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    <title>DSpace Community:</title>
    <link>http://hdl.handle.net/2117/2136</link>
    <description />
    <pubDate>Tue, 18 Jun 2013 21:52:14 GMT</pubDate>
    <dc:date>2013-06-18T21:52:14Z</dc:date>
    <itunes:owner>
      <itunes:email>webmaster.bupc@upc.edu</itunes:email>
      <itunes:name>Universitat Politècnica de Catalunya. Servei de Biblioteques i Documentació</itunes:name>
    </itunes:owner>
    <itunes:explicit>no</itunes:explicit>
    <itunes:keywords />
    <item>
      <title>Quasi-digital conversion for resistive devices: application in GMR-based IC current sensors</title>
      <link>http://hdl.handle.net/2117/19544</link>
      <description>Title: Quasi-digital conversion for resistive devices: application in GMR-based IC current sensors
Authors: Reig, C.; Cubells, Miquel; De Marcellis, A.; Madrenas Boadas, Jordi; Cardoso, S.; Freitas, P.P.
Abstract: Resistive devices, including sensors, are used in a huge&#xD;
range of applications within different scenarios. When a complete&#xD;
system is considered, a quasi-digital output is often&#xD;
recommendable. If the conversion is operated at device level,&#xD;
some problems such as noise disturbs, insertion losses and so on,&#xD;
can be reduced. In this work, we describe a resistance-tofrequency&#xD;
(R-f) converter with a suggested application in low&#xD;
current monitoring by means of GiantMagnetoResistance (GMR)&#xD;
sensors. Specific devices have been designed and microfabricated.&#xD;
The system has been tested by means of discrete components with&#xD;
a PCB. The complete microsystem monolithic integration in a&#xD;
standard CMOS technology has been also analyzed.</description>
      <pubDate>Wed, 12 Jun 2013 17:03:54 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/2117/19544</guid>
      <dc:date>2013-06-12T17:03:54Z</dc:date>
      <itunes:author>Reig, C.; Cubells, Miquel; De Marcellis, A.; Madrenas Boadas, Jordi; Cardoso, S.; Freitas, P.P.</itunes:author>
      <itunes:explicit>no</itunes:explicit>
      <itunes:keywords>Sensors, CMOS integrated circuits, Electric current measurement, Electron devices, Oscillators (electronic), Polychlorinated biphenyls</itunes:keywords>
      <itunes:summary>Resistive devices, including sensors, are used in a huge&#xD;
range of applications within different scenarios. When a complete&#xD;
system is considered, a quasi-digital output is often&#xD;
recommendable. If the conversion is operated at device level,&#xD;
some problems such as noise disturbs, insertion losses and so on,&#xD;
can be reduced. In this work, we describe a resistance-tofrequency&#xD;
(R-f) converter with a suggested application in low&#xD;
current monitoring by means of GiantMagnetoResistance (GMR)&#xD;
sensors. Specific devices have been designed and microfabricated.&#xD;
The system has been tested by means of discrete components with&#xD;
a PCB. The complete microsystem monolithic integration in a&#xD;
standard CMOS technology has been also analyzed.</itunes:summary>
    </item>
    <item>
      <title>A bit more on the ability of adaptation of speech signals</title>
      <link>http://hdl.handle.net/2117/19502</link>
      <description>Title: A bit more on the ability of adaptation of speech signals
Authors: Ballesteros, Dora Maria; Moreno Aróstegui, Juan Manuel
Abstract: Some traditional digital signal processing techniques encompass enhancement, filtering, coding, compression, detection and recognition. Recently, it has been presented a new hypothesis of signal processing known as the ability of adaptation of speech signals: an original speech signal may sound similar to a target speech signal if a relocation process of its wavelet coefficients is applied. This hypothesis is true under some conditions theoretically defined. In this paper we present the basic idea behind the hypothesis of adaptation and moreover, we test the hypothesis within four cases: speech signals with the same gender and language, speech signals with the same gender but different language, speech signals with the same language but different gender, and speech signals with different gender and language. It is found that the hypothesis is true if the requirements are satis® ed, even if the gender or the language of the original and target signals are not the same.</description>
      <pubDate>Tue, 04 Jun 2013 13:00:09 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/2117/19502</guid>
