Begell House
Telecommunications and Radio Engineering
Telecommunications and Radio Engineering
0040-2508
56
4-5
2001
Preface
This special issue of "Telecommunication and Radio Engineering" is composed of the works presented at the First International Workshop on Mathematical Modeling of Physical Processes in Inhomogeneous Media (20-22 March 2001, Guanajuato, Mexico). These reports were mainly dedicated to problems of modeling in information and signal processing, mathematical physics, and modeling for emerging techniques and instrumentation. Among new interesting methods used for solving the aforementioned problems one must note techniques based on R-functions, atomic functions, wavelet approximation, and fractals. Thus, atomic functions, as infinitely differentiable compactly supported solutions to functional-differential equations, possess good approximation properties. The R-function method (RFM) was developed for solving the inverse problem of analytical geometry. For a long time it was used mainly in boundary value problems for complex-shaped domains. However, in combination with atomic functions, the RFM allows us to construct multidimensional weighting windows with arbitrary apertures. Here, we say nothing about the fractals and wavelet techniques. Now they are well known and have a very wide scope of applications. New non-classic mathematical tools provide accurate and convenient approaches for solving different complex problems of modeling such as signal processing on the base of window functions, integral equations (including ill-posed ones), adaptive filtering, remote sensing, antenna analysis and synthesis, digital radar, signal coding and compression, internal and external electrodynamic problems, acousto-optics, etc. Both mathematical and physical aspects of problems are considered. Hope that presented works will give the power impulse for development and investigation of new methods for mathematical modeling of physical processes. This issue will be useful both for mathematicians and for engineers. New ideas and results may find applications in solving other classes of theoretical and practical problems.
1
R-Functions and Atomic Functions in Problems of Digital Processing of Multivariate Signals
The problems of the construction of new classes of multidimensional weighting windows on the base of R-functions and atomic functions are considered. Examples of synthesis of FIR-filters based on the new windows are presented. Results of numerical experiments prove the efficiency of the novel approach.
Miklhail Alekseevich
Basarab
Bauman Moscow Slate Technical University, Russia
Victor Filippovich
Kravchenko
Kotelnikov Institute of Radio Engineering and Electronics, Russian Academy of Sciences, 11-7, Mokhovaya St., Moscow 125009, Russia; Bauman Moscow State Technical University, 5, Vtoraya Baumanskaya St., Moscow 105005 Russia; Scientific and Technological Center of Unique Instrumentation, Russian Academy of Sciences, 15, Butlerova St., Moscow 117342, Russia
41
Quaternionic Diagonalization of Maxwell's Equations
In this work, we present the idea of quaternionic diagonalization of the Maxwell system and show some of its possible applications in the case of homogeneous media, chiral media, and slowly changing inhomogeneous media.
Vladislav V.
Kravchenko
Rostov State University, Russia; and Dept. of Telecommunications of the Higher School of Mechanical and Electrical Engineering, National Polytechnic Institute, Mexico City
8
Quaternionic Integral Representations for Electromagnetic Fields in Chiral Media
The purpose of this paper is to present some new integral representations for the solutions of Maxwell's equations in chiral media. The integral representations are obtained with the aid of recently developed methods of quaternionic analysis.
Kira V.
Khmelnytskaya
Odessa State University, Ukraine; Associate Professor of the Higher School of Mechanical and Electrical Engineering, National Polytechnic Institute, Mexico City
Vladislav V.
Kravchenko
Rostov State University, Russia; and Dept. of Telecommunications of the Higher School of Mechanical and Electrical Engineering, National Polytechnic Institute, Mexico City
Hector
Oviedo
National Polytechnic Institute, Mexico City
9
The Development of the Invariant Algorithms of Coherent Accumulation of Useful Signals with Unknown Doppler Frequency
The optimal detection/estimation algorithms require large computing expenditures in the radar, sonar and etc. The paper presents the new Uniformly Most Powerful Test for matched detecting of the symmetrical signal subspace. The general (logical) shift operators group is used for describing of the symmetry. This algorithm may be used to reduce the complexity of matched detector for unknown signal subspace and for signal processing in real time. The reduction brings appreciable hardware gains and a small performance penalties in some interesting cases. We used the new methodology for creation of the sub-optimal detector for some symmetrical subspace signal model. The analytical expression for the detector performance loss is obtained by for some signal subspace.
