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Electronics, Circuits and Systems, 2001. ICECS 2001. The 8th IEEE International Conference on

Date 2-5 Sept. 2001

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  • ICECS 2001. 8th IEEE International Conference on Electronics, Circuits and Systems (Cat. No.01EX483)

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    Freely Available from IEEE
  • An ultra high-speed compressor for packet networks

    Page(s): 1259 - 1263 vol.3
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (435 KB) |  | HTML iconHTML  

    A main characteristic of the widely used packet networks is that its switches/routers should be fairly simple and inexpensive. As a result, a significant part of the network cost is in the cost of the links. So by increasing the network traffic we can send over a given link, we will certainly increase the effectiveness of the whole network. A way of increasing this traffic is to send compressed packets. The main problem with this approach is that a very high speed compression/decompression device is needed. In this paper we present such a hardware compressor/decompressor and we prove that it can work up to the speed of the state-of-the-art network links. View full abstract»

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  • Author index

    Page(s): 1643 - 1653
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    Freely Available from IEEE
  • On the analysis of three-conductor transmission lines using Park transformation

    Page(s): 1277 - 1280 vol.3
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (424 KB) |  | HTML iconHTML  

    Park approach belongs to the usual procedures specific of the modal analysis. Under this point of view it can be used in the analysis of three-phase static components, in particular in the study of symmetric transmission lines. In this case the approach substitutes the matrix formulation, specific of the modal analysis, with space-vectors. In this way we obtain single-phase complex functions able to synthesise all the logic modal processes with much more immediacy and physical visibility in respect to those specific of matrix algebra. In this paper the theoretical aspects are discussed and some application examples are also presented View full abstract»

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  • AUTODDM: automatic characterization tool for the delay degradation model

    Page(s): 1631 - 1634 vol.3
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (352 KB) |  | HTML iconHTML  

    As delay models used in logic timing simulation become more and more complex, the problem of model parameter values extraction arise as an important issue, which it is necessary to face in order to achieve a practical implementation of the model. In this way, this paper describes the characterization process associated with the previously developed delay degradation model for CMOS logic gates (DDM) and the implementation of an automatic characterization tool that automates the process and allows easy and fast model parameter extraction View full abstract»

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  • SPU based microrobots: a new approach to the robotic world

    Page(s): 1191 - 1194 vol.3
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (344 KB) |  | HTML iconHTML  

    A microrobot structure, based on piezoelectric materials that implements a new driving approach has been developed. This approach is based on the concept of Smart Piezoelectric Unit (SPU), that means the integration of the piezolectric actuator and its driving circuitry in the same package to be considered as an independent and compact unit, which can be used to build, as a single and primary element, more complex structures View full abstract»

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  • A proof of the non-existence of universal nonlinearities for blind signal separation

    Page(s): 1265 - 1268 vol.3
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    The universally applicable nonlinearity for the blind separation of arbitrary source densities is one of the ultimate goals in blind signal processing. This paper provides a proof that such a single, universal nonlinearity for the separation of all non-Gaussian signals cannot exist View full abstract»

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  • Development of a vision based object classification system for an industrial robotic manipulator

    Page(s): 1281 - 1284 vol.3
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (352 KB) |  | HTML iconHTML  

    Due to the growing cost of raw materials, workmanship, energy, and growing competition environment, manufacturers are forced to produce cheaper and higher quality productions. This force results in the need for automation techniques. We have developed a vision based system for industrial robotic manipulators to classify objects on a moving conveyor. Low and intermediate level image processing algorithms are implemented as a first step. In the implementation of application level image processing, a neural network is designed to classify objects, and moment invariants are used as feature vector set. The system is tested for different objects moving on a conveyor. The speed and the position of the object are computed. This information represents the most used criteria in the control of robots. The hardware implementation and overview of the algorithms with their results are presented View full abstract»

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  • An iterative method for instantaneous frequency estimation

    Page(s): 1335 - 1338 vol.3
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    In this paper, we propose an iterative method to estimate the instantaneous frequency of a signal based on the discrete evolutionary transform (DET). The DET provides a representation for nonstationary signals and a time-frequency kernel that permits us to obtain the time-dependent spectrum of the signal. We will show the instantaneous phase and the corresponding instantaneous frequency (IF) can also be computed from the evolutionary kernel. Estimation of IF is of general interest in time-frequency analysis. Implementation of the IF estimation is done by masking and a recursive nonlinear correction procedure. The proposed estimation is valid for monocomponent as well as multicomponent signals. The estimation procedure is illustrated by means of examples View full abstract»

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  • Switch sizing for very low-voltage switched-capacitor circuits

    Page(s): 1549 - 1552 vol.3
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (280 KB) |  | HTML iconHTML  

    A simple series switch sizing procedure is presented taking into account very low-voltage switch operation. Under these conditions, the switch conducts not only in the linear region, but also in saturation. The procedure has been implemented in an automatic sizing tool and used to optimize separately switch sizes in a very low-voltage delta-sigma modulator. This has allowed us to minimize clock feedthrough while satisfying all settling requirements View full abstract»

