Publication

How does one compute the noise power to simulate real and complex GNSS signals?

Related publications (133)

Clock jitter estimation in noise

Clock timing jitter refers to random perturbations in the sampling time in analog-to-digital converters (ADCs). The perturbations are caused by circuit imperfections in the sampling clock. This paper analyzes the effect of sampling clock jitter on the acqu ...

IEEE2011

Device and method for capturing and processing voice

Hervé Lissek, Xavier Falourd, Patrick Marmaroli, Philippe Martin

A portable voice capture device comprising: an orientable arm with a first differential array of microphones comprising at least one pair of microphones, the directivity of said first array being arranged for sensing voice from a first direction depending ...

2011

Performance of Self-Seeded Parametric Multicasting of Analog Signals

Camille Sophie Brès

We present noise and distortion measurements of multicast copies generated in a self-seeded parametric mixer. Linear mixer operation is achieved by distortion-free Brillouin suppression resulting in high signal-to-noise and distortion-ratio (SINAD) wavelen ...

Institute of Electrical and Electronics Engineers2011

Resonances arising from hydrodynamic memory in Brownian motion

László Forró, Flavio Maurizio Mor, Giuseppe Foffi, Sylvia Jeney, Maxim Belushkin, Matthias Grimm

Observation of the Brownian motion of a small probe interacting with its environment provides one of the main strategies for characterizing soft matter. Essentially, two counteracting forces govern the motion of the Brownian particle. First, the particle i ...

2011

Frequency domain compensation of spurious sidebands in A/D circuits

Ali H. Sayed

In a non-ideal PLL circuit, leakage of the reference signal into the control line produces spurious tones. When the distorted PLL signal is used as a clock signal, it creates spurious tones in the sampled data. Our prior work used a training signal to esti ...

IEEE2011

Optimal combination rules for adaptation and learning over networks

Ali H. Sayed

Adaptive networks, consisting of a collection of nodes with learning abilities, are well-suited to solve distributed inference problems and to model various types of self-organized behavior observed in nature. One important issue in designing adaptive netw ...

IEEE2011

Low-noise amplifier with sample & hold for high-density stimulation and recording of neural signals

Pierre-André Farine, Steve Tanner, Urs Alexander Müller

In this paper, the design of a low-noise amplifier (LNA) for a 32x32 pixel microelectrode array (MEA) is presented. Its gain and noise amount to 50 dB and 10 μVrms, respectively, at a bandwidth of 66 kHz. The LNA consumes less than 85 μW. The integrated of ...

2011

RF current drive and plasma fluctuations

Stefano Coda, Joan Decker

The role played by electron density fluctuations near the plasma edge on rf current drive in tokamaks is assessed quantitatively. For this purpose, a general framework for incorporating density fluctuations in existing modelling tools has been developed. I ...

Institute of Physics2011

Dynamic hair capture

Mark Pauly, Hao Li

The realistic reconstruction of hair motion is challenging because of hair’s complex occlusion, lack of a well-defined surface, and non-Lambertian material. We present a system for passive capture of dynamic hair performances using a set of high-speed vide ...

Tech. Rep. Technical Report TR-907-11, Princeton University2011

Multichannel Sampling of Signals With Finite Rate of Innovation

Loïc Arnaud Baboulaz, Pier Luigi Dragotti

In this letter, we present a possible extension of the theory of sampling signals with finite rate of innovation (FRI) to the case of multichannel acquisition systems. The essential issue of a multichannel system is that each channel introduces different u ...

2010

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