      <dc:date>2013-06-04T13:00:09Z</dc:date>
      <itunes:author>Ballesteros, Dora Maria; Moreno Aróstegui, Juan Manuel</itunes:author>
      <itunes:explicit>no</itunes:explicit>
      <itunes:keywords>Ability of adaptation, speech signals, wavelet coefficients, similarity</itunes:keywords>
      <itunes:summary>Some traditional digital signal processing techniques encompass enhancement, filtering, coding, compression, detection and recognition. Recently, it has been presented a new hypothesis of signal processing known as the ability of adaptation of speech signals: an original speech signal may sound similar to a target speech signal if a relocation process of its wavelet coefficients is applied. This hypothesis is true under some conditions theoretically defined. In this paper we present the basic idea behind the hypothesis of adaptation and moreover, we test the hypothesis within four cases: speech signals with the same gender and language, speech signals with the same gender but different language, speech signals with the same language but different gender, and speech signals with different gender and language. It is found that the hypothesis is true if the requirements are satis® ed, even if the gender or the language of the original and target signals are not the same.</itunes:summary>
    </item>
    <item>
      <title>Real-time, speech-in-speech hiding scheme based on least significant bit substitution and adaptive key</title>
      <link>http://hdl.handle.net/2117/19449</link>
      <description>Title: Real-time, speech-in-speech hiding scheme based on least significant bit substitution and adaptive key
Authors: Ballesteros, Dora Maria; Moreno Aróstegui, Juan Manuel
Abstract: Real-time, embedded speech-in-speech hiding has not been widely researched. Nevertheless, it could be useful, among other cases, in secure mobile telephony. In this paper, we propose a new scheme of data hiding which takes advantage of the masking property of the Human Auditory System (HAS) to hide a secret (speech) signal into a host (speech) signal. The embedding process is carried out into the wavelet coefficients of the speech signals. The main point of the proposed scheme is that the embedding process is suitable for real-time processing, and the secret’s coefficients are relocated by an adaptive key, instead of a pseudo-noise sequence of some approaches. The latency of the embedding module makes this approach useful for real-time speech communication because the total delay added by the proposed system is low compared to the highest delay allowed for a high quality speech transmission.</description>
      <pubDate>Wed, 29 May 2013 17:57:37 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/2117/19449</guid>
      <dc:date>2013-05-29T17:57:37Z</dc:date>
      <itunes:author>Ballesteros, Dora Maria; Moreno Aróstegui, Juan Manuel</itunes:author>
      <itunes:explicit>no</itunes:explicit>
      <itunes:keywords>Speech communication, Audition, Speech, Speech transmission, Steganography</itunes:keywords>
      <itunes:summary>Real-time, embedded speech-in-speech hiding has not been widely researched. Nevertheless, it could be useful, among other cases, in secure mobile telephony. In this paper, we propose a new scheme of data hiding which takes advantage of the masking property of the Human Auditory System (HAS) to hide a secret (speech) signal into a host (speech) signal. The embedding process is carried out into the wavelet coefficients of the speech signals. The main point of the proposed scheme is that the embedding process is suitable for real-time processing, and the secret’s coefficients are relocated by an adaptive key, instead of a pseudo-noise sequence of some approaches. The latency of the embedding module makes this approach useful for real-time speech communication because the total delay added by the proposed system is low compared to the highest delay allowed for a high quality speech transmission.</itunes:summary>
    </item>
    <item>
      <title>A communication infrastructure for emulating large-scale neural networks models</title>
      <link>http://hdl.handle.net/2117/19395</link>
      <description>Title: A communication infrastructure for emulating large-scale neural networks models
Authors: Barrera, A.G.; Moreno Aróstegui, Juan Manuel
Abstract: This paper presents the SEPELYNS architecture that permits to in-&#xD;
