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Transcript
Int. J. Electron. Commun. (AEÜ) 63 (2009) 871 -- 876
Contents lists available at ScienceDirect
¨
Int. J. Electron. Commun. (AEU)
journal homepage: w w w . e l s e v i e r . d e / a e u e
Self-controlled 4-transistor low-power min–max current selector
Jordi Madrenas∗ , Daniel Fernández, Jordi Cosp, Luis Martínez-Alvarado, Eduard Alarcón, Eva Vidal,
Gerard Villar
Electronic Engineering Department, Universitat Politècnica de Catalunya (UPC), Jordi Girona 1-3, 08034 Barcelona, Spain
A R T I C L E
I N F O
Article history:
Received 23 April 2008
Accepted 5 July 2009
Keywords:
Analog VLSI
Current rectifier
Min–max selector
Neuromorphic engineering
Similarity detection
A B S T R A C T
Four cross-coupled MOS transistors operating as switches implement a very compact, fast, low-power
and precise minimum and maximum current selector. Local positive feedback allows the circuit to work
without the need of any control inputs and ensures very high sensitivity. Experimental results confirm
the simulations and the analyzed second-order effects. Applications include min–max current selection
and precision differential rectification. An application example of the cell to build a similarity circuit is
reported.
© 2009 Elsevier GmbH. All rights reserved.
1. Introduction
Minimum and maximum (min–max) analog VLSI current selectors are versatile building blocks used in several applications
such as nonlinear function synthesis (e.g. fuzzy logic and artificial
neural models), neuromorphic systems and full-wave precision
rectification.
Current-mode min–max functions can be obtained from winnertake-all (WTA) circuits [1–4]. In particular, the initial proposal in [1],
due to its simplicity and scalability, has been the starting point for
many min–max circuits in fuzzy logic implementations, such as [5,6]
and subsequent modifications [7,8].
Other min–max circuits [9–12] and rectifiers [13–18] with complex topologies allow to implement two-input min–max current
selection but the area overhead of those proposals would be high
for a compact and simple integration, especially in applications that
require a massively parallel implementation of this function, such
as image focal-plane image processing and other neuromorphic
parallel processing systems.
In this paper, a very compact circuit based on four cross-coupled
MOS transistors that by construction do not require external control elements is introduced. The circuit accurately selects the minimum and maximum of two input currents. Because of its simplicity,
the proposed circuit outperforms other existing two-input currentselection topologies reported up to now. In the next section, the
current switch is introduced and analyzed. The circuit design and
simulations are discussed in Section 3 and the circuit second-order
∗ Corresponding author. Tel.: +34 93 401 67 47; fax: +34 93 401 67 56.
E-mail address: [email protected] (J. Madrenas).
1434-8411/$ - see front matter © 2009 Elsevier GmbH. All rights reserved.
doi:10.1016/j.aeue.2009.07.002
behavior is analyzed in Section 4. Experimental results of the measured cell are disclosed in Section 5, while in Section 6 the current
selector circuit is applied to perform a selective similarity function
to finally conclude in Section 7.
2. The basic circuit
The circuit principle is shown in Fig. 1a. Two cross-coupled switch
pairs detect at any time the minimum and the maximum of two
input currents, I1 and I2 , directing them to IMIN and IMAX output lines,
respectively.
The proposed circuit is shown in Fig. 1b. It simply consists of
the four switch transistors whose gates are connected to the input
nodes. Thus, the switches are self-controlled by detecting voltage at
their inputs, without any extra circuitry required. All transistor sizes
are identical.
For the analysis, the circuit can be interpreted as composed of two
current mirrors with cross-coupled input and output nodes. Mirror
M1A − M2B , controlled by V1 , implements the parallel switches and
mirror M2A − M1B , controlled by V2 , the crossed ones.
2.1. Ideal analysis
For the sake of simplicity, let us set the output voltage VREF =
0 V. Thus, nodes V1 and V2 completely determine the transistors'
operating conditions. Assuming saturated transistors, with no Early
(or channel-length modulation) effect and ideal current mirroring,
and applying the Kirchhoff current law, the only compatible solution
for the circuit is
I1 = ID1A + ID1B = ID1A + ID2A
(1a)
I2 = ID2A + ID2B = ID2A + ID1A = I1
(1b)
872
J. Madrenas et al. / Int. J. Electron. Commun. (AEÜ) 63 (2009) 871 -- 876
2.2. First-order large-signal analysis
I2
In real devices, a small enough input current difference does not
turn off the loser mirror. If the Early effect is taken into account to
obtain the circuit DC input–output characteristic around the equilibrium point, a first-order small-signal analysis leads to the same
condition as Eq. (1), i.e., any I produces the loser mirror to turn off,
because the MOS output resistance r0 in this model is constant. Thus,
large-signal equations have to be used for this analysis to obtain a
more realistic result.
