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- Rangeet Mitra, Sarabjot Singh, Amit Kumar Mishra
- IET Communications
- 2011

- Rangeet Mitra, Vimal Bhatia
- 2014 International Conference on Information…
- 2014

The diffusion least mean squares (LMS) [1] algorithm gives faster convergence than the original LMS in a distributed network. Also, it outperforms other distributed LMS algorithms like spatial LMS and incremental LMS [2]. However, both LMS and diffusion-LMS are not applicable in non-linear environments where data may not be linearly separable [3]. A variant… (More)

- Rangeet Mitra, Vimal Bhatia
- ArXiv
- 2017

Visible light communication (VLC) is one of the main technologies driving the future 5G communication systems due to its ability to support high data rates with low power consumption, thereby facilitating high speed green communications. To further increase the capacity of VLC systems, a technique called non-orthogonal multiple access (NOMA) has been… (More)

- Rangeet Mitra, Vimal Bhatia
- 2015 23rd European Signal Processing Conference…
- 2015

Adaptive channel equalisation is a signal processing technique to mitigate inter-symbol interference (ISI) in a time dispersive channel. To this end, the use of least mean squares (LMS) algorithm and its variants is widespread since they minimise the minimum mean squared error (MMSE) criteria by online stochastic gradient algorithms and they asymptotically… (More)

- Rangeet Mitra, Tarun Choubisa
- 2011 International Conference on Communications…
- 2011

The Square Contour Algorithm (SCA) solves the problem caused by possible diagonal solutions produced by the Multi-Modulus Algorithm (MMA). However, it suffers from convergence problem. In this paper, we propose a variable step size approach for improving the convergence of the SCA. Lower ISI floors are achieved by a step size controlled by a novel nonlinear… (More)

- Rangeet Mitra, Vimal Bhatia
- ArXiv
- 2015

The diffusion based distributed learning approaches have been found to be a viable solution for learning over linearly separable datasets over a network. However, approaches till date are suitable for linearly separable datasets and need to be extended to scenarios in which we need to learn a non-linearity. In such scenarios, the recently proposed diffusion… (More)

- Rangeet Mitra, Vimal Bhatia
- ArXiv
- 2015

In a distributed network environment, the diffusion-least mean squares (LMS) algorithm gives faster convergence than the original LMS algorithm. It has also been observed that, the diffusion-LMS generally outperforms other distributed LMS algorithms like spatial LMS and incremental LMS. However, both the original LMS and diffusion-LMS are not applicable in… (More)

- Rangeet Mitra, Nagendra Kumar, Vimal Bhatia
- 2015 International Conference on Signal…
- 2015

In this paper, we propose a probabilistic combining in amplify and forward relay protocol in Rayleigh faded wireless cooperative communication systems. This probabilistic combining works on minimum bit error rate (MBER) criterion using the closed form expression for the probability density function (pdf) of the signal to noise ratio at the output of the… (More)

- Rangeet Mitra, Vimal Bhatia
- 2015 Sensor Signal Processing for Defence (SSPD)
- 2015

Underwater communications systems are being increasingly used in defence, security service, oil exploration, ocean science and in many other applications. The underwater acoustic channel is characterised by the large delay spread, Doppler shifts, limited bandwidths and time variability. The channel is also affected by additive impulsive noise, which makes… (More)

- Rangeet Mitra, Amit Kumar Mishra
- ArXiv
- 2013

Iterative algorithms are ubiquitous in the field of data mining. Widely known examples of such algorithms are the least mean square algorithm, backpropagation algorithm of neural networks etc. Our contribution in this paper is an improvement upon these iterative algorithms in terms of their respective performance metrics and robustness. This improvement is… (More)