terconnect multiple spiking neurons focused on hardware implementations.&#xD;
SEPELYNS can connect millions of neur&#xD;
ons with thousands of synapses per&#xD;
neuron in a layered fabric that provides some capabilities such as connectivity,&#xD;
expansion, flexibility, bio-plausibility and&#xD;
reusing of resources that allows si-&#xD;
mulation of very large networks. We presen&#xD;
t the three layers of this architecture&#xD;
(neuronal, network adapters and networks on chip layers) and explain its per-&#xD;
formance parameters such as throughput, latency and hardware resources. Some&#xD;
application examples of large neural networks on SEPELYNS are studied;&#xD;
these will show that use of&#xD;
on-chip parallel networks could permit the hardware&#xD;
simulation of populations of spiking neurons.</description>
      <pubDate>Mon, 27 May 2013 08:33:20 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/2117/19395</guid>
      <dc:date>2013-05-27T08:33:20Z</dc:date>
      <itunes:author>Barrera, A.G.; Moreno Aróstegui, Juan Manuel</itunes:author>
      <itunes:explicit>no</itunes:explicit>
      <itunes:keywords />
      <itunes:summary>This paper presents the SEPELYNS architecture that permits to in-&#xD;
terconnect multiple spiking neurons focused on hardware implementations.&#xD;
SEPELYNS can connect millions of neur&#xD;
ons with thousands of synapses per&#xD;
neuron in a layered fabric that provides some capabilities such as connectivity,&#xD;
expansion, flexibility, bio-plausibility and&#xD;
reusing of resources that allows si-&#xD;
mulation of very large networks. We presen&#xD;
t the three layers of this architecture&#xD;
(neuronal, network adapters and networks on chip layers) and explain its per-&#xD;
formance parameters such as throughput, latency and hardware resources. Some&#xD;
application examples of large neural networks on SEPELYNS are studied;&#xD;
these will show that use of&#xD;
on-chip parallel networks could permit the hardware&#xD;
simulation of populations of spiking neurons.</itunes:summary>
    </item>
    <item>
      <title>SIXE: An X-ray experiment for the MINISAT platform</title>
      <link>http://hdl.handle.net/2117/19174</link>
      <description>Title: SIXE: An X-ray experiment for the MINISAT platform
Authors: Bravo Guil, Eduardo; García-Berro Montilla, Enrique; Gutierrez Cabello, Jorge Luis; José Pont, Jordi; García Senz, Domingo; Cabestany Moncusí, Joan; Madrenas Boadas, Jordi</description>
      <pubDate>Mon, 13 May 2013 09:46:38 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/2117/19174</guid>
      <dc:date>2013-05-13T09:46:38Z</dc:date>
      <itunes:author>Bravo Guil, Eduardo; García-Berro Montilla, Enrique; Gutierrez Cabello, Jorge Luis; José Pont, Jordi; García Senz, Domingo; Cabestany Moncusí, Joan; Madrenas Boadas, Jordi</itunes:author>
      <itunes:explicit>no</itunes:explicit>
      <itunes:keywords />
    </item>
    <item>
      <title>Sense/Drive Architecture for CMOS-MEMS Accelerometers with Relaxation Oscillator and TDC</title>
      <link>http://hdl.handle.net/2117/17846</link>
      <description>Title: Sense/Drive Architecture for CMOS-MEMS Accelerometers with Relaxation Oscillator and TDC
Authors: Michalik, Piotr Jozef; Madrenas Boadas, Jordi; Fernández Martínez, Daniel</description>
      <pubDate>Mon, 18 Feb 2013 15:02:12 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/2117/17846</guid>
      <dc:date>2013-02-18T15:02:12Z</dc:date>
      <itunes:author>Michalik, Piotr Jozef; Madrenas Boadas, Jordi; Fernández Martínez, Daniel</itunes:author>
      <itunes:explicit>no</itunes:explicit>
      <itunes:keywords />
    </item>
    <item>
      <title>The Equilibrium-action cycle as a mechanism for design-evolution integration in autonomous behavior design</title>
      <link>http://hdl.handle.net/2117/16976</link>
      <description>Title: The Equilibrium-action cycle as a mechanism for design-evolution integration in autonomous behavior design
Authors: Olivier, Paul; Moreno Aróstegui, Juan Manuel</description>
      <pubDate>Tue, 20 Nov 2012 13:05:58 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/2117/16976</guid>
      <dc:date>2012-11-20T13:05:58Z</dc:date>
      <itunes:author>Olivier, Paul; Moreno Aróstegui, Juan Manuel</itunes:author>
      <itunes:explicit>no</itunes:explicit>
      <itunes:keywords />
    </item>
    <item>
      <title>Highly transparent steganography model of speech signals using efficient wavelet masking</title>