When applying opposite differential currents with I0 commonmode input current as shown in (2), V1 and V2 suffer an opposite variation until the Early effect compensates for the I current
difference
I1
IMIN
IMAX
I1 = I0 +
I2
I1 = I0 −
I1
V2
V1
M1B
M2B
2
I
2
= ID1A + ID1B
(2a)
= ID2A + ID2B
(2b)
Considering the first-order MOS drain current model
ID =
M2A
I
2
(VGS − VT ) (1 + VDS ) = IQ (1 + VDS )
(3)
where is the large-signal transconductance parameter, is the
current-law exponent of the strong inversion MOS transistor ( = 2
for the long-channel model), and is the Early effect parameter.
Substituting (3) into (2), and assuming reduced Early effect and
small I, the following approximate V –I relation between the differential input current and the input voltage is obtained
M1A
I = I1 − I2 = (V1 − V2 )(IQ1 + IQ2 )
I0 (V1 − V2 )
IMIN
IMAX
VREF
VREF
Fig. 1. (a) Circuit principle and (b) NMOS min–max current switch.
=
2
V
r0
(4)
where r0 stands for the transistor output resistance with I0 /2 biasing.
IMAX and IMIN are obtained as
IMAX = ID1A + ID2A =
Thus, input currents have to be necessarily identical (I1 = I2 = I0 ,
where I0 is an arbitrary input current) to accomplish the equation
constraints under those ideal conditions. At this equilibrium point, all
transistors operate under the same electrical conditions and, because
of circuit symmetry, ID1A = ID1B = ID2A = ID2B = I0 /2. Also, since V1 = V2
and VGS = VDS for all transistors, they all operate in the saturation
region, validating the previous assumption. Finally, IMAX = IMIN = I0 .
This implies that the circuit will only operate with all transistors
saturated if I1 = I2 .
Starting from the equilibrium point, let us assume that one of the
inputs slightly increases, e.g., I1 = I0 + I. This rises V1 , because M1A
has to drain now I0 /2 + I. Thus, M2B will in turn drain I0 /2 + I.
This leaves M2A draining less current, I0 /2 − I, reducing V2 and the
current drained by M1B also down to I0 /2 − I. This produces a new
increase in the M1A current to I0 /2 + 2I, and this positive-feedback
loop will continue until mirror transistors M1A −M2B drain I1 =I0 + I
and I2 = I0 , respectively, while M2A − M1B turn off, regardless of the
I value. Notice also that, with no Early effect, M2B has to operate
in linear region to drain smaller current than M1A . Conversely, when
I1 < I2 , M2A and M1B will drain I2 and I1 , respectively, while mirror
M1A − M2B turns off. Summarizing, in a WTA-like competition, the
mirror whose diode-connected transistor receives the largest current
will finally drive both input currents and turn off the complementary
mirror. In both cases, the larger input current is routed to the IMAX
output and the smaller one, to IMIN .
2
[(V1 − VT ) (1 + V1 )
+ (V2 − VT ) (1 + V2 )]
IMIN = ID1B + ID2B =
2
(5a)
[(V2 − VT ) (1 + V1 )
+ (V1 − VT ) (1 + V2 )]
(5b)
Subtracting expressions (5), and assuming small input voltage variations,
IMAX − IMIN gm V 2
(6)
where gm is the transistor transconductance for I0 /2 biasing. Substituting (4) into (6), the differential output current is obtained as a
function of the differential input current,
IMAX − IMIN gm r0 I2
A0 I2
=
2 I0
2 I0
(7)
where A0 = gm r0 is the transistor intrinsic gain. Since IMAX − IMIN
is parabolic around the equilibrium point, because of symmetry
considerations, IMAX and IMIN will also be parabolic around it. The
first derivative of a parabolic expression is only 0 at its minimum.
This result confirms that the circuit performs with the continuous
derivative of a real system a good approximation of the desired
peak shape.
