Vinay Kumar Pamula
@jntucek.ac.in
Assistant Professor / Department of Electronics and Communication Engineering
University College of Engineering Kakinada
Scopus Publications
Scopus Publications
Murali Krishna Y and Vinay Kumar P
IOP Publishing
Abstract Motion artifacts are a pervasive challenge in EEG ambulatory monitoring, often obscuring critical neurological signals and impeding accurate seizure detection. In this study, we propose a new approach of outlier based grouping of two level Singular Spectrum Analysis (SSA) decomposition combined with Relative Total Variation (RTV) filter for the effective removal of motion-induced noise from ambulatory EEG data. A two-stage SSA method was employed to decompose single-channel EEG signal, which had been interfered with, into various fre quency bands. The affected sub-band signal was then subjected to an RTV filter to estimate the artifact signal. Subtracting this estimated artifact signal from the contaminated sub-band signal yielded the filtered sub-band signal. Subse quently, the filtered sub-band signal was reintegrated with the other decomposed components from noise-free bands, culminating in the generation of the ultimate denoised EEG signal. Based on the comprehensive set of simulation results, it can be deduced that the algorithm described in the paper outperforms existing methods. It demonstrates superior metrics evaluation in terms of ΔSNR, η , MAE, and PSNR when compared to these alternatives. Our framework sig- nificantly enhances the quality of EEG data by successfully eliminating motion artifacts while preserving crucial brainwave information. To evaluate the prac tical impact of this noise reduction technique, we assess its performance in the context of seizure detection. The results reveal a substantial improvement in the accuracy and reliability of seizure detection algorithms when applied to EEG data preprocessed with proposed method.
Nageswararao Malisetti and Vinay Kumar Pamula
Springer Science and Business Media LLC
Murali Krishna Y. and Vinay Kumar P.
Elsevier BV
Varakumari Samudrala and Vinay Kumar Pamula
AIP Publishing
Varakumari Samudrala and Vinay Kumar Pamula
AIP Publishing
Nageswararao Malisetti and Vinay Kumar Pamula
Elsevier BV
Murali Krishna Yadavalli and Vinay Kumar Pamula
IEEE
In health care applications portable electroencephalogram (EEG) systems are frequently used to record and process the brain signals due to easy of use and low cost. Electrooculogram (EOG) is the major high amplitude low frequency artifact eye blink signal, which misleads the diagnosis activity of decease. Hence there is demand for artifact remove techniques in portable single EEG devices. In this work presented automatic extraction of EOG artifact by integrating Fluctuation based Dispersion Entropy (FDispEn) with Singular Spectral Analysis (SSA) and Adaptive noise canceller(ANC). The proposed model successfully identifies artifact signal component based on entropy values at different SNR and remove it with ANC for better performance. This method avoid the dependency on threshold to identify artifact subspace unlike previous existed DWT,SSA and Adaptive SSA methods combined with ANC. Proposed method is evaluated on synthetic data and real EEG data set and eliminate eyeblink artifact by preserving the low frequency EEG content. The performance of proposed method shows superiority in performance metrics over existing algorithms.
Komaladitya Challa and Vinay Kumar Pamula
Springer Nature Singapore
Varakumari Samudrala and Vinay Kumar Pamula
Walter de Gruyter GmbH
AbstractA two-port MIMO Dielectric Resonator Antenna (DRA) has been studied and developed. The proposed antenna consists of a single Rectangular DRA (RDRA). The antenna is integrated with the substrate and electrified using coaxial feed, which excites hybrid TM mode in the DR. The mutual coupling within both the ports has been reduced by employing copper shielded on two vertical walls of a rectangular cavity in the centre of DRA. A parametric study has been done to attain optimum parameters, and then the proposed antenna has been fabricated. The presented antenna with acceptable MIMO characteristics covers a measured bandwidth of 1.24 GHz (2.16 GHz – 3.4 GHz) for |S11| ≤ −10 dB, which can operate on LTE bands. The measured isolation between the two ports in the operating band is more than 25 dB. The proposed antenna renders easy fabrication and feeding with good MIMO characteristics. Therefore, the proposed 3D printable MIMO antenna is worthy for LTE applications.
