. M. Shamsheer, K. E Sreenivasa Murthy, G Amjad Khan
- 2012

The less time any processor takes in handling instructions the more would be its speed and efficiency. The speed of a processing device is not only based on it's Architectural features or Operational frequencies but also it needs to be dependent on the Memory mapping. A processors memory management is helped out with the operating system on which it is… (More)

- Sunar Arif Hussain, K. E. Sreenivasa Murthy
- 2011

Sensor networks are plagued by the Problems of interference to wireless communication from environmental noise, node failure and energy-constrained nodes. However, they face mote failures, RF interference from environmental noise and energy constraints. Routing protocols are overcome these problems to achieve reliability, energy efficiency and scalability… (More)

- J And Blanchet, K Murthy
- 2014

We present the first exact simulation method for multidimensional reflected Brownian motion (RBM). Exact simulation in this setting is challenging because of the presence of correlated local-time-like terms in the definition of RBM. We apply recently developed so-called ε-strong simulation techniques (also known as Tolerance-Enforced Simulation) which allow… (More)

- G.Amjad Khan, K. E. Sreenivasa Murthy, Sri Kottam, Tulasi Reddy
- 2012

In this paper, we propose a novel least-mean-square (LMS) algorithm for filtering speech sounds in the adaptive noise cancellation (ANC) problem. It is based on the minimization of the squared Euclidean norm of the difference weight vector under a stability constraint defined over the a posteriori estimation error. To this purpose, the Lagrangian… (More)

The paper discuss, applicability of the second-order Newton gradient descent method for blind equalization of complex signals based on the Constant Modulus Algorithm (CMA). The Constant Modulus (CM) loss function is real with complex valued arguments, and, hence, non-analytic. The Hessian for noiseless FIR channels and rederive the known fact that the full… (More)

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