J. Madrenas et al. / Int. J. Electron. Commun. (AEÜ) 63 (2009) 871 -- 876
2.0
873
IMAX
IMIN
1.8
1.6
Current (uA)
1.4
1.2
1
0.8
0.6
0.4
0.2
0.0
-2.0
-1.5
-1.0
-0.5
0
0.5
Differential current (uA)
1.0
1.5
2.0
Fig. 2. DC input–output characteristic. Inset: zoom of the crossing point.
(b) Closed-loop gain smaller than unity: AI = (1 + 1 )(1 + 2 ) < 1
3. Circuit design and simulation
Fig. 2 shows simulated results of the circuit DC input–output
current behavior for a differential-input I linear variation: I1 sweeps
from 0 to 2 A while I2 spans from 2 A down to 0 A at the same
time. As it can be observed, high-precision current rectification is
obtained. A zoom inset shows the parabolic shape of IMAX and IMIN
around the crossing point as calculated in (7).
A 50-iteration Monte Carlo simulation indicates that for input
currents with a crossing point at I0 = 1 A, the standard deviation
of circuit offset is 64 nA, using the error parameters specified by the
manufacturer.
4. Second-order effects
Device non-idealities, mainly transistor mismatch, can produce
several variations as compared to the ideal current selector. Different
behaviors can be observed considering three possible error sources
of the cross-coupled mirrors: different current gain and VT and VREF
mismatch.
1. Closed-loop current gain different than unity. In (8), the current
gain of mirrors M1A − M2B and M2A − M1B is expressed including
error parameters 1 and 2 :
ID2B = ID1A (1 + 1 )
(8a)
ID1B = ID2A (1 + 2 )
(8b)
If 1 0 and/or 2 0, the following cases and their effects can be
considered:
(a) Closed-loop gain higher or equal to unity: AI = (1 + 1 )(1 +
2 ) ⱖ 1
• Errors with different sign: sign(1 ) = −sign(2 ). An input
offset current arises.
• Errors with the same sign: sign(1 ) = sign(2 ). Switch hysteresis appears.
• Peak shape flattening: The corners of the peaks become
rounded so that IMIN does not reach IMAX when input currents cross each other.
2. Threshold voltage (VT ) mismatch: input offset current.
3. VREF difference between output nodes: input offset current.
Cases 1 and 2 produce similar offset effects because in both cases
the effective transistors' VGS is modified.
The non-ideal effects can be reduced by proper sizing and layout
design techniques. Also, it is worth to mention that, in some cases,
some degree of hysteresis or peak flattening could be of interest for
a given application and can be intentionally applied by appropriate
transistor sizing.
5. Experimental results
A PMOS version of the min–max current selector has been designed and manufactured in a 0.35 m technology. All transistor sizes
are W = 0.6 m, L = 0.6 m. Experimental measurements show good
agreement with simulations.
Fig. 3 shows a DC sweep of the input currents as in the simulation
of Fig. 2. The center of the figure has been zoomed to highlight
the error at the crossing point. As it can be seen, a 70 nA offset
arises near that point. It is presumably produced by different current
mirror gains, VT mismatch or VREF difference between output nodes.
Besides offset, the predicted effects of peak flattening and hysteresis
have also been experimentally observed in manufactured samples.
These two effects may arise when current gain of mirrors is different
than unity and they can be reduced by applying proper mismatch
reduction techniques in the current mirrors, for instance increasing
sizes and/or using common-centroid structures.
Several dynamic measurements have also been carried out. As
shown in Fig. 4, the current selector circuit correctly follows the input currents. The crossing point, the most critical, has been measured
to have a settling time at least smaller than 10 s, since internal pad
874
J. Madrenas et al. / Int. J. Electron. Commun. (AEÜ) 63 (2009) 871 -- 876
1.6
IMIN
IMAX
1.5
1.4
MMAX
IMIN
1.3
Current (uA)
VDD
MMIN
1.2
IMAX
VMIN
VMAX
1.1
1
0.9
M2A
0.8
M1B
M2B
M1A
0.7
0.6
-0.8
-0.6
-0.4
-0.2
0
0.2
0.4
0.6
0.8
Differential current (uA)
V2
M2
M1
V1
Fig. 3. Measurement of the DC input–output characteristic. A zoom has been performed to enlarge the 70 nA current offset effect.
I0
VSS
1
Fig. 5. Selective similarity circuit. The min–max current selector circuit is embedded
into the differential amplifier.
