The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Compressive sensing (CS) is a rising field which have already overcome Nyquist rate. It enables sparse signal recovery with the help of efficient algorithms. It reduces memory requirements and cost of computation. Signal recovery is an important phase in reconstruction of sparse signal. In this paper a comparison is made between two reconstruction algorithms approximate message passing algorithm (AMP)...
Real Time Processor Scheduling with no preemption of tasks is a class NP-hard problem. We have attempted to get the best task allocation schedule for sporadic tasks, such that all the tasks are being scheduled without missing its deadline. Bat algorithm was proposed from the motivation behind the bat's echolocation behaviour. Bat Searches for the prey in the given search location once found it tries...
When there is only the mainlobe interference signal, the algorithm of mainlobe interference suppression based on eigen-projection matrix preprocessing (EMP) has stronger robustness than that based on blocking matrix preprocessing (BMP). However, when the mainlobe interference signal and sidelobe interference signal are simultaneously present and the mainlobe interference signal's power is close to...
In this paper authors have addressed the problems associated with blind adaptation technique used for channel equalization purposes. Blind adaptation techniques shows very poor convergence property in contrast to the supervised techniques which uses training sequences e.g. least mean square algorithm. Gradient descent based algorithm is one of the widely used blind adaptation schemes for equalization...
Electrocardiogram (ECG) is one testing method for measuring electrical activity of heart. ECG is the graphical representation of the electrical signal generated from heart. Heart is an organ of human which pump blood for the entire body. It require huge amount of data to store and transmit these ECG signals. So it is necessary for compression of the ECG signals. In few last years, many algorithms...
Internet playing most efficient part in today's interchangeable infrastructure but it has been observed that IP networks affected with common network failures which cause the cautious concurrence of routing protocols after network failures, whereas several of the proposals available with high network availability regardless of failures, but existing proposals actively handle only single failure and...
In this paper, a Fast and Efficient Variable Block Size Motion Estimation algorithm is proposed for high computational video compression. Variable block size Motion Estimation algorithm decomposes each 16×16 block into 16×16, 16×8, 8×16, 8×8, 8×4, 4×8, 4×4 subsequent blocks and searches for optimum Motion Vector. Without searching for optimum motion vector in these all 7 blocks, here the proposed...
This paper proposes an accurate and efficient strategy for identification of Hammerstein model based nonlinear systems using Craziness based Particle Swarm Optimization (CRPSO) algorithm. The closeness of estimation of the proposed CRPSO based identification scheme has been justified with the optimal value of MSE and the corresponding comparative study with the other techniques reported in earlier...
Clustering is applied to many applications and the decision with regards to which algorithm to use is dependent on the nature of the task to be carried out. Before choosing which clustering algorithm to use one needs to be aware of the nature of the task to be done and then determine the algorithm accordingly, based on the capabilities and performance metrics of that algorithm. This paper makes an...
Motion blur is actually sprinkling of images, which is caused due to the relative motion of camera and scene objects, while capturing the images with long exposure time. Blurring will significantly diminish the visual quality of images. One of the solutions to reduce the blurring effect is to try to remove the blur offline. Among the deblurring processes, the estimation of blur kernel is considered...
In order to familiarize and comprehend the learning of Huffman algorithm in a simpler way, we have implemented Huffman algorithm in Julia language which can be visualized in an interactive platform called IJulia supported by Jupyter and it creates a learning platform that increases the understanding of the coding technique for students. It involves a set of commands that are understandable and familiar...
Electrocardiography plays a vital role in detection and diagnosis of the heart diseases. In this piece of work, we have developed a new thresholding technique based on the maximum and minimum values of ECG signal. The initial threshold is calculated from the RMS values of the transformed signal, whereas the threshold is made to decrease with an adaptively calculated step size. The simulation results...
Low density parity check codes nowadays use in modern system due to their excellent performance. There are different message passing algorithm for LDPC codes to decode. In this paper, we have mention bit flip algorithm in brief and gave its bit error performance over AWGN channel via simulation result. For this communication, we use BPSK i.e. Binary phase shift keying digital modulation technique...
This paper presents the Maximum Power Point Tracking (MPPT) controller for solving partial shading problems in photovoltaic (PV) systems using Equilibration algorithm. The energy produced by the PV modules depends on the irradiation and temperature. Thus the changing environment creates a necessity to identify the point for every instant on the V-I characteristics of the PV generator in which there...
Cryptography is a method of sending the data to the receiver in a secured manner. This method is used for transferring secured data in various fields like medical, research, hospitals, industrial sites, military applications etc. A Cryptographic attack exists, when the security of cryptosystem gets collapsed. In order to protect the cryptosystem from attack, an attack tolerant method is required....
Landslides are one of the major natural disasters and an early detection of landslide can be achieved by identifying the landslide triggering vibrations recorded using a geophone network. The major research challenges in this effort are network energy consumption, noise removal and development of a wireless network for transmitting the captured signals. This paper presents design and testing of a...
This paper aims at creating an affordable fECG extractor by simplifying the process of fECG extraction from abdECG. Even though invasive fECG extraction is more accurate, noninvasive method of extraction has been preferred during prenatal considering the fetus's health. This makes the noninvasive fECG extraction an emerging and required field of research. This paper gives a fundamental idea to create...
The challenges for today's wireless communication technology are increased data rates, channel capacity and spectrum efficiency with reduced interference. The adaptive antenna array is capable of adapting to the varying signal environments automatically and forms beams in the directions of the desired signals by steering nulls in the directions of interfering signals. Therefore smart antenna is the...
This paper presents an efficient approach for identification of fourth order nonlinear polynomial Hammerstein models using simplex particle swarm optimization (Simplex-PSO) algorithm. The accuracy of the proposed Simplex PSO based identification scheme has been justified with the optimal value of MSE and the corresponding comparative study with the other reported approaches. The statistical information...
This paper presents an efficient approach for identification of a nonlinear Hammerstein model using Bacteria Foraging Optimization (BFO) Algorithm. The accuracy and the efficiency of the proposed BFO based identification scheme have been justified with the optimal value of MSE and the corresponding comparative statistical information. The statistical information of the MSE has also been provided to...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.