      <link>http://hdl.handle.net/2117/16737</link>
      <description>Title: Highly transparent steganography model of speech signals using efficient wavelet masking
Authors: Ballesteros, D.M.L.; Moreno Aróstegui, Juan Manuel
Abstract: Steganography is the process of hiding information on a host signal. Transparency is referred to the ability&#xD;
to avoid suspicion about the existence of a secret message. The most popular mechanisms for hiding data&#xD;
in audio signals are the Least Significant Bit (LSB) substitution, Frequency Masking (FM), Spread Spectrum&#xD;
(SS), and Shift Spectrum Algorithm (SSA). In this paper, we adapt the Frequency Masking concept using an&#xD;
efficient sorting of the wavelet coefficients of the secret messages and use an indirect LSB substitution for&#xD;
hiding speech signals into speech signals. The experimental results show that the proposed model, the&#xD;
Efficient Wavelet Masking (EWM) scheme, has a hiding capacity significantly higher than the Spread&#xD;
and Shift Spectrum Algorithms and additionally a statistical transparency higher than all of the above&#xD;
mentioned mechanisms. Moreover, the transparency is not dependent of the host signal chosen because&#xD;
the wavelet sorting guarantees the adaptation of the secret message to the host signal.</description>
      <pubDate>Wed, 17 Oct 2012 10:28:34 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/2117/16737</guid>
      <dc:date>2012-10-17T10:28:34Z</dc:date>
      <itunes:author>Ballesteros, D.M.L.; Moreno Aróstegui, Juan Manuel</itunes:author>
      <itunes:explicit>no</itunes:explicit>
      <itunes:keywords>Speech hiding, Steganalysis, Wavelet masking steganography</itunes:keywords>
      <itunes:summary>Steganography is the process of hiding information on a host signal. Transparency is referred to the ability&#xD;
to avoid suspicion about the existence of a secret message. The most popular mechanisms for hiding data&#xD;
in audio signals are the Least Significant Bit (LSB) substitution, Frequency Masking (FM), Spread Spectrum&#xD;
(SS), and Shift Spectrum Algorithm (SSA). In this paper, we adapt the Frequency Masking concept using an&#xD;
efficient sorting of the wavelet coefficients of the secret messages and use an indirect LSB substitution for&#xD;
hiding speech signals into speech signals. The experimental results show that the proposed model, the&#xD;
Efficient Wavelet Masking (EWM) scheme, has a hiding capacity significantly higher than the Spread&#xD;
and Shift Spectrum Algorithms and additionally a statistical transparency higher than all of the above&#xD;
mentioned mechanisms. Moreover, the transparency is not dependent of the host signal chosen because&#xD;
the wavelet sorting guarantees the adaptation of the secret message to the host signal.</itunes:summary>
    </item>
    <item>
      <title>LCMOS: Light-powered standard CMOS circuits</title>
      <link>http://hdl.handle.net/2117/16645</link>
      <description>Title: LCMOS: Light-powered standard CMOS circuits
Authors: Madrenas Boadas, Jordi; Fernández Martínez, Daniel; Wang, Chunyan
Abstract: LCMOS, a harvest-use light-powered scheme for&#xD;
standard CMOS circuits based on photogenerated currents in&#xD;
the drain-substrate PN junction of both PMOS and NMOS&#xD;
transistors is introduced. PMOS and NMOS bulks are groundconnected&#xD;
so the generated currents induce symmetrical positive&#xD;
and negative voltage at the PMOS and NMOS sources,&#xD;
respectively. Applying this approach to a CMOS inverter ring&#xD;
oscillator in 150 nm technology, simulations show that nearly 1&#xD;
Vpp signal range can be obtained. The operation of a simple 4-&#xD;
bit counter is also illustrated. The light-powering technique can&#xD;
be applied almost directly to digital standard cells in ultra-lowpower&#xD;
applications with modest processing speed requirements.</description>
      <pubDate>Thu, 04 Oct 2012 12:00:10 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/2117/16645</guid>
      <dc:date>2012-10-04T12:00:10Z</dc:date>
      <itunes:author>Madrenas Boadas, Jordi; Fernández Martínez, Daniel; Wang, Chunyan</itunes:author>
      <itunes:explicit>no</itunes:explicit>
      <itunes:keywords />
      <itunes:summary>LCMOS, a harvest-use light-powered scheme for&#xD;
standard CMOS circuits based on photogenerated currents in&#xD;
the drain-substrate PN junction of both PMOS and NMOS&#xD;