Current (uA)
0.9
IMIN
IMAX
0.8
2.5
0.7
0.6
2
0.4
-0.8
-0.6
-0.4
-0.2
0
Time (us)
0.2
0.4
0.6
Fig. 4. Measurement of the transient input–output characteristic around the crossing
point.
capacitances limit the measurement speed. The small overlapped
oscillations are due to the off-chip I/V conversion measurement circuit dynamics. Simulations indicate that switching delay after inputs
crossing is about 100 ns for a 4 A/ s linear variation of the input
currents.
6. Circuit application: selective similarity cell
An application example where a massive number of two-input
min–max circuits is required is a neuromorphic system that performs
gray-level image segmentation using coupled oscillators [19,20]. In
this application, a function of the similarity of two neighbor pixels is required. This function has to deliver maximal response when
two input currents are equal and progressively reduce its value as
the inputs differ. In order to improve selectivity, a peak-shape response is targeted, so that it is maximal when the pixels' brightness is
equal and progressively decreases as it becomes dissimilar [21]. In a
focal-plane, parallel implementation of the algorithm on a CMOS
photodetector array, two such functions are required per pixel. Thus,
a compact implementation of min–max selectors becomes a key
feature.
Current (uA)
0.5
1.5
IMIN
IMAX
1
0.5
0
-0.25 -0.2 -0.15 -0.1 -0.05 0 0.05 0.1 0.15 0.2 0.25
Differential Voltage (V)
Fig. 6. Experimental DC input–output characteristic of the similarity circuit.
In Fig. 5, a PMOS version of the min–max current selector (in the
center of the figure) is connected to the branches of a differential
pair amplifier, loaded with diode-connected transistors. This circuit
performs a peak-shaped function, as shown in the DC experimental
measurement of Fig. 6.
The output current of each branch is represented as a function of
the applied differential input voltage sweep applied. The well-known
differential pair V –I characteristic is rectified so that complementary
peak-shaped functions are obtained. The functions, as desired in the
application, saturate near the supply levels.
In Fig. 7a, the optical microphotograph of the layout is shown.
Since the number of metal layers does not allow appreciating the full
layout, the designed layer figure is shown in Fig. 7b. The 4-transistor
current selector is at the bottom of both figures, while the differential
pair and current source are located at the left-hand side.
J. Madrenas et al. / Int. J. Electron. Commun. (AEÜ) 63 (2009) 871 -- 876
875
crossing point error below 70 nA is obtained. Results show good DC
and transient behavior.
The circuit has been successfully used in a selective similarity
function cell with satisfactory experimental results. Other possible
signal processing applications of the proposed current selector are
current-mode minimum–maximum detection and full-wave differential precision rectifying.
Acknowledgments
This work has been partially funded by Projects TEC200767144/MIC and TEC2008-06028. Daniel Fernández and Luis
Martínez-Alvarado hold a research fellowship supported by the
Catalan DURSI and the European Social Fund. The authors wish to acknowledge the valuable comments from the anonymous reviewers.
References
Fig. 7. Layout of the min–max current selector and selective similarity circuit: (a)
microphotograph and (b) designed layout.
7. Conclusion
A compact, self-biased and self-controlled 4-transistor minimum–
maximum current detector has been presented. No extra control
hardware is required due to the fact that the input nodes are used
as control terminals. The small number of transistors and the absence of control circuit guarantee very low power consumption to
perform the function. The positive feedback provides very precise
switching at the crossing point, where all transistors operate in
saturation, which guarantees fast switching.
The circuit layout has been manufactured and experimentally
measured. Even with reduced transistor size and low currents, a
[1] Lazzaro J, Ryckebusch S, Mahowald MA, Mead CA. Winner-take-all networks of
O(N) complexity. In: Touretzky DS, editor. Advances in neural signal processing
systems. Los Altos, CA: Morgan Kaufmann; 1989. p. 703–11.
[2] Opris I. Rail-to-rail multiple-input min/max circuit. IEEE Transactions on Circuits
and Systems II: Analog and Digital Signal Processing 1998;45:137–40.
[3] Serrano-Gotarredona T, Linares-Barranco B. A high-precision current-mode
WTA-MAX circuit with multichip capability. IEEE Journal of Solid-State Circuits
1998;33:280–6.
