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.
The vision of a software defined radio (SDR) is to implement in different software systems of communications using the same hardware platform. An advanced SDR system consists of two fundamental components: a programmable RF component and another reconfigurable FPGA-based component in charge of performing high-speed signal processing. Since the sampling rate of the ADC and DAC converters is generally...
We present a method for joint robust design of linear source and relay filters in a MIMO full-duplex link that supports the transmission of several data streams. The system model accounts for self-interference in the relay, limited dynamic range at the transmit and receive sides of the nodes as well as channel uncertainty. The design criterion is to minimize the worst-case mean square error at the...
In this paper, a full-duplex (FD) amplify-and-forward (AF) transmitter cooperative communication scheme is proposed for multiple access channel (MAC). In particular, two FD transmitters simultaneously transmit information to a common receiver and help each other's transmissions with the AF relaying scheme. By considering the accumulation of the residual self-interference and additive noise (RIAN)...
In this paper we analyze the performance of a full-duplex relay system in the presence of residual self-interference (SI) and frequency-selective fading. In particular, the residual SI channel estimation performance is evaluated both analytically and via simulation. The bit error rate (BER) performance at the destination is also characterized via simulation. Two schemes are considered for the equalization...
Finding a common point of multiple closed sets in a real Hilbert space has been an important task in a wide range of signal processing. In this paper, we study asymptotic properties of the parallel projection method (PPM) for closed sets satisfying a special feasibility condition, which holds in the context of certain sparse signal processing. Our analysis guarantees that the cluster point set of...
The paper presents an original approach of designing analog signal processing circuits, based on the re-using of the same functional core for implementing a multitude of circuit functions: signal gain with theoretical null distortions, signal squaring, voltage multiplying with very good linearity and simulation of a perfect linear resistor with both positive and negative equivalent resistance. The...
The brain tumor CT image segmentation frequently suffers from the fuzzy edges, and manual segmentation mainly relies on doctor's clinical experience. For the purpose to accurately segment brain tumor, a method for brain tumor CT image segmentation based on SLIC0 superpixels is proposed. Firstly, the simple linear iterative clustering version with 0 (SLIC0) is employed to generate superpixels; Secondly,...
We consider an energy harvesting cooperative multiple access channel (MAC) with decoding costs. In this setting, users cooperate at the physical layer (data cooperation) in order to increase the achievable rates. Data cooperation comes at the expense of decoding costs: each user spends some amount of its harvested energy to decode the message of the other user, before forwarding both messages to the...
In order to realize the rapid deployment of indoor localization systems, the crowdsourcing method has been proposed to reduce the collection workload. However, compared to conventional methods, the reduced number of received signal strength (RSS) values lends greater influence to noises and erroneous measurements in RSS values. In this paper, a graph-based semi-supervised learning (G-SSL) method is...
In this paper, we propose a novel voxel-based method for joint estimation of underlying activity signal and hemodynamic response function (HRF) in functional magnetic resonance imaging (fMRI). In the proposed two stage iterative framework, fused-least absolute shrinkage and selection operator (Fused LASSO) penalty is utilized for activity detection and HRF estimation. Conditions of smoothness and...
This paper presents a novel programmable biquadratic filter structure using a network of operational transconductance amplifier(OTA). A new hierarchical design methodology of programmable higher order analog filter using the proposed biquadratic function as the basic building block has been discussed. The proposed biquadratic structure offers multifunction property, better programmability, low sensitivity...
The aim of this paper is to consider a modification of a block coordinate gradient projection method with Armijo linesearch along the descent direction in which the projection on the feasible set is performed according to a variable non Euclidean metric. The stationarity of the limit points of the resulting scheme has recently been proved under some general assumptions on the generalized gradient...
In this paper, we propose to improve a Cooperative Automatic Repeat reQuest (C-ARQ) scheme through the optimization of the distribution of the average relay energy cost in a two sources one destination wireless system. We consider a BPSK modulated transmission over Rayleigh fading channels. We propose to use specific relay and destination treatment for different possible cases: both received packets...
We propose a new Givens rotation based least-squares lattice algorithm. Based on spherical trigonometry principles, this algorithm turns out to be a normalized version of the fast QRD-based least-squares lattice filter, introduced independently by Ling and Proudler et al. In constrast to those algorithms, the storage requirements of the new algorithm are minimal (in the system theory sense). From...
The Minimum Description Length (MDL) principle led to various expressions of the stochastic complexity (SC), and the most recent one is given by the negative logarithm of the Normalized Maximum Likelihood (NML). For better understanding the properties of the newest SC-formula, we relate it to the well-known Generalized Likelihood Ratio Test (GLRT). Additionally, we compare the SC with the Bayesian...
This paper is a continuation of our former work [1-2]. In this paper, injected AC current and Giant Magneto-Resistance (GMR) sensor were used to detect small defects in the order of few hundred micrometers in thin layers using two connectors and detecting the perturbation of the magnetic field due to a defect using a GMR sensor. A sample of silicon wafer with copper metallization of few micrometers...
Collaborative filtering (CF) is widely used in recommendation systems. A user can get good recommendations only when both the user himself/herself and other users actively participate, i.e. providing sufficient rating data. However, due to the rating cost, rational users tend to provide as few ratings as possible. Therefore, there exists a trade-off between the rating cost and recommendation quality...
Various wireless networks have made the ambient radio frequency signals around the world. Wireless information and power transfer (WIPT) enables the devices to recycle energy from these ambient radio frequency signals and process information simultaneously. In this paper, we develop a WIPT protocol in two-way amplify-and-forward relaying channels, where two sources exchange information via an energy...
Asset prices fluctuate up and down chaotically. Traders, investors and fund managers comb the chaos for exploitable patterns with methods such as moving averages from the realm of technical analysis. In this paper we focus on linear moving averages which aim to smooth asset prices removing fluctuations. First, we will develop a method to measure the smoothness for a linear filter. We will also discuss...
Feature extraction of music signals are often required in applications including; identification and classification of music files over the web or a database. The feature observations for different classes are expected to be distict, and also their computationally efficient implementations to be available. This is necessary both for offline and real time data processing. It is currently an active...
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.