transistors is introduced. PMOS and NMOS bulks are groundconnected&#xD;
so the generated currents induce symmetrical positive&#xD;
and negative voltage at the PMOS and NMOS sources,&#xD;
respectively. Applying this approach to a CMOS inverter ring&#xD;
oscillator in 150 nm technology, simulations show that nearly 1&#xD;
Vpp signal range can be obtained. The operation of a simple 4-&#xD;
bit counter is also illustrated. The light-powering technique can&#xD;
be applied almost directly to digital standard cells in ultra-lowpower&#xD;
applications with modest processing speed requirements.</itunes:summary>
    </item>
    <item>
      <title>POETIC-CUBES</title>
      <link>http://hdl.handle.net/2117/16312</link>
      <description>Title: POETIC-CUBES
Authors: Paricio, Raquel; Moreno Aróstegui, Juan Manuel</description>
      <pubDate>Fri, 20 Jul 2012 17:46:05 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/2117/16312</guid>
      <dc:date>2012-07-20T17:46:05Z</dc:date>
      <itunes:author>Paricio, Raquel; Moreno Aróstegui, Juan Manuel</itunes:author>
      <itunes:explicit>no</itunes:explicit>
      <itunes:keywords />
    </item>
    <item>
      <title>Bio-inspired systems. Computational and ambient intelligence</title>
      <link>http://hdl.handle.net/2117/16083</link>
      <description>Title: Bio-inspired systems. Computational and ambient intelligence
Authors: Sandoval, Francisco; Cabestany Moncusí, Joan; Prieto, Alberto
Abstract: In the present issue of Neurocomputing, it is apleasure to present you a collection of 12 extended versions of selected papers from the 10 the dition of the International Work Conference on Artificial Neural Networks (IWANN2009). This is a conference held every two year in Spain, and focus in gon the foundations, theory, models and applications of systems, which are inspired by nature (e.g.neural networks, fuzzy logic and evolutionary systems).</description>
      <pubDate>Mon, 18 Jun 2012 14:52:03 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/2117/16083</guid>
      <dc:date>2012-06-18T14:52:03Z</dc:date>
      <itunes:author>Sandoval, Francisco; Cabestany Moncusí, Joan; Prieto, Alberto</itunes:author>
      <itunes:explicit>no</itunes:explicit>
      <itunes:keywords />
      <itunes:summary>In the present issue of Neurocomputing, it is apleasure to present you a collection of 12 extended versions of selected papers from the 10 the dition of the International Work Conference on Artificial Neural Networks (IWANN2009). This is a conference held every two year in Spain, and focus in gon the foundations, theory, models and applications of systems, which are inspired by nature (e.g.neural networks, fuzzy logic and evolutionary systems).</itunes:summary>
    </item>
    <item>
      <title>Continuous-time CMOS adaptive asynchronous sigma-delta modulator approximating low-fs low-inband-error on-chip wideband power amplifier</title>
      <link>http://hdl.handle.net/2117/14496</link>
      <description>Title: Continuous-time CMOS adaptive asynchronous sigma-delta modulator approximating low-fs low-inband-error on-chip wideband power amplifier
Authors: Alarcón Cot, Eduardo José; Fernández, Diego; García Tormo, Albert; Madrenas Boadas, Jordi; Poveda López, Alberto
Abstract: A mixed-signal continuous-time-processing standard CMOS implementation of an asynchronous sigma-delta modulator aimed to drive a switching amplifier operating as an on-chip wideband adaptive power supply is presented in this work. The paper first briefly discusses the fundamental limit tracking capabilities of a two-level switching signal to inband-error-free track a bandlimited signal with minimum average switching frequency. It is argued the adequacy of an adaptive asynchronous sigma-delta modulator (AAΣΔ) to approximate such fundamental characteristics. The second part of the paper presents mixed-signal design details of the various subcircuits implementing a CMOS low-power digitally-programmable AAΣΔ modulator, with 7 MHz average switching frequency operation and 1000 µm × 640 µm area occupancy.</description>
      <pubDate>Thu, 12 Jan 2012 19:13:58 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/2117/14496</guid>
      <dc:date>2012-01-12T19:13:58Z</dc:date>
      <itunes:author>Alarcón Cot, Eduardo José; Fernández, Diego; García Tormo, Albert; Madrenas Boadas, Jordi; Poveda López, Alberto</itunes:author>
      <itunes:explicit>no</itunes:explicit>
      <itunes:keywords />
