Publications associées à Comparison of analog and digital recording

Bearing estimation via spatial sparsity using compressive sensing

Bearing estimation algorithms obtain only a small number of direction of arrivals (DOAs) within the entire angle domain, when the sources are spatially sparse. Hence, we propose a method to specifically exploit this spatial sparsity property. The method us ...

Institute of Electrical and Electronics Engineers2012

Structured Sparse Coding for Microphone Array Location Calibration

Hervé Bourlard, Volkan Cevher, Afsaneh Asaei

We address the problem of microphone location cali- bration where the sensor positions have a sparse spatial approximation on a discretized grid. We characterize the microphone signals as a sparse vector represented over a codebook of multi-channel signals ...

2012

Structured Sparse Coding for Microphone Array Location Calibration

Hervé Bourlard, Volkan Cevher, Afsaneh Asaei

We address the problem of microphone location calibration from a sparse coding perspective where the sensor positions are approximated over a discretized grid. We characterize the microphone signals as a sparse vector represented over a codebook of multi-c ...

2012

A Time-Resolved, Low-Noise Single-Photon Image Sensor Fabricated in Deep-Submicron CMOS Technology

Edoardo Charbon, John Richard Walker, Marek Gersbach, Matthew Fishburn

We report on the design and characterization of a novel time-resolved image sensor fabricated in a 130 nm CMOS process. Each pixel within the 32x32 pixel array contains a low-noise single-photon detector and a high-precision time-to-digital converter (TDC) ...

2012

A 16-channel 220 µW neural recording IC with embedded delta compression

Alexandre Schmid, Yusuf Leblebici, Vahid Majidzadeh Bafar

A 16-channel neural action potential recording IC suitable for large-scale integration with multi-electrode arrays (MEAs) is presented. A closed-loop gain of 60 dB in the action potential band is achieved by cascading differential gain-stages utilizing a n ...

2011

Sparse stereo image coding with learned dictionaries

Pascal Frossard, Ivana Tosic, Dimitri Palaz

This paper proposes a framework for stereo image coding with effective representation of geometry in 3D scenes. We propose a joint sparse approximation framework for pairs of perspective images that are represented as linear expansions of atoms selected fr ...

2011

Multi-party Speech Recovery Exploiting Structured Sparsity Models

Hervé Bourlard, Volkan Cevher, Afsaneh Asaei, Mohammadjavad Taghizadeh

We study the sparsity of spectro-temporal representation of speech in reverberant acoustic conditions. This study motivates the use of structured sparsity models for efficient recovery of speech. We formulate the underdetermined convolutive speech separati ...

Idiap2011

Multi-party Speech Recovery Exploiting Structured Sparsity Models

Hervé Bourlard, Volkan Cevher, Afsaneh Asaei, Mohammadjavad Taghizadeh

We study the sparsity of spectro-temporal representation of speech in reverberant acoustic conditions. This study motivates the use of structured sparsity models for efﬁcient speech recovery. We formulate the underdetermined convolutive speech separation i ...

2011

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Comparison of analog and digital recording

Bearing estimation via spatial sparsity using compressive sensing

Structured Sparse Coding for Microphone Array Location Calibration

Structured Sparse Coding for Microphone Array Location Calibration

A Time-Resolved, Low-Noise Single-Photon Image Sensor Fabricated in Deep-Submicron CMOS Technology

A 16-channel 220 µW neural recording IC with embedded delta compression

Sparse stereo image coding with learned dictionaries

Reducing spurious PLL tones in spectrum sensing architectures

Clock jitter estimation in noise

Multi-party Speech Recovery Exploiting Structured Sparsity Models

Multi-party Speech Recovery Exploiting Structured Sparsity Models

Graph Chatbot

Chattez avec Graph Search

Structured Sparse Coding for Microphone Array Location Calibration

Reducing spurious PLL tones in spectrum sensing architectures

A 16-channel 220 µW neural recording IC with embedded delta compression

Clock jitter estimation in noise

A Time-Resolved, Low-Noise Single-Photon Image Sensor Fabricated in Deep-Submicron CMOS Technology

Bearing estimation via spatial sparsity using compressive sensing

Structured Sparse Coding for Microphone Array Location Calibration

Multi-party Speech Recovery Exploiting Structured Sparsity Models

Multi-party Speech Recovery Exploiting Structured Sparsity Models

Sparse stereo image coding with learned dictionaries