Nageswara Rao Malisetti and Vinay Kumar Pamula
Elsevier BV
Gopala Krishna Mellempudi and Vinay Kumar Pamula
Springer Singapore
S.S. Jaya Surya Devarakonda and Vinay Kumar Pamula
IEEE
It is proposed to study the performance of Mary phase shift keying (MPSK) signals over the Fluctuating Beckmann (FB) fading model. The FB fading model considers the clustering of multipath waves on which the line of sight (LoS) components randomly fluctuate, together with the effect of in-phase/quadrature power imbalance in the LoS and non-LoS components. Thus it unifies a variety of important fading distributions as the one-sided Gaussian, Rayleigh, $\\kappa-\\mu, \\eta-\\mu, \\eta-\\kappa$, Beckmann, Rician shadowed and $\\kappa-\\mu$ shadowed distribution. In this paper, an approximate closed-form expression for average symbol error rate (SER) of MPSK signals over FB fading is derived. Analytical results are presented to study the performance of MPSK scheme. Analytical results shows that the performance of MPSK scheme improves with an increase in signal-to-noise ratio (SNR) for different values of fading/shadowing parameters.
Rajeev Kumar Kanneganti and Vinay Kumar Pamula
IEEE
Image registration (IR) is an image processing technique which is a basic process used to match two or more images of same scene captured with different sensors at different times from different viewpoints. This technique has a wide range of applications in medical imaging, computer vision, remote sensing, military automatic target recognition, and analyzing images and data from satellite images. Earlier, image processing researchers proposed variety of algorithms for IR. Sum of the squared differences (SSD), normalized cross-correlation coefficient (NCC), increment sign correlation coefficient (ISC) and selective correlation coefficient (SCC) are some of the well studied correlation-based methods for IR. It had been proved that these methods fail in presence of outliers. Outliers are nothing but, a perception that lies an anomalous separation from different qualities in an irregular example from a populace. To overcome outliers robust algorithmic methods are required. M-estimation correlation coefficient (MCC) method is such a robust image registration method. Hence, this paper presents the work on MCC method. In earlier, Huber M-estimator and Tukey M-estimator are used for IR. In this paper, Hampel M-estimator and Modified Hampel M-estimator are used for IR. To know the efficiency of these estimators for IR, comparison is done by computing correlation mask function (CMF) using Hampel and Modified Hampel's M-estimators. The CMF stifles the affect of outliers and robustify the IR algorithm. Efficacy of this process is presented in experimental results in terms of computational time and registration performance. Results showed that Hampel and Modified Hampel based MCC method works more efficiently than Huber and Tukey estimators based MCC.
Ravi Kiran Achanta and Vinay Kumar Pamula
IEEE
Direct current (DC) motor plays an important role in industries to convert energy from electrical to mechanical. The speed of DC motor is important in the process control industries so we have to control the speed of DC motor. For this speed control proportional-integral-derivative (PID) controllers are used. For better performance and optimum parameters, PID tuning is used. Traditional tuning techniques for classical PID controller suffer from many disadvantages like non-customized performance measure and insufficient process information. In this paper, we use the Jaya optimization algorithm (JOA) for better performance in speed control and time response of the system. Experimental results are presented to study the performance of JOA based PID controller in comparison with particle swarm optimization (PSO) based PID controller. Practical validation is done on QNET 2.0 DC motor by using LabVIEW® software.
Sravani Yenduri, Vinay Kumar Pamula, and Anil Kumar Tipparti
IEEE
Jaya optimization algorithm (JOA) based multiuser detector over generalized-K (GK) fading channels, in the presence of impulsive noise, is presented in this paper to eliminate multiple access interference (MAI) problem. The JOA is used to implement the M-decorrelator with least squares (LS), Huber (HU), Hampel (HA) and modified Hampel (MH) estimators by minimizing the corresponding penalty functions. An exact expression for average bit error rate (BER) is obtained to analyze the performance of M-decorrelator. Simulation results show the potency of MH based M-decorrelator.
