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This paper deals with the results on the reconstruction accuracy of the irregularly sampled discrete-time signal (DTS) with unknown sampling locations. Reconstruction is performed by means of special reconstruction algorithms based on the sampling locations estimation. Comparison is done for results of estimation of the algorithms accuracy and accuracy of signal reconstruction by means of interpolation...
This paper deals with the results on the reconstruction accuracy of the irregularly sampled discrete-time signal (DTS) with unknown sampling locations. Reconstruction is performed by means of special reconstruction algorithms based on the DTS values correction. The first algorithm is drawn on applying of the non-recursive smoothing filter (NRSF). The second algorithm is based on the local least squares...
We introduce the fast digital algorithms for the coherent demodulation of binary and four position differential phase-shift keyed signals. These algorithms can be practically implemented with the minimum number of simple arithmetic operations over the input signal period and they are is fully compatible with the modern hardware components available. We obtain the timing diagrams of the demodulators...
Beamforming techniques are becoming popular in a wide spectrum of applications thanks to their promising performance. We consider applying the minimum variance distortionless response (MVDR) beamformer in a dynamic scenario, where the desired speaker, the noise components or microphone array may move. The generalized sidelobe canceler (GSC) structure offers a convenient implementation of the MVDR,...
Aim of this paper is to find out shortest path navigation route to reach nearest required location. With increasing development in society the structure of the road networks are more complicated and finding the shortest path in such network is difficult one. Some situations where we need quick response and shorter path to reach to the destination. In emergency situation selecting a wrong path may...
In this paper, we aim to improve the overall performance of kernel adaptive filters by adaptively combining several component filters with different parameters setting in the practical applications. The convex combination scheme is exploited to incorporate any two parallel diversity branches which could be the component filter or the output of previous combination layer. The proposed convex combination...
This paper proposes a novel method of tracing dynamic objects for indoor mobile robot by fusing visual features. The proposed tracking algorithm is a kind of improved CAMSHIFT algorithm combined with SURF, optical flow and ultra-sonic data, to enhance the tracking capability. Since CAMSHIFT algorithm is based HSV color space model, it is weak on strong lighting, abrupt change of light and fast-moving...
Within the framework of this article the authors aim at showing complexity of transition to the processes of discrete control. The article points out the risks of loss of linear and stationary properties, as well as, the sources of errors of an initial model transformation. It is stated, that it necessitates correction of the control algorithms. The conclusion is made, that creation of theoretical...
Wireless SAW resonant sensors have been widely used in many applications, especially in harsh environment. The sensor is detected when the echo signal spectrum processed by Fourier transform exceeds a threshold. Because of complicated noise and electromagnetic interference in wireless channel, the threshold should be adaptive to interference in order to detect the sensor accurately. However, few researches...
This paper presents the computational procedure of the most generalized version of the stabilized fast Recursive Least Squares (RLS) adaptive filtering algorithm. It is considered the algorithm for the adaptive filters with an unequal number of weights in channels. The using of the sliding window and dynamic regularization, when the correlation matrix is estimated, allows the algorithm to process...
A recursive algorithm is proposed for identification single-input-single-output bilinear dynamic systems with output-error. The estimates are proved to be convergent to the true values almost surely (a.s.). The results of a simulated example show that the accuracy of the proposed algorithm is higher than that of recursive least square and recursive extended instrumental variables algorithms.
Sampling from multi-dimensional and complex distributions is still a challenging issue for the signal processing community. In this research area, Hamiltonian Monte Carlo (HMC) schemes have been proposed several years ago, using the target distribution geometry to perform efficient sampling. More recently, a non-smooth HMC (ns-HMC) scheme has been proposed to generalize HMC for distributions having...
Unmixing is a ubiquitous task in hyperspectral image analysis which consists in jointly extracting typical spectral signatures and estimating their respective proportions in the voxels, providing an explicit spatial mapping of these elementary signatures over the observed scene. Inspired by this approach, this paper aims at proposing a new framework for analyzing dynamic positron emission tomography...
Particle Swarm Optimization (PSO) has been widely used in the reactive power optimization of distribution networks, and the basic PSO algorithm takes too long time to solve the reactive power optimization problem of low voltage distribution network with multiple constraints. To solve this problem, a scheme of reactive power optimization for low-voltage distribution network using improved particle...
The present paper deals with online convex optimization involving adversarial loss functions and adversarial constraints, where the constraints are revealed after making decisions, and can be tolerable to instantaneous violations but must be satisfied in the long term. Performance of an online algorithm in this setting is assessed by: i) the difference of its losses relative to the best dynamic solution...
At present, radio frequency identification technology has been widely used in many fields, such as data acquisition, transportation, logistics management and so on. However, the collision problem in RFID technology seriously affects the performance of RFID system. Aimed at the shortcomings of search times and traffic by the traditional binary search algorithm, this paper propose an improved binary...
Graph filters, which are considered as the workhorses of graph signal analysis in the emerging field of signal processing on graphs, are useful for many applications such as distributed estimation in wireless sensor networks. Many of these tasks are based on basic distributed operators such as consensus, which are carried out by sensor devices under limited energy supply. To cope with the energy constraints,...
In recent years, Network Coding (NC)-based Cooperative Data Exchange (CDE) has effectively improved wireless network performance, especially in Vehicle-to-Vehicle (V2V) when vehicles have common data requirement. Also, wireless network is now able to support various time-critical applications such as video streaming. In time-critical applications, the delay of each packet should be within a certain...
We address a combinatorial optimization problem, namely the 1D array partitioning problem (1D-APP), having several real world applications such as scheduling independent tasks in parallel environments under contiguity constraint. We propose an exact binary search algorithm of pseudo-linearithmic complexity since the latter depends on the input data values. Our approach involves two phases. The first...
Multiple input multiple output (MIMO) and pre-coder are the effective methods to overcome the influence of the time-varying channel since it is a key factor of the communication performance. However, the existing researches of MIMO and pre-coder focus on the spectrum efficiency under the Gaussian input assumption. This drawback limits the pre-coder technology application in the green communication...
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