User profiles for Debi Das
Debi Prasad DasSenior Principal Scientist, CSIR-Institute of Minerals and Materials Technology (CSIR-IMMT) … Verified email at immt.res.in Cited by 1627 |
Active mitigation of nonlinear noise processes using a novel filtered-s LMS algorithm
In many practical applications the acoustic noise generated from dynamical systems is
nonlinear and deterministic or stochastic, colored, and non-Gaussian. It has been reported that …
nonlinear and deterministic or stochastic, colored, and non-Gaussian. It has been reported that …
Supercapacitor properties of partially oxidised-MXene quantum dots/graphene hybrids: Fabrication of flexible/wearable micro-supercapacitor devices
…, B Mohanty, G Padhy, RK Trivedi, DP Das… - Chemical Engineering …, 2024 - Elsevier
Recently, combining the synergistic properties of two-dimensional (2D) and zero-dimensional
(0D) materials has attracted significant attention for energy applications. Here, we report …
(0D) materials has attracted significant attention for energy applications. Here, we report …
Particle swarm optimization based active noise control algorithm without secondary path identification
In this paper, particle swarm optimization (PSO) algorithm, which is a nongradient but simple
evolutionary computing-type algorithm, is proposed for developing an efficient active noise …
evolutionary computing-type algorithm, is proposed for developing an efficient active noise …
Filtered-s LMS algorithm for multichannel active control of nonlinear noise processes
This correspondence proposes a novel nonlinear adaptive algorithm named as filtered-s
least mean square (FSLMS) algorithm for multichannel active control of nonlinear noise …
least mean square (FSLMS) algorithm for multichannel active control of nonlinear noise …
Stock market prediction of S&P 500 and DJIA using bacterial foraging optimization technique
The present paper introduces the Bacterial Foraging Optimization (BFO) technique to
develop an efficient forecasting model for prediction of various stock indices. The connecting …
develop an efficient forecasting model for prediction of various stock indices. The connecting …
Interpretation of mill vibration signal via wireless sensing
Tumbling mills emit vibration that can be captured to assess its performance. We interpret the
vibration signature of a one meter diameter mill in response to changes in mill speed, rock/…
vibration signature of a one meter diameter mill in response to changes in mill speed, rock/…
A novel method of extending the linearity range of linear variable differential transformer using artificial neural network
This paper proposes a simple and novel method of designing and developing high-linearity
linear variable differential transformer (LVDT)-based displacement sensing systems. …
linear variable differential transformer (LVDT)-based displacement sensing systems. …
A 16Gb 3b/Cell NAND flash memory in 56nm with 8MB/s write rate
…, J Chan, J Lan, P Hong, L Peng, D Das… - … Solid-State Circuits …, 2008 - ieeexplore.ieee.org
We present an 8 MB/s 3-bit per cell (D3) NAND flash memory that uses the same number of
ECC bytes as 2-bit per cell (D2) NAND. Since no extra columns are added in D3 devices, the …
ECC bytes as 2-bit per cell (D2) NAND. Since no extra columns are added in D3 devices, the …
Functional link artificial neural network applied to active noise control of a mixture of tonal and chaotic noise
Many practical noises emanating from rotating machines with blades generate a mixture of
tonal and the chaotic noise. The tonal component is related to the rotational speed of the …
tonal and the chaotic noise. The tonal component is related to the rotational speed of the …
An efficient narrowband active noise control system for accommodating frequency mismatch
The conventional narrowband active noise control (ANC) is a popular method for reducing
narrowband noise generated from rotating machines like engines, fans, blowers, and power …
narrowband noise generated from rotating machines like engines, fans, blowers, and power …