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  • A practical substrate modeling algorithm with active guardband macromodel for mixed-signal substrate coupling verification

    Page(s): 1455 - 1460 vol.3
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    Substrate-coupled switching noise is a major concern for mixed-signal circuit design. In this paper, an efficient substrate extraction algorithm based on Delaunay triangulation is proposed for heavily-doped bulk substrate. Macromodel of active noise suppression guard band that enhances noise insulation efficiency is also incorporated. SPICE simulation results of circuit layouts comprising the proposed substrate model are compared against those generated by Cadence Substrate Coupling Analysis tool View full abstract»

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  • A new approach for mobile manipulator motion control

    Page(s): 1203 - 1207 vol.3
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (296 KB) |  | HTML iconHTML  

    In this paper a new approach for motion control of a mobile manipulator is presented. On the basis of the task specifications, the algorithm determines the appropriate control variables to respond to the well tracking trajectory. The control strategy employed for either subsystem is achieved by using a robust fuzzy-based controllers. The dynamic model is considered for the robot manipulator whereas kinematic model is considered for the mobile base. A learning paradigm is used to produce the required reference variables for an overall cooperative behavior of the system. Simulation results are presented to show the effectiveness of this new scheme View full abstract»

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  • On signal reconstruction from Fourier magnitude

    Page(s): 1403 - 1406 vol.3
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (328 KB) |  | HTML iconHTML  

    Three new algorithms for signal reconstruction from spectral magnitude are presented. The first describes the reconstruction of a signal from its discrete Fourier transform (DFT) magnitude and half of its samples using the decimation-in-time FFT algorithm which results in a closed-form solution for the unknown data. The second is based on localized Fourier transform magnitudes and a single spatial sample to fully reconstruct an image. The process reconstructs equal-sized image blocks, until the entire image is restored, using the spatial sample as initial data. The third scheme is a modification of the Gerchberg-Saxton iterative approach to image reconstruction. From the separability property of the 2-D DFT, an intermediate Fourier domain arises, and the reconstruction algorithm may impose twice as many Fourier magnitude constraints, compared to the conventional approach. The three algorithms are analyzed, and simulation results in the presence of measurement errors are presented View full abstract»

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  • Low-voltage CMOS current operational amplifier with class AB input stage

    Page(s): 1525 - 1528 vol.3
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (248 KB) |  | HTML iconHTML  

    A CMOS current operational amplifier (COA) which can be operated from a minimum supply voltage of VT+3VDS,SAT is presented. Unlike previous low-voltage solutions operating in class A, the proposed one employs a class AB input stage that enhances slew-rate performance and provides accurate control of both quiescent currents and input bias voltage. A design example is implemented in a 0.5 μm standard technology using a 1 V supply. It exhibits a 56 dB loop gain with a gain-bandwidth product of 18 MHz. Good linearity and noise performance are also achieved View full abstract»

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  • A selective compression algorithm for SAR images based on irregular and adaptive sampling

    Page(s): 1171 - 1174 vol.3
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (360 KB) |  | HTML iconHTML  

    Deals with the topic of selective compression of SAR images. A novel algorithm based on the use of irregular and adaptive sampling is presented: good compression ratios can be achieved selecting the regions of interest (ROI) within the image in order to represent them with an adequate set of samples, while the textured or uniform background is roughly sampled. The method presented has been tested on several SAR images obtaining very good performance. An example of an application is given in this paper View full abstract»

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  • Aperiodic filter analysis and design by symbolic computation

    Page(s): 1289 - 1292 vol.3
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    The availability of software for symbolic computation, as Maple, allows new approaches in the filter analysis and design. This paper shows how it is possible to perform a complete analysis of a family of aperiodical filters by computing a set of normalized diagrams (showing typical time and frequency indexes) and also the set of related formulae. Continuation theory and symbolic computation have been essential for deriving these results, which are not commonly available in filter literature. These indexes are useful for the identification of a reduced model of typical industrial process View full abstract»

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  • New natural selection process and chromosome encoding for the design of multiplierless lattice QMF using genetic algorithm

    Page(s): 1273 - 1276 vol.3
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (328 KB) |  | HTML iconHTML  

    A new natural selection process and chromosome encoding for the design of signed power-of-two (SPT) coefficient lattice structure quadrature mirror filter (QMF) bank using a genetic algorithm (GA) is presented. In the design of filters using genetic algorithms, in general, genetic operations may render the SPT representation of a value noncanonical. In this paper, a new encoding scheme is introduced to encode the SPT values. In this new scheme, the canonical property of the SPT values is preserved under genetic operations. Additionally, a new feature which drastically improves the performance of the GA is introduced. The new feature is: the probability of mutation for each codon of a chromosome is weighted by the reciprocal of its effect. Owing to the new feature, the performance of our new GA outperforms conventional GA View full abstract»

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  • An improved phase clock generator for interleaved and double-sampled switched-capacitor circuits

    Page(s): 1553 - 1556 vol.3
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (240 KB) |  | HTML iconHTML  

