A5103067946- Fractal and DNA sequence analysis
- Advanced MIMO Systems Optimization
- Blind Source Separation Techniques
- Cooperative Communication and Network Coding
- Advanced Wireless Communication Techniques
- ECG Monitoring and Analysis
- Coding theory and cryptography
- Graph theory and applications
- Mathematical functions and polynomials
- graph theory and CDMA systems
- Analog and Mixed-Signal Circuit Design
- Wireless Sensor Networks and IoT
- Wireless Communication Networks Research
- Poverty, Education, and Child Welfare
- Economic Growth and Development
- Molecular spectroscopy and chirality
- Energy Harvesting in Wireless Networks
- Image and Signal Denoising Methods
- Rings, Modules, and Algebras
- Advanced Data Compression Techniques
- Machine Learning in Bioinformatics
- Fire Detection and Safety Systems
- IoT-based Smart Home Systems
- Computational Drug Discovery Methods
Shiv Nadar University
2016-2019
Suppression of interference from narrowband frequency signals play vital role in many signal processing and communication applications. A transform based method for suppression narrow band a biomedical is proposed. As specific example Electrocardiogram (ECG) considered the analysis. ECG one widely used signal. often contaminated with baseline wander noise, powerline (PLI) artifacts (bioelectric signals), which complicates raw This work proposes an approach using Ramanujan periodic reducing...
Ramanujan Periodic Transform (RPT) is the newly emerging transform to identify periodicities in given data. RPT represents finite length sequence into a weighted linear combination of signals from subspaces. has inability handling frequency components with subspace. This due basis function (Ramanujan sum) used RPT. To overcome this, new mixed representation proposed which uses both sequences subspace and complex exponentials as are orthogonal each other. Using this representation, problem...
3G/4G wireless systems employed multiple antennas at both the transmitter and receiver offered significant gains over single-antenna systems. MassiveMIMO (MM) is one of 5G technologies, which supports to increase demand for high speed data, capacity, energy efficiency spectral efficiency. It known that space-time multiplexing and/or coding offer attractive means combating fading increases capacity in a multi-antenna communication. In this paper, MM downlink scenario considered. Performance...
In the contemporary era, global concerns over noise pollution have escalated, leading to various detrimental effects such as hearing impairment, negative social behavior, annoyance, sleep disturbances, and challenges in speech comprehension. Especially educational settings, elevated levels can significantly disrupt learning teaching processes, rendering environments unsuitable. Leveraging Internet of Things (IoT) technology emerges a viable solution for monitoring environmental or sound...
This paper proposes the precoder for Multi User-MassiveMIMO (MU-MaMI) frequency selective broadcast channels with few User Terminals (UTs) having single antenna each. The effect of MaMI channel will be manifested as ISI and IUI. In order to mitigate these interferences eliminate group level decoding UTs, a is proposed utilizing block time Channel Impulse Responses (CIRs). designed based on following approaches, Matched Filter (MF), Zero Forcing (ZF), Minimum Mean Square Error (MMSE)...
Suppression of interference from narrowband frequency signals play vital role in many signal processing and communication applications. A transform based method for suppression narrow band a biomedical is proposed. As specific example Electrocardiogram (ECG) considered the analysis. ECG one widely used signal. often contaminated with baseline wander noise, powerline (PLI) artifacts (bioelectric signals), which complicates raw This work proposes an approach using Ramanujan periodic reducing...
This paper presents a graph based methodology for increasing the channel capacity of Virtual-Multiple Input Multiple Output (V-MIMO) defined over Wireless Sensor Network (WSN). A fully connected G(V, E, W) is WSN. Then, we propose new clustering algorithm on Fiedler vector G which divides sensor nodes V into two clusters (transmitting and receiving antennas). The links between these results in V-MIMO network. Next, Modified Maximum Spanning Tree Search (MMASTS) proposed to enhance average...
In this study, a new modulation method defined as Ramanujan periodic subspace division multiplexing (RPSDM) is proposed using subspaces. Each contains an integer‐valued sum and its circular downshifts basis. The RPSDM decomposes the linear time‐invariant wireless channels into Toeplitz stair block diagonal matrices, whereas orthogonal frequency (OFDM) decompose same diagonal. Advantages of such structured subspaces representation are studied compared with OFDM in terms peak‐average power...
MassiveMIMO(MaMI) is one of the fiery topics in 5G wireless communications. It introduced based on fact that channel vectors becomes asymptotically orthogonal (as antenna elements tending to infinity). Convergence frequency selective (quasi static block fading) characteristics terms favorable propagation and hardening (asymptotically orthogonal) conditions are studied using metrics like Eigenvalue Ratio (EVR), Mean Absolute Deviation (MAD) Diagonal Dominance (DD). Finally, simulations...
In this paper, a new modulation method defined as Ramanujan Periodic Subspace Division Multiplexing (RPSDM) is proposed using subspaces. Each subspace contains an integer valued Sum (RS) and its circular downshifts basis. The RPSDM decomposes the linear time-invariant wireless channels into Toeplitz stair block diagonal matrices, whereas Orthogonal Frequency (OFDM) decompose same diagonal. Advantages of such structured subspaces representation are studied compared with OFDM in terms...