Victor
Golikov
Universidad Autonoma del Carmen,Ciudad del Carmen, Campeche, Mexico
Olga
Lebedeva
Universidad Autonoma del Carmen, Ciudad del Carmen, Campeche, Mexico
Jose Luis
Orta
Director of Department of Universidad Autonoma del Carmen, Ciudad del Carmen, Campeche, Mexico
8
Implementation of the Robust RM-Estimators with Different Influence Functions in the RM-KNN Filter
In this paper, we present the implementation of the robust RM-estimators with different influence functions such as the cut median and Hampel functions. These functions in the RM algorithms provide the preservation of fine details, impulsive noise removal and multiplicative noise suppression. They demonstrated better robustness in comparison with the simplest cut function. The cut median and Hampel functions were implemented in the RM-KNN filter that is a good tool for preservation of fine details and suppression of noise. The deterministic and statistical properties of the designed filters have been investigated. The optimal parameters of these filters for different noise mixture are presented. The real time implementation by means of use DSP TMS320C6701 demonstrated that the time of processing in the case of use of the simplest cut function is less in comparison with the cut median and Hampel influence functions, but noise suppression is better when cut median or Hampel functions were applied.
Francisco Javier
Gallegos-Funes
National Polytechnic Institute of Mexico, Mexico
Volodymyr
Ponomaryov
Instituto Politécnico Nacional, Mexico-city, Mexico
Luis
Nino-de-Rivera
SEPI ESIME Culhuacan, National Polytechnic Institute (IPN), Av. Santa Ana No. 1000, C.P. 04430 Mexico D.F. MEXICO
Ricardo
Peralta-Fabi
UNAM, Mexico
10
Solar Module Power Capture and Transference Electronic System
In this paper we present a technique to capture the maximum power of solar module (SM) and its transference to battery. The electronic circuit is designed for capturing and transforming the power. This circuit adapts the voltage with low power level when voltage battery automotive of 12 a 16 Volts. This technique captures and converts with maximum power circuit and power transference electronic design. This circuit uses an inductor, an electronic switch, a blockade diode and electrolytic capacitor connected to solar module basically. The electronic circuit processes the current and voltage of the maximum power and controls the transference electronic circuit. This technique and electronic circuit optimize the use of electrical energy supply by the solar module.
Jaime
Vega-Perez
Science Methodology from National Polytechnic Institute of Mexico; and same Institute in the area of Communications and Electronics
Volodymyr
Ponomaryov
Instituto Politécnico Nacional, Mexico-city, Mexico
Luis
Nino-de-Rivera
SEPI ESIME Culhuacan, National Polytechnic Institute (IPN), Av. Santa Ana No. 1000, C.P. 04430 Mexico D.F. MEXICO
8
Long-Term Storage Telemetry Digital System
We develop hardware and software for a long-term storage telemetry digital system. The system can be used for storing digitally in PCMCIA ATA flash memory card 33 analog channel data during several hours at low sample rate. The system is a portable unit powered by battery and contains 33 analog to digital converter, C/C++ programmable micro controller and PCMCIA memory. The proposed system could be reinstalled for up to 66 channels. The implemented unit is lightweight (about 1 pound). The unit records, converts, and stores the electric signals from sensors during the equipment operation. Some time after the flash memory will be downloaded at a commercial PC or a portable computer in a laboratory for diagnostic purposes. To optimize the memory available we used the compression technique based in wavelet functions.
Leonardo
Badillo
Degree in electrical engineering from National Polytechnic Institute of Mexico, same institute in the area of communications and electronics
Volodymyr
Ponomaryov
Instituto Politécnico Nacional, Mexico-city, Mexico
Walter
Fonseca-Araujo
Cristina
Juarez
National Polytechnic Institute of Mexico
Jose Luis
Sanchez
National Polytechnic Institute of Mexico
9
Imaging with Passive Sensing systems Part 1: Experiment Design-Based Approach
An experiment design-based approach to the problem of formation of high-resolution images from the remotely sensed data in passive monitoring systems is addressed. We unify several seemingly disparate approaches to passive sensing with sensor system fusion through the introduction of the concept of two-stage experiment design (ED) and regularization theory-based treatment of the passive sensing problems: (1) image formation with employing the ED considerations; (2) image improvement/ restoration via system and/or method fusion. At the image formation stage, which is the purpose of out study in this paper, we propose the unified ED-based regularization method that assumes no prior knowledge about the image model but exploits the variety of ED "degrees of freedom". ED-based generalization of the basic imaging algorithms for passive remote sensing systems is presented and discussed.