    A simple, yet effective, approach to the generation of switches' control signals to reduce timing-skew problems in interleaved and double-sampled switched-capacitor circuits is proposed. The new approach, unlike similar methods previously proposed, avoids the introduction of additional switches in the switched-capacitor circuits, at the cost of a minor increase of complexity in the clock phase generation. This has two main advantages. First, the performance degradation due to the additional switch is avoided. Second, it becomes extremely easy to build interleaved architectures combining preexisting analog blocks View full abstract»

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  • An improved transmission energy transformer for a non invasive rechargeable battery to artificial organs

    Page(s): 1209 - 1214 vol.3
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (344 KB)  

    A transcutaneous energy transmission is employed to supply electrical energy from outside the body to the interior of the body by using a transcutaneous transformer. The rechargeable will be continuously used to charge the battery with a transcutaneous energy transmission system for artificial organs cardiac pump. The technique would need a power supply that uses a transcutaneous transformer to charge the battery of the rechargeable artificial organs View full abstract»

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  • Electrocardiogram characterization using wavelet analysis

    Page(s): 1367 - 1370 vol.3
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    The electrocardiograph (ECG) is a graphical representation of the forces generated during cardiac activity, and is an essential tool for the diagnosis of cardiac abnormalities. An automatic ECG analyzer will provide a cardiologist with a tool allowing faster and more accurate diagnosis. The analysis consists of the measurement of the amplitudes, durations and morphologies of the P, QRS and T waves. This paper deals with the measure of QRS duration, R spikes detection (arrhythmia), and the starting and vanishing time of the T wave. A comparison of different methods based on the derivatives and filtering for the extraction of ECG characteristics is presented. We show that wavelet analysis gives better results than classical methods, and enables a finer characterization of the parameters View full abstract»

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  • Discrete-time randomized sampling

    Page(s): 1407 - 1411 vol.3
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (416 KB) |  | HTML iconHTML  

    This paper explores the use of randomized sampling in implementing convolution in discrete-time with application to the areas of approximate filtering, low-power filter design, and hardware failure modeling. Three distinct randomized sampling methods are presented and additive error models as well as second-order error statistics are derived for these for both white and semi-correlated sampling processes. Discrete-time randomized sampling (RS) is then considered as a filter approximation method and conditions are derived under which RS-based approximations to the Wiener filter lead to a smaller mean-square estimation error than the best constrained LTI approximation. The tradeoff between power savings and output quality is also investigated for low-power applications. In addition, the RS framework is used to model a class of random hardware failures and algorithms are presented to improve the output SNR View full abstract»

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  • Paradys: A scalable infrastructure for parallel circuit simulation

    Page(s): 1313 - 1325 vol.3
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    We detail the design of a scalable infrastructure, called Paradys, developed for parallel circuit simulation. Early measurements of its scalability (some 0.9x of parallel efficiency) are encouraging signs to measure on larger parallel configurations as well as to envision its application for simulation of deep sub-micron technology. This good scalability is, in great part, achieved thanks to a dynamically managed memory gap, called ShMC++, reducing the number of memory accesses in the given shared memory environment. Actual measurements show an increase, due to ShMC++, of the overall speed-up of Paradys parallel infrastructure going from 14% to 78% depending on the original memory access rate View full abstract»

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  • Rapid prototyping of biorthogonal discrete wavelet transforms on FPGAs

    Page(s): 1399 - 1402 vol.3
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    The purpose of this paper is to present a methodology for rapid prototyping of biorthogonal wavelet transforms on FPGAs. The methodology is based on adequate partitioning of a time interleaved "wait cycles" free architecture. The design has been captured using a schematic capture tools and can be parameterised in terms of the number of filter coefficients, data and coefficient word-lengths, digit size and degree of pipelining. The efficiency of the approach has been verified on the Xilinx 4000 FPGA series View full abstract»

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  • Bipartite graph labeling for the subcircuit recognition problem

    Page(s): 1285 - 1288 vol.3
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    Subcircuit recognition (SR) is a problem of recognition of a small model bipartite graph (BG) associated with a subcircuit in a larger object BG associated with a circuit. The performance of the SR methods strongly depends on labeling both the BGs. Unfortunately, known labeling algorithms possess weak discriminative abilities since in forming labels they exploit the structure of local vertex connections mainly. As a result, we have to use computationally expensive search-based algorithms for SR. In this paper we propose a new efficient algorithm to label BG vertices for the SR problem. This algorithm is based on iterative hashing vertex labels according to the special rules. The new method takes into account the structure of non-local vertex surroundings and, as a result, it possesses good discriminative abilities. This allows combining it with an efficient probabilistic graph recognition algorithm to solve the SR problem. The experiments show that using the new labeling algorithm substantially improves the SR results in comparison with standard labeling methods View full abstract»

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  • A direct-conversion BiCMOS mixer for GHz applications

    Page(s): 1599 - 1602 vol.3
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    This paper proposes a highly linear doubly-balanced mixer for gigahertz applications. Merits of the proposed folded-cascode BiCMOS mixer in comparison to prior-art have been made clear through analysis and simulations. The BiCMOS mixer is especially suitable for low-voltage direct-conversion modulator applications View full abstract»

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