Amanjot Singh ¹, Himani Sharma ¹, Manpreet Kaur ¹

Affiliations
1 School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara, Punjab – 144411, IN

Abstract

Objectives: In this paper encoding techniques used in the Digital Video Broadcasting-Terrestrial (DVB-T) system have been discussed. The paper focuses upon the comparison between the different types of encodings as a part of the DVB-T standard. Methods/Analysis: Different types of encoding methods which could be the part of the DVB-T standard have been considered .The system used is able to measure and analyze the performance by using different encoding techniques along with the Orthogonal Frequency-Division Multiplexing (OFDM). Findings: DVB-T was developed by the Digital Video Broadcasting (DVB) Project that was basically for broadcasting. The compressed images, digital audio, compressed videos and other forms of data in Moving Picture Expert Group (MPEG) transport stream, through OFDM modulation is transmitted by this DVB-T system. Novelty /Improvement: In the DVB-T Reed Solomon encoding is used to encrypt the data. Hybrid coding has been proposed as the way to improve the performance.

Keywords

Convolution Encoding, Digital Video Broadcasting- Terrestrial (DVB-T), OFDM, Rs Coding.

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Harpreet Bedi ¹, Manpreet Kaur ¹, R.K. Sharma ¹, Pankaj Verma ¹

Affiliations
1 Department of ECE, Lovely Professional University, Phagwara − 144402, Jalandhar, Punjab, IN

Abstract

In the present Investigation we have used sol-gel and spin coating method to synthesize zinc oxide Nano particles having modified parameters with a comprehensive overview of their structural and experimental study. To evaluate its electrical, structural and optical properties as synthesized particles were analyzed by X-Ray Diffraction (XRD), UV spectroscopy and Particle size analysis. These crystalline size nano particles were utilized in sensors to detect volatile organic compound (Ethanol, Methanol and Formaldehyde) and was found to have high sensitivity and quick response time. In this paper we increase the overall band gap with the increase in concentration of aluminum and at the same time electrical conductivity of ZnO is also changed with the concentration of aluminum.

Keywords

Sol-Gel Method, ZnO2 Nano Particles.

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Manpreet Kaur ¹, Navjot Kaur ¹

Affiliations
1 School of Electronics & Electrical Engineering, Lovely Professional University, Phagwara − 144402, Jalandhar, Punjab, IN

Abstract

Multiple Input Multiple Output (MIMO) low complexity receiver which utilizes the compressive sensing detection for Spatial Modulation in large scale MIMO system in order to reduce the system complexity. In conventional MIMO system; huge amount of antennas is used at both ends to exploit the multipath propagation. This system maximizes the throughput performance and data rates are increased but only at the cost of high hardware complexity and increased power-consumption. Spatial Modulation Matching Pursuit (SMMP) is the proposed enhanced CS technique used for the improvement of detection performance. Hence, this paper reviews recent research findings concerning normalized Compressive Sensing (CS) detection algorithm, used for Spatial Modulation (SM) in massive MIMO, to lowers the signal processing complexity, which in result improves the energy efficiency of system against that of conventional MIMO system.This strategy is achieved by involving additional structures and sparsity in which a single transmitter antenna or a subset of it is turned on at each case to transmit a certain data. The subset of antenna which is turned on for transmission depends on approaching data bits. Therefore, the total increase in the spectral efficiency of the system is given as base-two logarithm of whole antennas at the transmitter. It reduces the signal processing load at base station and doesn’t depend upon any synchronization between transmitters. The Spatial Modulation Matching Pursuit used prevents the Inter Channel Interference (ICI) of the system which in result improves the Bit Error Rate (BER) performance than the typical MIMO system.

Keywords

Compressive Sensing, Energy Efficiency, Large-Scale MIMO, Spatial Modulation.

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Manpreet Kaur ¹, Neelam Rup Prakash ², Parveen Kalra ¹

Affiliations
1 Department of Centre of Excellence (Industrial & Product Design), PEC University of Technology, Sector-12, Chandigarh - 160012, IN
2 Electronics and Communication Engineering Department, PEC University of Technology, Sector-12, Chandigarh – 160012, IN

Abstract

Objectives: To study the different seizure detection techniques and find an efficient technique which results in optimum output parameters in terms of sensitivity and specificity. Methods/Statistical Analysis: Different seizure detection techniques were studied to find the efficient technique for early seizure detection. Past researches extracted different features from raw Electroencephalogram (EEG) signals. Features like time domain and frequency domain were extracted. Recently, wavelet parameters have been introduced which is the combination of time and frequency domain. For the classification, different classifiers like RNN, Artificial Neural Network, Modified Neural Network and Support Vector Machine were used. Findings: This review paper studies different types of seizure detection techniques. Development of early seizure detection techniques gains a major attention to provide an early alert to the epileptic patient. Different time domain, frequency domain and time-frequency domain features were extracted from the raw EEG signal. For the classification, different classifiers like RNN, Artificial Neural Network (ANN), Modified Neural Network and Support Vector Machine (SVM) were used. It was observed that the technique employing DT-CWT as a feature set and Support Vector Machine as a classifier resulted in maximum classification accuracy of 100% and 0 false alarm rate. So, from the findings, it is concluded that the combination of wavelet decomposition and a number of features extraction will improve the accuracy for early seizure detection in future. Application/Improvements: In future, the early seizure detection techniques can be used to provide an alert to the epileptic patient so that an effective diagnosis can be done before the occurrence of seizure onset.

Keywords

Daubechies Wavelet, Detection Techniques, Electroencephalogram, Osorio-Frei Algorithm and Seizure

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