Yuriy V.
Shkvarko
Visiting professor in the FIMEE, University of Guanajuato, Mexico
15
Imaging with Passive Sensing Systems Part 2: Sensor and Method Fusion
A combined experiment design and neural network-based approach to the problem of fusing the data of passive monitoring systems with different platforms of sensors is addressed. The two-stage imaging problem treatment is considered: (1) ED-based image formation; (2) image improvement/restoration via system or method fusion. Maximum entropy (ME) a priori image model is incorporated and two aggregation approaches, which incorporate model, measurements and calibration data, are developed. Computationally, the sensor and method fusion is implemented using the unified Hopfield maximum entropy neural network architecture. The results are illustrated by simulation examples.
Yuriy V.
Shkvarko
Visiting professor in the FIMEE, University of Guanajuato, Mexico
Rene
Jaime-Rivas
Head of FIMEE at the University of Guanajuato, 36730 Salamanca, Gto. Mexico
Oscar G.
Ibarra-Manzano
Guanajuato University, FIMEE, 36730, Salamanca, Gto, Mexico
Victor
Ayala-Ramirez
Universidad de Guanajuato FIMEE, Tampico 912, Colonia Bellavista, Salamanca, Guanajuato, 36730 MEXICO
Jose A.
Andrade-Lucio
Facultad de Ingenieria Mecánica, Eléctrica y Electrónica, Universidad de Guanajuato. A.P. 215-A, 36730. Salamanca, Gto., México
15
Measurement and Data Acquisition System for Pipelines Plan Reconstruction
This article deals with investigation of the recording system of parameters for pipelines plan reconstraction. The description of the "PIG" system structure is given. The blocks diagram of measurement and data acquisition system is presented. The blocks diagram for making a pipeline digital map is given. Different stages, such as formation of datum group, data interpolation, establishment and distribution, filtration, change of dimensions, integration of "PIG" movement parameter are submitted. For the increasing of the precision and the authenticity of the measures is used the algorithmic redundancy.
Igor
Bulgakov
Sergiy
Sadovnychiy
7
Non-Classical Diffusion Boxes Using the Golden Binary Self-Similar Sequence
In this paper the realization of a diffusion box(D-box) is shown using the self-similar sequences, which are built through silver numbers and the Steinhardt method. In particular, this realization is based in the Golden Binary Self-Similar Sequence (GB-Sequence). The diffusion using this technique is also compared against those using the DES (Data Encryption Standard) expansion permutation (EP-DES) box and against ideal diffusion. In this comparation the autocorrelation and error function are calculated. Also the probability function to self-similar sequences is compared with those to equiprobable sequences. In this way, we want to show that the dispersion boxes using autosimilar sequences can be used in complicated encryption algorithms.
Ruben
Vazquez-Medina
Hector Manuel
Perez-Meana
National Polytechnic Institute of Mexico
Jose Luis
Del-Rio-Correa
Universidad Autonoma Metropolitana Unidad Iztapalapa Av. Purisima y Michoacan s/n Col. Vicentina, Mexico D.F., C.P. 09340
16
Neurofuzzy Algorithm For Channel Equalization
In this paper a channel equalization method using a neurofuzzy algorithm is proposed, which is based on the SAM (Standard Additive Model) method, employed in Fuzzy Logic for functions approach by using a set of rules if-then. A comparison of the efficiency of the proposed algorithm with those existent, such as the transversal equaliser using LMS, RLS adaptation algorithms, as well as the decision feedback equalizer DFE, is made with similar conditions. The computer simulations show that proposed provides a better performance of in the reduction of the intersymbol interference (ISI) in comparison with traditional algorithms in nonlinear channels.
Jose Ambrosio
Bastian
The National Polytechnic Institute of Mexico
Mariko Nakano
Miyatake
Graduate School The National Polytechnic Institute of Mexico
Hector Manuel
Perez-Meana
National Polytechnic Institute of Mexico
10
Adaptive Filtering Based on Subband Decomposition
One important approach to reduce the computational complexity of adaptive filters is that based on subband decomposition, in which the input signals are represented in terms of a set of N near orthogonal signal components using an orthogonal transformation. This is because the representation allows processing schemes in which each of these orthogonal signal components are independently processed. In this paper we present FIR and IIR adaptive filter structures based on subband decomposition in which the input signals are splite in a set of decomposition in which the input signals are split in a set of orthogonal signal components. A reduced order adaptive filter is then inserted in each subband, whose coefficients are independently updated. The computer simulation results show that the both types of subband adaptive filter structures reduce computational complexity considerably, and have fairly good convergence property.
