Dr. Nilesh Parihar - Academia.edu (original) (raw)

Papers by Dr. Nilesh Parihar

Research paper thumbnail of Real-Time Algorithms and Architectures for several user Channel Detection in Wireless Base Station Receivers

International Journal of Reconfigurable and Embedded Systems (IJRES), 2015

In this paper presents algorithms and architecture designs that can meet real-time requirements o... more In this paper presents algorithms and architecture designs that can meet real-time requirements of for several user channel estimation and detection in code-division multiple-access-based wireless base-station receivers. Entangled algorithms proposed to implement several user channel assessment and demodulation make their real-time execution difficult on current digital signal processor-based receivers. A based several user channel assessment scheme requiring matrix conversion is draft again from an demodulation perspective for a reduced intricacy, repetitive scheme with a simple fixed-point very large scale integration architecture. A reduced-intricacy, bit-streaming several user demodulation algorithm that avoids the need for demodulation is also developed for a simple, pipelined VLSI architecture. Thus, we develop real-time solutions for several user channel assessment and demodulation for third-generation wireless systems by: 1) designing the algorithms from a fixed-point execu...

Research paper thumbnail of A Optimum Resource Allot for Data in Code Division multiple access Contrary Link

IOSR Journal of Electronics and Communication Engineering, 2014

The optimum resource apportionment standpoint is studied for non-real-time users CDMA (code divis... more The optimum resource apportionment standpoint is studied for non-real-time users CDMA (code division multiple access) overturn link. A resource apportionment standpoint of concern includes channel coding, out strectching gain control and power allocation under the conventional receive operation. The restriction in the optimization include peak transmit power of the mobile station, total received power at the base station and QoS in the form of minimum SINR (Signal-to-Interference-plus-Noise-Ratio) for each user. The coding and flattening gain control can be share from the power apportionment strategy. Our results show that the optimal power allotment standpoint depends on the purpose function: avaricious standpoint is optimal to maximize the sum of throughput from each user, whereas a fair standpoint is optimal to maximize the product of throughput from each user. A unified approach is taken to derive the optimal policies, and it can also be applied to other power apportionment problems in CDMA (code division multiple access) reverse link. Numerical results of the channel volume which can be held are presented for both objectives along with the effect of QoS constraints Code division multi access, information rates land(arrive on the ground, alight) mobile radio cellular systems, nonlinear programming resource (source of wealth) management. I.

Research paper thumbnail of Removal of Baseline wander and detection of QRS complex using wavelets

— ECG signals are used to detect the heart rate and heart abnormalities. For extraction of ECG fe... more — ECG signals are used to detect the heart rate and heart abnormalities. For extraction of ECG features and detection of QRS complexes it is required to remove baseline wander and minimize the noise interference. In this paper we proposed a technique to remove baseline wander using Kaiser Windowing filter and wavelet transform, among which wavelet is most powerful and effective tool for analyzing transient signal. The algorithm is developed in matlab with standard CSEECG database.

Research paper thumbnail of R — Peak detection using Bayesian regularization neural network

2017 International Conference on Information, Communication, Instrumentation and Control (ICICIC), 2017

This paper gives a new approach for a automatically detect the R peaks of ECG signal, for which R... more This paper gives a new approach for a automatically detect the R peaks of ECG signal, for which R peaks detection baseline wonder is removed to minimize the noise interference. We use Kaiser Windowing technique and automated Bayesian regularization neural network to learn the characteristics of QRS complex to detect R peaks. This algorithm detection performance is high with the sensitivity is 98.6% and positive Predictivity 98.64%.

Research paper thumbnail of Real-Time Algorithms and Architectures for several user Channel Detection in Wireless Base Station Receivers

International Journal of Reconfigurable and Embedded Systems (IJRES), 2015

In this paper presents algorithms and architecture designs that can meet real-time requirements o... more In this paper presents algorithms and architecture designs that can meet real-time requirements of for several user channel estimation and detection in code-division multiple-access-based wireless base-station receivers. Entangled algorithms proposed to implement several user channel assessment and demodulation make their real-time execution difficult on current digital signal processor-based receivers. A based several user channel assessment scheme requiring matrix conversion is draft again from an demodulation perspective for a reduced intricacy, repetitive scheme with a simple fixed-point very large scale integration architecture. A reduced-intricacy, bit-streaming several user demodulation algorithm that avoids the need for demodulation is also developed for a simple, pipelined VLSI architecture. Thus, we develop real-time solutions for several user channel assessment and demodulation for third-generation wireless systems by: 1) designing the algorithms from a fixed-point execu...

Research paper thumbnail of A Optimum Resource Allot for Data in Code Division multiple access Contrary Link

IOSR Journal of Electronics and Communication Engineering, 2014

The optimum resource apportionment standpoint is studied for non-real-time users CDMA (code divis... more The optimum resource apportionment standpoint is studied for non-real-time users CDMA (code division multiple access) overturn link. A resource apportionment standpoint of concern includes channel coding, out strectching gain control and power allocation under the conventional receive operation. The restriction in the optimization include peak transmit power of the mobile station, total received power at the base station and QoS in the form of minimum SINR (Signal-to-Interference-plus-Noise-Ratio) for each user. The coding and flattening gain control can be share from the power apportionment strategy. Our results show that the optimal power allotment standpoint depends on the purpose function: avaricious standpoint is optimal to maximize the sum of throughput from each user, whereas a fair standpoint is optimal to maximize the product of throughput from each user. A unified approach is taken to derive the optimal policies, and it can also be applied to other power apportionment problems in CDMA (code division multiple access) reverse link. Numerical results of the channel volume which can be held are presented for both objectives along with the effect of QoS constraints Code division multi access, information rates land(arrive on the ground, alight) mobile radio cellular systems, nonlinear programming resource (source of wealth) management. I.

Research paper thumbnail of Removal of Baseline wander and detection of QRS complex using wavelets

— ECG signals are used to detect the heart rate and heart abnormalities. For extraction of ECG fe... more — ECG signals are used to detect the heart rate and heart abnormalities. For extraction of ECG features and detection of QRS complexes it is required to remove baseline wander and minimize the noise interference. In this paper we proposed a technique to remove baseline wander using Kaiser Windowing filter and wavelet transform, among which wavelet is most powerful and effective tool for analyzing transient signal. The algorithm is developed in matlab with standard CSEECG database.

Research paper thumbnail of R — Peak detection using Bayesian regularization neural network

2017 International Conference on Information, Communication, Instrumentation and Control (ICICIC), 2017

This paper gives a new approach for a automatically detect the R peaks of ECG signal, for which R... more This paper gives a new approach for a automatically detect the R peaks of ECG signal, for which R peaks detection baseline wonder is removed to minimize the noise interference. We use Kaiser Windowing technique and automated Bayesian regularization neural network to learn the characteristics of QRS complex to detect R peaks. This algorithm detection performance is high with the sensitivity is 98.6% and positive Predictivity 98.64%.