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This paper considers the problem of dynamic support recovery for jointly sparse signals from underdetermined measurements. Unlike Multiple Measurement Vector (MMV) models that assume a fixed support for all time instances, we allow the support to vary temporally following a finite state Markov chain. Instead of using l1 minimization based algorithms, we cast the problem of dynamic support recovery...
Compressive sensing (CS) is a viable source of an innovative 5G system, what's more, it's an effective technology to deal with the data redundancy problem of massive machine-to-machine communication (MMC), since it enables the recovery of sparse and approximately sparse signals with significantly fewer samples than demanded by Nyquist-Shannon sampling theory. Interference in signal will lead a series...
Brain computer interface applications have big importance in becoming a bridge between the human brain and devices. The studies in this area increase every day with the use of different feature extractions and classification methods In this study, classification is done by Random Forest method using Data Set III presented in BCI Competiton 2003, and it has been shown that combining the Fast Walsh...
In this study, Electrooculogram (EOG) based Human-Machine Interface (HMI) application is proposed for partial or completely paralyzed and physically limited people as Amyotrophic Lateral Sclerosis (ALS) patients. In the designed system, EOG signals consisted of vertical and horizontal eye movements are detected by using 6 Ag-AgCl electrodes which placed around the eye. Then, by applying amplifying...
With the increased use of smart devices, digital cameras and abundance of memory in the devices, the pictures of the same scenes have been taken several times, resulting in a number of images consisting of the same or very similar content in memory. Manually selecting the good ones is time-consuming as well as error prone. In this paper, the features of the images in the data sets were extracted and...
In this paper, an evolutionary search approach is proposed for the bearing only target motion analysis problem. A problem spesific modification for the Big Bang-Big Crunch optimization algorithm, namely, Fitness Adaptive Big Bang-Big Crunch optimization algorithm is used as the evolutionary search method. The effectiveness of the proposed method is demonstrated by testing the algorithm in different...
An Android-based eModule app has been designed and developed for science, technology, engineering, and mathematics (STEM) education. The eModule consists of: (1) an Android demonstration of echolocation; (2) a set of notes describing the functionality of the app, the basics of echolocation, and its application to advanced signal processing systems such as RADAR, LIDAR, and SONAR; (3) quizzes to test...
Today there is a global need for engineers who are “DSP literate.” An obvious solution for supplying this need is to educate the next generation of DSP engineers. To do this, several powerful and highly versatile options are available. Real-time or quasi-real-time systems can be implemented using, for example, microprocessors, FPGAs, dedicated DSP hardware, general-purpose processors, graphical processing...
The ability to classify and identify the language being spoken is of immense value in a multi-lingual society like India. Spoken language identification is the process of identifying the language being spoken in an audio utterance. Spoken Indian language identification is an active research area because of the increased use of voice based self help systems being deployed by enterprises and government...
With the rapid development and deployment of M2M, Mesh, ad-hoc and other types of decentralized random wireless communication systems, there are more demands on powerful forward error correction codes (FEC) with short length recently. Due to its error correction (EC) capability, convolutional TUrbo code (CTC) with short length has been applied widely. In this paper, the distance spectrum (DS), which...
There are a variety of recipe recommendation methods based on user's preferences, nutrition balance, or user's health condition. However, there is little study on recipe recommendation considering flavor preferences of regional cuisines, which is helpful for a restaurant to plan on launching dishes from other regions, and to be well received by the local people. Therefore, we propose a method to recommend...
Many of the existing plant species on the earth are still unknown. There are different kinds of plant species and it has been subject of interest on how to identify their species. However, the current practice to identify and distinguish each species is heavily dependent on botanists. It is inefficient and wasteful of resources in terms of time and money. Moreover, our human sensory system's limitation...
Auscultation of the respiratory sounds is an inexpensive and effective method for diagnosing cardio-pulmonary disorders using lung sounds from chest and back. Nowadays, high system performances in the management of robust processes that require great attention were increased using the computer-aided analysis methods and the developments of the diagnosis system. Analysis of the respiratory sounds with...
Heat exchanger system is generally used in chemical plants as it can sustain wide range of temperature and pressure. Actual purpose of a heat exchanger system is to transfer heat from a hot fluid to a cooler fluid, so temperature control of outlet fluid is of primary concern. Controlling the temperature of outlet fluid of the heat exchanger system by a conventional PID controller can be done. For...
The goal of this paper is find the best design in terms of cost for analyzing the renewable energy sources available in a rural area of Jaisalmer district in Rajasthan, India considering the average hourly solar insolation and load profile of that location which will help the small village avail electricity. In this paper, the size of standalone PV system with battery energy storage are determined...
New technologies in communications electronics, such as software-defined radio (SDR) and RF switches implemented using radio frequency micro-electromagnetically systems (RF-MEMS), present new challenges and opportunities for micro strip antenna design. In sharp contrast to digital technology where Moore's law reigns, a fundamental law of physics constrains the ability to realize electrically small...
Orthogonal Frequency Division Multiplexing (OFDM) is a multi-carrier multiplexing technique used in many applications such as Wireless Local Area Network (WLAN), Digital Audio Broadcasting Terrestrial (DAB-T) and Long Term Evolution (LTE). It provides high efficiency and low data loss in multipath environment hence there is a need for suitable modulation technique. Different modulation techniques...
With the new emerging technologies and fast development of modern world it becomes essential to keep data secure. It is impossible to manage large amount of data with traditional processing applications and such large amount of data is termed as big Data. Variety, volume, velocity, value and veracity are the features of large amount of data. Debates on the usage of cloud still exist even though development...
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