LCAV

Laboratory active in computational geometry, functional analysis and signal processing.

Laboratory active in approximation theory, image processing and medical imaging.

Laboratory active in data processing, geometry exploration and large scale graph mining.

Laboratory active in image processing, machine learning and graph signal processing.

Laboratory active in general machine learning, control theory and artificial neural networks.

Laboratory active in image analysis, medical imaging and signal processing.

Laboratory active in artificial intelligence, machine learning and signal processing.

Laboratory active in machine learning, optimization and signal processing.

Laboratory active in transportation, modeling and optimization.

Laboratory active in control system, empirical economics and multivariate statistics.

Center active in energy research, education programs and collaborative projects.

Laboratory active in neuroimaging, brain function and data processing.

Group active in multimedia signal processing, media security and image and video analysis.

Teacher, working on cell biology

Engineer, working on acoustical engineering, otorhinolaryngology

Teacher, working on computer graphics, data analysis, data collection

Head of group, working on signal processing

Employee, working on computer networks, signal processing, optics

Master's thesis in acoustics: development of an active meta-transmission line

Scientific assistant, working on optics, technical geography, aerospace engineering

Teacher, working on probability theory, signal processing

Professor, working on signal processing, analysis, theory of computation

I appeared about at the same time as the White Album and, upon being born, I immediately took the one and only sabbatical of my life, which lasted a leisurely four years. I then proceeded to be pre-schooled, schooled, middle- and high-schooled, college educated, and finally grad-schooled here at EPFL. As a kid I was fascinated by those expensive long-distance phone calls and so I specialized in communication systems. And then I did this and I did that. But do we really want to go into details? I thought so.

Vice president, working on signal processing, algorithms and data structures, hardware engineering

Researcher, working on signal processing, machine learning, analysis

Professor, working on signal processing, analysis, data analysis

Professor, working on data analysis, statistical inference, telecommunications

In signal processing, sampling is the reduction of a continuous-time signal to a discrete-time signal.

In statistics, quality assurance, and survey methodology, sampling is the selection of a subset or a statistical sample (termed sample for short) of individuals from within a statistical population to estimate characteristics of the whole population.

Digital signal processing (DSP) is the use of digital processing, such as by computers or more specialized digital signal processors, to perform a wide variety of signal processing operations.

In signal processing, a signal is a function that conveys information about a phenomenon.

In numerical analysis and functional analysis, a discrete wavelet transform (DWT) is any wavelet transform for which the wavelets are discretely sampled.

In mathematics, the discrete Fourier transform (DFT) converts a finite sequence of equally-spaced samples of a function into a same-length sequence of equally-spaced samples of the discrete-time Fourier transform (DTFT), which is a complex-valued function of frequency.

A wavelet is a wave-like oscillation with an amplitude that begins at zero, increases or decreases, and then returns to zero one or more times.

Signal processing is an electrical engineering subfield that focuses on analyzing, modifying and synthesizing signals, such as sound, , potential fields, seismic signals, altimetry processing, and scientific measurements.

The Nyquist–Shannon sampling theorem is an essential principle for digital signal processing linking the frequency range of a signal and the sample rate required to avoid a type of distortion called aliasing.

In physics and mathematics, the Fourier transform (FT) is a transform that converts a function into a form that describes the frequencies present in the original function.

Quantization, in mathematics and digital signal processing, is the process of mapping input values from a large set (often a continuous set) to output values in a (countable) smaller set, often with a finite number of elements.

In mathematics, a wavelet series is a representation of a square-integrable (real- or complex-valued) function by a certain orthonormal series generated by a wavelet.

In signal processing and related disciplines, aliasing is the overlapping of frequency components resulting from a sample rate below the Nyquist frequency.

In information theory, data compression, source coding, or bit-rate reduction is the process of encoding information using fewer bits than the original representation.

In statistics, stratified sampling is a method of sampling from a population which can be partitioned into subpopulations.

In signal processing, a filter bank (or filterbank) is an array of bandpass filters that separates the input signal into multiple components, each one carrying a single frequency sub-band of the original signal.