      <itunes:summary>A mixed-signal continuous-time-processing standard CMOS implementation of an asynchronous sigma-delta modulator aimed to drive a switching amplifier operating as an on-chip wideband adaptive power supply is presented in this work. The paper first briefly discusses the fundamental limit tracking capabilities of a two-level switching signal to inband-error-free track a bandlimited signal with minimum average switching frequency. It is argued the adequacy of an adaptive asynchronous sigma-delta modulator (AAΣΔ) to approximate such fundamental characteristics. The second part of the paper presents mixed-signal design details of the various subcircuits implementing a CMOS low-power digitally-programmable AAΣΔ modulator, with 7 MHz average switching frequency operation and 1000 µm × 640 µm area occupancy.</itunes:summary>
    </item>
    <item>
      <title>A translinear, log-domain FPAA on standard CMOS technology</title>
      <link>http://hdl.handle.net/2117/14395</link>
      <description>Title: A translinear, log-domain FPAA on standard CMOS technology
Authors: Fernández, Daniel; Martínez Alvarado, Luis Arturo; Madrenas Boadas, Jordi
Abstract: A field-programmable analog array (FPAA) using a standard-CMOS wide-dynamic-range translinear element (TE) is introduced. The FPAA configurable analog blocks (CABs) are based on a reconfigurable translinear cell (RTC), capable of implementing the basic circuit elements required by translinear and log-domain circuit design. The interfacing is provided by an I/O programmable cell, which allows for easier connectivity between the signal-processing core and the external circuitry. As a proof-of-concept, a 5 $times$ 5 RTC FPAA testchip was implemented in 0.35- $mu{hbox {m}}$ CMOS technology. A set of various circuit primitives, such as one- and four-quadrant multipliers, an Euclidean distance operator and a fourth-order log-domain filter, were mapped on the chip in order to demonstrate the versatility of the approach. FPAA bandwidth reaches 20 MHz with a power consumption of 30 $muhbox{W/TE}$ and precision errors below 3%.</description>
      <pubDate>Mon, 02 Jan 2012 17:59:28 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/2117/14395</guid>
      <dc:date>2012-01-02T17:59:28Z</dc:date>
      <itunes:author>Fernández, Daniel; Martínez Alvarado, Luis Arturo; Madrenas Boadas, Jordi</itunes:author>
      <itunes:explicit>no</itunes:explicit>
      <itunes:keywords />
      <itunes:summary>A field-programmable analog array (FPAA) using a standard-CMOS wide-dynamic-range translinear element (TE) is introduced. The FPAA configurable analog blocks (CABs) are based on a reconfigurable translinear cell (RTC), capable of implementing the basic circuit elements required by translinear and log-domain circuit design. The interfacing is provided by an I/O programmable cell, which allows for easier connectivity between the signal-processing core and the external circuitry. As a proof-of-concept, a 5 $times$ 5 RTC FPAA testchip was implemented in 0.35- $mu{hbox {m}}$ CMOS technology. A set of various circuit primitives, such as one- and four-quadrant multipliers, an Euclidean distance operator and a fourth-order log-domain filter, were mapped on the chip in order to demonstrate the versatility of the approach. FPAA bandwidth reaches 20 MHz with a power consumption of 30 $muhbox{W/TE}$ and precision errors below 3%.</itunes:summary>
    </item>
    <item>
      <title>Best-basis development towards the automatical detection of otolith irregularities in fishes</title>
      <link>http://hdl.handle.net/2117/14246</link>
      <description>Title: Best-basis development towards the automatical detection of otolith irregularities in fishes
Authors: Soria Pérez, José Antonio; Parisi Baradad, Vicenç
Abstract: The application of feature extraction methodologies&#xD;
and the detection of patterns in sagitae otoliths, which are&#xD;
calcified structures in the inner ear of teleostean fishes, has lead&#xD;
to great knowledge of marine biology during the last decades in&#xD;
order to manage and control its sustainability. A main limitation&#xD;
of the use of statistical analysis and Fourier methods rely on&#xD;
their incapacity to locate irregularities and explain them from a&#xD;
more structural, or even physical, point of view. This matter has&#xD;
been addressed recently by means of the Best-Basis paradigm&#xD;
which combines robust description methods, such as the Wavelet&#xD;