[4] Ramirez-Angulo J, Ducoudray-Acevedo G, Carvajal R, Lopez-Martin A. Lowvoltage high-performance voltage-mode and current-mode WTA circuits based
on flipped voltage followers. IEEE Transactions on Circuits and Systems II:
Express Briefs 2005;52:420–3.
[5] Baturone I, Huertas J, Barriga A, Sanchez-Solano S. Current-mode multiple-input
max circuit. Electronics Letters 1994;30(9):678–80.
[6] Amirkhanzadeh R, Khoei A, Hadidi K. A mixed-signal current-mode fuzzy logic
controller. AEU – International Journal of Electronics and Communications
2005;59:177–84.
[7] Huang C, Liu B. Current-mode multiple input maximum circuit for fuzzy logic
controllers. Electronics Letters 1994;30:1924–5.
[8] Yu G, Liu B, Huang C. Bi-directional current-mode multiple input maximum
circuit. In: Proceedings of the second IEEE Asia Pacific conference on ASICs.
2000. p. 41–4.
[9] Tsukano K, Inoue T, Ueno F. A design of current-mode analog circuits for
fuzzy inference hardware systems. IEEE international symposium on circuits
and systems, vol. 2, 1993. p. 1385–8.
[10] Mesgarzadeh B. A CMOS implementation of current-mode min–max circuits and
a sample fuzzy application. In: Proceedings of the IEEE international conference
on fuzzy systems, vol. 2, 2004. p. 941–6.
[11] Sasaki M, Inoue T, Shirai Y, Ueno F. Fuzzy multiple input maximum and
minimum circuits in current mode and their analyses using bounded difference
equations. IEEE Trans Comput 1990;39(6):768–74.
[12] Demosthenous A, Smedley S, Taylor J. A CMOS analog winner-take-all network
for large-scale applications. IEEE Transactions on Circuits and Systems I
1998;45:300–4.
[13] Ramirez-Angulo J, Carvajal R, Tombs J, Torralba A. Very low-voltage class AB
CMOS and bipolar precision current rectifiers. Electronics Letters 1999;35:
1904–5.
[14] Jun S, Ahn SJ. CMOS precision half-wave rectifying transconductor. Proceedings
of the IEEE international symposium on circuits and systems, vol. 3, 1998.
p. 659–62.
[15] Poikonen J, Paasio A. An area-efficient full-wave current rectifier for analog
array processing. Proceedings of the IEEE international symposium on circuits
and systems, vol. 5, 2003. p. V757–60.
[16] Heim P, Krummenacher F, Vittoz E. CMOS full-wave operational transconductance rectifier with improved DC transfer characteristic. Electronics
Letters 1992;28:333–4.
[17] Wang Z. Novel pseudo RMS current converter for sinusoidal signals using a
CMOS precision current rectifier. IEEE Transactions on Instrumentation and
Measurement 1990;39:670–1.
[18] Hosny MS, Hanson J. A wide-band, high-precision CMOS rectifier. Analog
Integrated Circuits and Signal Processing 1994;5:183–90.
[19] Cosp J, Madrenas J. Scene segmentation using neuromorphic oscillatory
networks. IEEE Transactions on Neural Networks 2003;14:1278–96.
[20] Cosp J, Madrenas J, Fernandez D. Design and basic blocks of a neuromorphic
VLSI analogue vision system. Neurocomputing 2006;69:1962–70.
[21] Madrenas J, Fernandez D, Cosp J, Alarcon E, Vidal E, Villar G. Selective similarity
function for VLSI analog signal processing. IEEE international symposium on
circuits and systems, vol. 4, 2005. p. 3926–9.
876
J. Madrenas et al. / Int. J. Electron. Commun. (AEÜ) 63 (2009) 871 -- 876
Jordi Madrenas received the M.Sc. and the Ph.D.
degrees in Telecommunication Engineering from the
Technical University of Catalunya (UPC), Barcelona,
Spain, in 1986 and 1991, respectively. He is currently an Associate Professor at the Department
of Electronic Engineering, UPC. Between 2000 and
2003 he was the Vice-Dean of Studies of the
Telecommunication Engineering School of Barcelona,
UPC. He has participated in several European and
Spanish National Research Projects. Currently he coordinates a National Research Project on microsensor conditioning and bioinspired signal processing
and he has co-authored more than 90 scientific papers in journals and conference proceedings and five
book chapters. His research interests include analog, mixed-signal and digital VLSI
and FPGA design, e-beam testing, bioinspired neural and neuromorphic systems
implementation, focal-plane image segmentation, field-programmable mixed-signal
arrays and MEMS conditioning.