Duttu P. V. S. V. S. Chilamkurthi, Gopi C. Tirupatipati, J. Sulochanarani, and Vinay K. Pamula
IEEE
Optimization algorithms based on evolutionary techniques have been considered for the optimal design perspective of the linear phase digital FIR filter for better control of the parameters of it. The coefficients of the actual filter are optimized by these algorithms. In this paper, Jaya algorithm is applied for the design of linear phase digital FIR filter and its results are compared with those obtained by using teaching learning-based optimization (TLBO) algorithm. The simulation results and comparison show that fast convergence is obtained in both the cases of TLBO and Jaya algorithms; however, the approximation error is smaller in the case of Jaya algorithm. When frequency responses obtained using JAYA & TLBO algorithms are analogized, better performance is shown by Jaya algorithm.
Naveen Kumar Yedere and Vinay Kumar Pamula
IEEE
This paper presents a method of increasing reliability of memory, so as not to make the data erroneous, and to make the data free from multiple cell upsets (MCUs). There are many methods to increase the reliability of memory, but in this paper a modification to decimal matrix code is proposed with reduced redundant bits. The error correction codes which are used to protect memories and to increase the reliability of memory are more complex, because of the shrinking of CMOS technology. The proposed technique increases error detection capability due to the use of decimal algorithm. In the existing decimal matrix code there are more number of redundant bits, which are required for the detection and correction of the data in the memory. In this paper same algorithm as that of decimal matrix code is used but, the number of redundant bits are reduced and it also has less area and power.
Manasa Madhavi Puralachetty, Vinay Kumar Pamula, and Venkata Naresh Babu Akula
IEEE
PID controller tuning plays a very important role in the proper functioning of the plant in which the controller is incorporated. A modification to the already existing algorithms like the differential evolution (DE), particle swarm optimization (PSO) and teaching-learning-based optimization (TLBO) algorithms is done in this paper. The modification is done in the initialization method and is called the two stage initialization (TSI). In TSI, the population vector generation is done randomly in two stages. Then the newly generated population vector from TSI would go through the rest of the phases involved in the algorithms. Further, these two stage initialized optimization algorithms and their original versions are used to tune the PID controller for automatic voltage regulator (AVR) system. Comparison of the results so obtained due to the application of six optimization algorithms out of which three are already existing ones and the other three are their TSI versions to PID-AVR system is also done. It can be realized that TSI helps the existing algorithms to have greater convergence rate and also to converge at a lesser minimum value of the objective function.
Lakshmi Manasa Gondela, Vinay Kumar Pamula, and Anil Kumar Tipparti
IEEE
A multiuser detection (MUD) technique for direct sequence-code division multiple access (DS-CDMA) systems over generalized-K (GK) fading channels using teaching learning based optimization algorithm (TLBO) with two-stage initialization (TSI) is proposed. In DS-CDMA systems, MUD techniques are applied to combat multiple access interference (MAI) and ambient noise. Empirical results proved that the ambient noise is non-Gaussian and impulse in nature which degrades the performance of the system substantially. The DS-CDMA signals are transmitted over channels that introduce impulsive noise, shadowing and fading. In this paper, we develop least-squares (LS), Huber and Hampel M-estimation based MUD technique for joint detection of DS-CDMA signals in the presence of MAI, impulsive noise, modeled by Laplace distribution, and channel fading, modeled by GK distribution. The TLBO with TSI (TLBO-TSI) algorithm is used to minimize a penalty function that is a less rapidly increasing function of residuals. Average bit error rate (BER) is computed to assess the performance of the TLBO-TSI based detector. Obtained results demonstrate that the proposed robust technique offer significant performance gains with increase in signal-to-noise ratio (SNR) and diversity order in the presence of heavy-tailed impulsive noise.
