Estudio morfológico y taxonómico de los ampulláridos de la República Argentina: Maria Isabel Hylton Scott. [tomado de la Revista del Museo Argentino de Ciencias Naturales “Bernardino Rivadavia”, Ciencias Zoologicas, Tomo III, nº 5, 1957.]

Corría 1968. Yo era un estudiante enamorado de las ampularias, y alguien me regaló una separata del trabajo de María Isabel Hylton Scott titulado “Estudio morfológico y taxonómico de los ampulláridos de la República Argentina”. Hoy soy un profesor e investigador jubilado, … enamorado de las ampularias ¿Qué pasó en el medio? Por diversas circunstancias de mi vida comencé mi carrera estudiando roedores. Pero como canta un tango, “siempre se vuelve al primer amor” y dos décadas después (hacia 1990) conseguí algo de financiación para estudiar uno de estos extraordinarios animales: Pomacea canaliculata. Esto fue para mí un nuevo comienzo: poco a poco fui dejando mis estudios en ratones silvestres, y formando un grupo dedicado a esta ampularia ¡Fue un cambio de phylum! Pecado difícilmente perdonable en un ambiente científico cada vez más competitivo, pero que me llenó de satisfacción, por lo que me felicito de haberlo cometido. Desde entonces he dirigido a siete doctorandos en distintos aspectos de la morfología y la ecofisiología de este animal (Albrecht, 1998; Vega, 2005; Gamarra-Luques, 2007; Koch, 2008; Giraud-Billoud, 2009; Cueto, 2011; Giraud-Billoud, 2011), y sus tesis tienen al menos dos cosas en común: P. canaliculata casi siempre en el título, y el trabajo de Hylton Scott (1957) siempre citado en la bibliografía. Ella, “la doctora”, la “decana de los zoólogos argentinos” (como escribió Cazzaniga, 1991) fue para nosotros, atrevidos que no la conocimos personalmente, a quien llamábamos por sobrenombre “Doña Marisa”, y lo seguimos haciendo. Lo sigo haciendo yo, porque aunque jubilado “en los papeles”, sigo trabajando detrás de sus pasos. Hoy tengo un doctorando (C. Rodríguez) trabajando en P. canaliculata , el octavo de mis tesistas en esta especie, y deseo que no sea el último. Una revisión de la biología de ampuláridos actualmente en prensa en Malacologia (Hayes et al., 2015) cita repetidas veces el trabajo que hoy reedita ProBiota. Los autores provienen de un amplio “mundo”, porque “el mundo” de los ampuláridos se ha extendido antropocóricamente a lo que hoy es Estados Unidos, Europa, China y Japón. Esto no lo podría haber soñado Doña Marisa cuando comenzó sus pacientes estudios de la embriología de P. canaliculata hace ochenta años (Hylton Scott, 1934). Y si algún cientómetra quisiera calcular la vida media de sus citas, se encontraría con algo sorprendente: que la curva temporal de éstas no va decayendo ¡sino creciendo! Hoy no puedo imaginarme a mí mismo, como investigador, si no me hubiera topado con esa separata de cien páginas, escritas en un castellano elegante y hoy amarillentas, a las que guardo como un tesoro (porque las que usamos son sus fotocopias). Por eso, al acercarse los 25 años de la muerte de esta gran cordobesa (y platense por adopción) le propuse a mi amigo Hugo L. López esta reedición, que el aceptó con entusiasmo. Y también le propuse a mi alumno G. I. Prieto, excelente dibujante, que le diera nueva vida a una vieja foto de Doña Marisa que fue publicada por Cazzaniga (1992). Los que conocieron a “la doctora” personalmente, podrán decir si Prieto logró revivir su penetrante mirada. Creo que sí. Alfredo Castro-Vazquez

Asymmetric quantizers are better at low SNR

We study the behavior of channel capacity when a one-bit quantizer is employed at the output of the discrete-time average-power-limited Gaussian channel. We focus on the low signal-to-noise ratio regime, where communication at very low spectral efficiencies takes place, as in Spread-Spectrum and Ultra-Wideband communications. It is well known that, in this regime, a symmetric one-bit quantizer reduces capacity by 2/π, which translates to a power loss of approximately two decibels. Here we show that if an asymmetric one-bit quantizer is employed, and if asymmetric signal constellations are used, then these two decibels can be recovered in full. © 2011 IEEE.

Nearest neighbour decoding and pilot-aided channel estimation in stationary Gaussian flat-fading channels

We study the information rates of non-coherent, stationary, Gaussian, multiple-input multiple-output (MIMO) flat-fading channels that are achievable with nearest neighbour decoding and pilot-aided channel estimation. In particular, we analyse the behaviour of these achievable rates in the limit as the signal-to-noise ratio (SNR) tends to infinity. We demonstrate that nearest neighbour decoding and pilot-aided channel estimation achieves the capacity pre-logwhich is defined as the limiting ratio of the capacity to the logarithm of SNR as the SNR tends to infinityof non-coherent multiple-input single-output (MISO) flat-fading channels, and it achieves the best so far known lower bound on the capacity pre-log of non-coherent MIMO flat-fading channels. © 2011 IEEE.

Increased capacity per unit-cost by oversampling

It is demonstrated that doubling the sampling rate recovers some of the loss in capacity incurred on the bandlimited Gaussian channel with a one-bit output quantizer. © 2010 IEEE.

Gaussian fading is the worst fading

The capacity of peak-power limited, single-antenna, noncoherent, flat-fading channels with memory is considered. The emphasis is on the capacity pre-log, i.e., on the limiting ratio of channel capacity to the logarithm of the signal-to-noise ratio (SNR), as the SNR tends to infinity. It is shown that, among all stationary and ergodic fading processes of a given spectral distribution function and whose law has no mass point at zero, the Gaussian process gives rise to the smallest pre-log. The assumption that the law of the fading process has no mass point at zero is essential in the sense that there exist stationary and ergodic fading processes whose law has a mass point at zero and that give rise to a smaller pre-log than the Gaussian process of equal spectral distribution function. An extension of these results to multiple-input single-output (MISO) fading channels with memory is also presented. © 2006 IEEE.

Is the assumption of perfect channel-state information in fading channels a good assumption?

Fading channels, which are used as a model for wireless communication, are often analyzed by assuming that the receiver is aware of the realization of the channel. This is commonly justified by saying that the channel varies typically slowly with time, and the receiver is thus able to estimate it. However, this assumption is optimistic, since it is prima facie not clear whether the channel can be estimated perfectly. This paper investigates the quality of this assumption by means of the channel capacity. In particular, results on the channel capacity of fading channels are presented, both when the receiver is aware of the realization of the channel and when it is aware only of its statistics. A comparison of these results demonstrates that information- theoretic analyses of fading channels that are based on the assumption that the receiver is aware of the channel's realization can yield helpful insights, but have to be taken with a pinch of salt. ©2009 IEEE.

Channels that heat up

This paper considers an additive noise channel where the time-κ noise variance is a weighted sum of the squared magnitudes of the previous channel inputs plus a constant. This channel model accounts for the dependence of the intrinsic thermal noise on the data due to the heat dissipation associated with the transmission of data in electronic circuits: the data determine the transmitted signal, which in turn heats up the circuit and thus influences the power of the thermal noise. The capacity of this channel (both with and without feedback) is studied at low transmit powers and at high transmit powers. At low transmit powers, the slope of the capacity-versus-power curve at zero is computed and it is shown that the heating-up effect is beneficial. At high transmit powers, conditions are determined under which the capacity is bounded, i.e., under which the capacity does not grow to infinity as the allowed average power tends to infinity. © 2009 IEEE.