Hector Manuel
Perez-Meana
National Polytechnic Institute of Mexico
Mariko Nakano
Miyatake
Graduate School The National Polytechnic Institute of Mexico
Luis
Nino-de-Rivera
SEPI ESIME Culhuacan, National Polytechnic Institute (IPN), Av. Santa Ana No. 1000, C.P. 04430 Mexico D.F. MEXICO
14
Superficial Adaptation Method for Stack Filters Design
This paper presents a theoretical review of STACK FILTERS theory in the digital image processing field, and proposed a new approach which improves the adaptation process commonly used in traditional STACK FILTER, which needs so many computation power in order to reach the optimal filter. The surface adaptation method proposed overcomes this situation by reducing the number of operations performed to reach the same optimal filter. Computer simulation results are given which show the desirable features of proposed approach.
Mario
Gonzalez-Lee
Technological University of Mexico, Mexico
Mariko Nakano
Miyatake
Graduate School The National Polytechnic Institute of Mexico
Hector Manuel
Perez-Meana
National Polytechnic Institute of Mexico
12
Self Similar Sequences: Spread Spectrum Application in the WLAN
In this paper, we propose the QSSS (Quasicrystal Spread Spectrum Signal) algorithm, which is based on self-similar sequences obtained of the structure of one dimensional quasicrystal. QSSS is proposed as a protection of the information on the communication channels of the Wireless Local Area Networks (WLAN), due to its useful features to reach confidenciality and sinchronization between wireless stations.
In present-day WLAN are used the Barker sequences, which have ideal features to sinchronization process. QSSS is applied to spread spectrum at the data source and it is based in the direct sequence method however, a self-similar sequence is used instead of a Barker one.
Ruben
Vazquez-Medina
Jose Luis
Del-Rio-Correa
Universidad Autonoma Metropolitana Unidad Iztapalapa Av. Purisima y Michoacan s/n Col. Vicentina, Mexico D.F., C.P. 09340
Gonzalo
Duchen-Sanchez
SEPIESIME Culhuacan, National Polytechnic Institute (IPN) Av. Santa Ana No. 1000, C.P. 04430 Mexico D.F. MEXICO
Oreste
Tellez A.
Postgraduate and Research School ESIME Culhuacan, IPN Av. Santa Ana WOO,Col. San Francisco Culhuacan, Mexico D.F., C.P. 04430
10
The Application of the Permutation Filters for Adaptive Digital Quadratic Detector
This paper proposes a method to reduce the computational complexity of the optimal digital quadratic detector, which is the optimal Neyman-Pearson detector for detecting a colored Gaussian random target signal against colored Gaussian distributed noise. The covariance matrices of the colored noise are unknown. We also presents fully adaptive detector and it exhibits an acceptable loss with respect to previously proposed adaptive detector. This detector has been constructed by replacing the covariant matrices on the appropriate block-circulant matrices in the likelihood ratio for example dyadic matrices. The performance comparison between the classical adaptive approach and the adaptive approach proposed by the authors carried out in terms of probability of detection as a function of the signal to noise ratio for a fixed probability of false alarm and in term of computational complexity.
Victor
Golikov
Universidad Autonoma del Carmen,Ciudad del Carmen, Campeche, Mexico
Olga
Lebedeva
Universidad Autonoma del Carmen, Ciudad del Carmen, Campeche, Mexico
Jose Luis
Orta
Director of Department of Universidad Autonoma del Carmen, Ciudad del Carmen, Campeche, Mexico
6
Modern Technology for High Precision Parabolic Satellite Antennas
The submitted in the present article results are devoted to improvement of technological manufacturing processes for high precision parabolic antenna production, which are used for satellite communication and TV. They include peculiarities of external optimal impulsive loading calculations and the technology realization for different size parabolic antennas. The new technology is based on using the impulsive sources of energy as high explosives.
Volodymyr P.
Sabelkin
8