Manasa Madhavi Puralachetty and Vinay Kumar Pamula
IEEE
In this paper, a different type of initialization technique called the two stage initialization (TSI) is used for initializing the population vectors of differential evolution (DE) and particle swarm optimization (PSO). These two stage initialized optimization algorithms are then used to tune the PID controller for a coupled tank liquid level control system. In TSI, the population vector is randomly generated in two stages which would then go through the various phases involved in the algorithms. The PID controller is the most preferred controller in almost all process control industries due to its robustness and dynamic behavior. Hence it has been chosen for controlling the coupled tank liquid level system in this paper. Comparison of the application of four optimization algorithms out of which two are already existing ones and the other two are their TSI versions to PID-coupled tank liquid level system is also done. It can be found that TSI not only helps the existing optimization algorithms to start at a better optima but also to converge at a lesser minimum value of the objective function, which is often desirable.
Manasa Madhavi Puralachetty, Vinay Kumar Pamula, Lakshmi Manasa Gondela, and Venkata Naresh Babu Akula
IEEE
The teaching-learning-based optimization (TLBO) algorithm is an evolutionary algorithm based on simulated teaching-learning procedure in a class. This algorithm requires no controlling parameters and is moulded based on the effect of influence of teacher on the output of learners and hence can be implemented easily and also requires less computational memory compared to other evolutionary algorithms. This paper presents the (TLBO) algorithm with two-stage initialization (TSI). The TLBO with TSI (TLBO-TSI) is tested with the Rastrigin benchmark function and then used to minimize least-squares (LS), Huber (HU) and Hampel (HA) cost functions. Simulation results are presented to show the evolutionary behavior of the TLBO with TSI. Simulation results show that the TLBO-TSI performs better compared to existing TLBO.
N D Malleswara R. Jana, K N V S Sai G. Singaraju, Vinay K. Chilaka, and Vinay K. Pamula
IEEE
This paper presents the outage performance analysis of L-branch maximal ratio combining (L-MRC) diversity scheme in equally correlated η-μ fading channels. Closed-form analytical expression of level crossing rate (LCR) for the combiner output signal-to-noise (SNR) and thereby the expressions for average outage duration (AOD) are derived. Numerical results have been presented to illustrate the effect of average SNR, threshold SNR, diversity order and the channel fading parameters on the performance of L-MRC scheme in terms of LCR and the AOD.
Sirisha Malluri and Vinay K. Pamula
IEEE
Closed form expressions for the probability of outage, the level crossing rate and average fade duration of L-branch selection combiner in generalised Rayleigh (GR) distribution are presented for independent and identically distributed (i.i.d.) channels. Further the average bit error probability for M-ary phase shift keying modulation scheme also derived. These results are compared with Rayleigh distribution in each case.
Srinivasa Rao Vempati, Habibulla Khan, Vinay Kumar Pamula, and Anil Kumar Tipparti
IEEE
This paper presents a new M-estimator based multiuser detection technique for multiple-input multiple-output (MIMO) direct-sequence code division multiple access (DS-CDMA) system including maximal ratio combining (MRC) receive diversity to combat multi access interference (MAI), multipath fading and impulsive noise. An expression for average bit error rate (BER) of M-decorrelator is derived to demodulate coherent BPSK signals over Nakagami-m fading channels. Simulation results shows that the proposed M-estimator based detector outperforms the linear decorrelating detector, the Huber and Hampel estimator based detectors.
Vinay Kumar Pamula, Habibulla Khan, Srinivasa Rao Vempati, and Anil Kumar Tipparti
IEEE
This paper presents a study on the outage performance analysis of basic receive diversity combining schemes in terms of outage probability and average outage duration over Nakagami-0.5 fading channels. Recent attention has been given to Nakagami-0.5 fading channel as a special case of Nakakgami-m fading channel with m = 0.5 and as a worst-case (severe) fading scenario. Closed-form expressions for outage probability and average outage duration are derived for selection combining (SC), equal gain combining (EGC) and maximal-ratio combining (MRC) diversity schemes. The expressions derived are numerically evaluated to study the effect of diversity order and multipath intensity profile (MIP) on the system performance.