Transform, and the potential of statistical analysis in order to&#xD;
fully automate the selection process of efficient features. This&#xD;
paper is an attempt to readdress this paradigm towards this&#xD;
goal and contrasts other standard tools used in the field of&#xD;
otolith-based fish recognition. The proposed strategy involves the&#xD;
estimation of class distributions, discriminant measures and the&#xD;
search in the feature space.</description>
      <pubDate>Wed, 14 Dec 2011 12:59:50 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/2117/14246</guid>
      <dc:date>2011-12-14T12:59:50Z</dc:date>
      <itunes:author>Soria Pérez, José Antonio; Parisi Baradad, Vicenç</itunes:author>
      <itunes:explicit>no</itunes:explicit>
      <itunes:keywords />
      <itunes:summary>The application of feature extraction methodologies&#xD;
and the detection of patterns in sagitae otoliths, which are&#xD;
calcified structures in the inner ear of teleostean fishes, has lead&#xD;
to great knowledge of marine biology during the last decades in&#xD;
order to manage and control its sustainability. A main limitation&#xD;
of the use of statistical analysis and Fourier methods rely on&#xD;
their incapacity to locate irregularities and explain them from a&#xD;
more structural, or even physical, point of view. This matter has&#xD;
been addressed recently by means of the Best-Basis paradigm&#xD;
which combines robust description methods, such as the Wavelet&#xD;
Transform, and the potential of statistical analysis in order to&#xD;
fully automate the selection process of efficient features. This&#xD;
paper is an attempt to readdress this paradigm towards this&#xD;
goal and contrasts other standard tools used in the field of&#xD;
otolith-based fish recognition. The proposed strategy involves the&#xD;
estimation of class distributions, discriminant measures and the&#xD;
search in the feature space.</itunes:summary>
    </item>
    <item>
      <title>Equilibrium-Driven Adaptive Behavior Design</title>
      <link>http://hdl.handle.net/2117/13975</link>
      <description>Title: Equilibrium-Driven Adaptive Behavior Design
Authors: Olivier, Paul; Moreno Aróstegui, Juan Manuel
Abstract: In autonomous robotics, scalability is a primary discriminator for evaluating a behavior design methodology. Such a proposed methodology must also allow efficient and effective conversion from desired to implemented behavior. From the concepts of equilibrium and homeostasis, it follows that behavior could be seen as driven rather than controlled. Homeostatic variables allow the development of need elements to completely implement drive and processing elements in a synthetic nervous system. Furthermore, an autonomous robot or system must act with a sense of meaning as opposed to being a human-command executor. Learning is fundamental in adding adaptability, and its efficient implementation will directly improve scalability. It is shown how using classical conditioning to learn obstacle avoidance can be implemented with need elements instead of an existing artificial neural network (ANN) solution.</description>
      <pubDate>Fri, 18 Nov 2011 19:30:20 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/2117/13975</guid>
      <dc:date>2011-11-18T19:30:20Z</dc:date>
      <itunes:author>Olivier, Paul; Moreno Aróstegui, Juan Manuel</itunes:author>
      <itunes:explicit>no</itunes:explicit>
      <itunes:keywords />
      <itunes:summary>In autonomous robotics, scalability is a primary discriminator for evaluating a behavior design methodology. Such a proposed methodology must also allow efficient and effective conversion from desired to implemented behavior. From the concepts of equilibrium and homeostasis, it follows that behavior could be seen as driven rather than controlled. Homeostatic variables allow the development of need elements to completely implement drive and processing elements in a synthetic nervous system. Furthermore, an autonomous robot or system must act with a sense of meaning as opposed to being a human-command executor. Learning is fundamental in adding adaptability, and its efficient implementation will directly improve scalability. It is shown how using classical conditioning to learn obstacle avoidance can be implemented with need elements instead of an existing artificial neural network (ANN) solution.</itunes:summary>
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