activity
20102022
most citedPower efficient Spiking Neural Network Classifier based on memristive crossbar network for spike sorting application

5 citations · 14 across the 10 of their papers we have counts for

collaborators

10 papers

cs.SD2022

Auditory Model based Phase-Aware Bayesian Spectral Amplitude Estimator for Single-Channel Speech Enhancement

Suman Samui, Indrajit Chakrabarti, Soumya K. Ghosh

Bayesian estimation of short-time spectral amplitude is one of the most predominant approaches for the enhancement of the noise corrupted speech. The performance of these estimator…

cs.NE2019

Acoustic Scene Analysis using Analog Spiking Neural Network

Anand Kumar Mukhopadhyay, Naligala Moses Prabhakar, Divya Lakshmi Duggisetty +2

Sensor nodes in a wireless sensor network (WSN) for security surveillance applications should preferably be small, energy-efficient, and inexpensive with in-sensor computational ab…

cs.AR2019

Runtime Mitigation of Packet Drop Attacks in Fault-tolerant Networks-on-Chip

N Prasad, Navonil Chatterjee, Santanu Chattopadhyay +1

Fault-tolerant routing (FTR) in Networks-on-Chip (NoCs) has become a common practice to sustain the performance of multi-core systems with an increasing number of faults on a chip.…

cs.SD2018★ 4 cited

Tensor-Train Long Short-Term Memory for Monaural Speech Enhancement

Suman Samui, Indrajit Chakrabarti, Soumya K. Ghosh

In recent years, Long Short-Term Memory (LSTM) has become a popular choice for speech separation and speech enhancement task. The capability of LSTM network can be enhanced by wide…

cs.NE2018★ 5 cited

Power efficient Spiking Neural Network Classifier based on memristive crossbar network for spike sorting application

Anand Kumar Mukhopadhyay, Indrajit Chakrabarti, Arindam Basu +1

In this paper authors have presented a power efficient scheme for implementing a spike sorting module. Spike sorting is an important application in the field of neural signal acqui…

cs.MM2016

VLSI Friendly Framework for Scalable Video Coding based on Compressed Sensing

B. K. N. Srinivasarao, Vinay Chakravarthi Gogineni, Subrahmanyam Mula +1

This paper presents a new VLSI friendly framework for scalable video coding based on Compressed Sensing (CS). It achieves scalability through 3-Dimensional Discrete Wavelet Transfo…

cs.AR2015★ 2 cited

High Speed VLSI Architecture for 3-D Discrete Wavelet Transform

Batta Kota Naga Srinivasarao, Indrajit Chakrabarti

This paper presents a memory efficient, high throughput parallel lifting based running three dimensional discrete wavelet transform (3-D DWT) architecture. 3-D DWT is constructed b…

cs.MM2015★ 2 cited

Hardware Implementation of Compressed Sensing based Low Complex Video Encoder

Batta Kota Naga Srinivasarao, Indrajit Chakrabarti

This paper presents a memory efficient VLSI architecture of low complex video encoder using three dimensional (3-D) wavelet and Compressed Sensing (CS) is proposed for space and lo…

cs.IT2015

Another look in the Analysis of Cooperative Spectrum Sensing over Nakagami- Fading Channels

Debasish Bera, Sant S. Pathak, Indrajit Chakrabarty +1

Modeling and analysis of cooperative spectrum sensing is an important aspect in cognitive radio systems. In this paper, the problem of energy detection (ED) of an unknown signal ov…

cs.AR2010★ 1 cited

Multi-standard programmable baseband modulator for next generation wireless communication

Indranil Hatai, Indrajit Chakrabarti

Considerable research has taken place in recent times in the area of parameterization of software defined radio (SDR) architecture. Parameterization decreases the size of the softw…