Daniel Fernández was born in Barcelona, Spain, in
1979. He received the M.Sc. degree in Telecommunication Engineering and the Master in Business Administration degree from the Technical University
of Catalonia, UPC, in 2004 and 2009, respectively.
In 2005 he joined the Advanced Hardware Architectures Group and he was awarded with a four-year
FI Research Fellowship for pursuing a doctorate, receiving the Ph.D. degree from UPC, with honors, in
2008. Since then he is working as a Researcher at
the Electronic Engineering Department, UPC, in the
fields of CMOS surface micromachining, circuits and
control architectures for MEMS electrostatic actuators, translinear circuits for analog signal processing
and digital implementation of power converters.
Jordi Cosp received both the M.Sc. and the Ph.D. degrees (with honors) in Telecommunication Engineering from the Universitat Politecnica de Catalunya
(UPC) in Barcelona, Spain, in 1995 and 2002 respectively. During the period 1997–2000 he held a FI
Research Fellowship at the Department of Electronic
Engineering, UPC. In 2000 he became an Assistant
Professor at UPC. He has participated in several European and National Research Projects in the last
years. His research interests include neuromorphic
engineering, MEMS signal conditioning, analog and
digital VLSI design, nonlinear oscillators and image
processing implementation schemes.
Luis Martínez-Alvarado was born in México, in
1976. He received the B.Sc. degree in Electronic
Engineering from Mexicali Institute of Technology
and the M.Sc. degree in Electronic Design from
CINVESTAV Guadalajara, México, in 1999 and 2002
respectively. He is currently working in his Ph.D. degree at the Technical University of Catalonia in the
Advanced Hardware Architecture Group. His main
interest areas are reconfigurable mixed-signal systems, MEMS sensor conditioning and mixed-signal
system high-level modeling.
Eduard Alarcón received the M.Sc. (national award)
and the Ph.D. degrees in Electrical Engineering
from the Technical University of Catalunya (UPC),
Barcelona, Spain, in 1995 and 2000, respectively.
Since 1995 he has been with the Department of
Electronic Engineering at the Technical University
of Catalunya, where he became an Associate Professor in 2000. From August 2003 to January 2004,
he was a Visiting Professor at the CoPEC Center,
University of Colorado at Boulder, USA. He has
co-authored more than 130 international scientific
publications, three book chapters and two patents,
and has been involved in different national and US
R&D projects. His current research interests include
the areas of analog and mixed-signal integrated circuits, on-chip power management
circuits, wireless energy transfer and nanonetworks. He was a recipient of the Myril
B. Reed Best Paper Award at the 1998 IEEE Midwest Symposium on Circuits and
Systems. He served as an Associate Editor of the IEEE Transactions on Circuits and
Systems – II: Express Briefs (2006–2007) and currently serves as an Associate Editor
of the Transactions on Circuits and Systems – I: Regular Papers (2006–2009).
Eva Vidal received her M.Sc. and Ph.D. degrees (both
with honors) in Electrical and Electronics Engineering (Master in Telecommunications) from the Universitat Politècnica de Catalunya in Barcelona, Spain,
in 1993 and 1998, respectively. During the period
1993–1994 she was an Assistant Professor at the Department of Electronics Engineering of the Universitat Rovira i Virgili of Tarragona. From 1994 to 1998
she was an Assistant Professor at the Department of
Electronics Engineering of the Telecommunication
Engineering School of Barcelona, where she became
a full-time Associate Professor in December 1998.
Her research focuses in the area of analog circuit design with emphasis in analog microelectronics and
particular interest in current-mode design, automating tuning design, analog baseband circuits, wireless transceiver architectures and nonlinear analysis of oscillators.
She has authored or co-authored about 50 scientific papers in journals and conference proceedings and was the invited co-editor of a special issue of the Analog
Integrated Circuits and Signal Processing Journal devoted to current-mode circuit
techniques.
Gerard Villar received his M.Sc. in the Technical University of Catalonia in 2001, and his Ph.D. in November 2007, at the same university. In April 2008 he
became a Research Scientist at the Mixed-Signal Circuits and Systems Group, of the Research Division
of NXP Semiconductors, where he has been working on integrated power management systems. His
main research areas include mixed-signal and analog microelectronics design, as well as power management systems (including switched-mode power
supplies).