Publications related to Spectral Noise Shaping: Improvements in Speech/Audio Codec Based on Linear Prediction in Spectral Domain

Subthreshold Current-Mode Delta-Sigma Quantizer with 3-Decade Scalable Sampling Rate and pico-Ampere Range Resolution

A current-mode

\Delta\Sigma

analog-to-digital data converter (ADC) for biomedical readout front-end systems is being presented. The core of this circuit is a current-controlled ring oscillator (CCO) whose oscillation frequency is proportional to the inpu ...

2010

Low Distortion Multicasting of an Analog Signal by Self-Seeded Parametric Mixer

Camille Sophie Brès

We present a linear multicast of an analog signal in a two-pump self-seeded parametric device. The linearity of the parametric multicasting is assessed by two-tone measurements of the third-order intermodulation products and radio-frequency spectral analys ...

Institute of Electrical and Electronics Engineers2010

Analysis of pulse modulation format in coded BOTDA sensors

Marcelo Alfonso Soto Hernandez

A theoretical and experimental analysis of the impact of pulse modulation format on Brillouin optical time-domain analysis (BOTDA) sensors using pulse coding techniques has been carried out. Pulse coding with conventional non-return-to-zero (NRZ) modulatio ...

Optical Society of America2010

EMULATION OF N-BITS UNIFORM QUANTIZER FROM MULTIPLE INCOHERENT AND NOISY ONE-BIT MEASUREMENTS

Yann Barbotin

Certain aspects of the present disclosure relate to a method for emulating N-bits uniform quantization of a received pulse signal by using one-bit signal measurements. ...

USPTO2010

Autoregressive Models of Amplitude Modulations in Audio Compression

Petr Motlicek, Hynek Hermansky, Sriram Ganapathy

We present a scalable medium bit-rate wide-band audio coding technique based on frequency domain linear prediction (FDLP). FDLP is an efficient method for representing the long-term amplitude modulations of speech/audio signals using autoregressive models. ...

Idiap2009

Wide-Band Audio Coding based on Frequency Domain Linear Prediction

Petr Motlicek, Hynek Hermansky, Sriram Ganapathy

In this paper, we re-visit an original concept of speech coding in which the signal is separated into the carrier modulated by the signal envelope. A recently developed technique, called frequency domain linear prediction (FDLP), is applied for the efficie ...

Idiap2009

APPLICATIONS OF SIGNAL ANALYSIS USING AUTOREGRESSIVE MODELS FOR AMPLITUDE MODULATION

Petr Motlicek, Hynek Hermansky, Sriram Ganapathy, Samuel Thomas

Frequency Domain Linear Prediction (FDLP) represents an efficient technique for representing the long-term amplitude modulations (AM) of speech/audio signals using autoregressive models. For the proposed analysis technique, relatively long temporal segment ...

Idiap2009

APPLICATIONS OF SIGNAL ANALYSIS USING AUTOREGRESSIVE MODELS FOR AMPLITUDE MODULATION

Petr Motlicek, Hynek Hermansky, Sriram Ganapathy, Samuel Thomas

Frequency Domain Linear Prediction (FDLP) represents an efficient technique for representing the long-term amplitude modulations (AM) of speech/audio signals using autoregressive models. For the proposed analysis technique, relatively long temporal segment ...

2009

Adaptive frequency tracking and application to biomedical signals

Yann Prudat

The main information of a signal resides in its frequency, its amplitude (or its power) and in their temporal evolution. Thus, a great number of methods for instantaneous frequency estimation have been proposed in the literature. Most of these algorithms u ...

EPFL2009

MDCT for Encoding Residual Signals in Frequency Domain Linear Prediction

Petr Motlicek, Hynek Hermansky, Sriram Ganapathy

Frequency domain linear prediction (FDLP) uses autoregressive models to represent Hilbert envelopes of relatively long segments of speech/audio signals. Although the basic FDLP audio codec achieves good quality of the reconstructed signal at high bit-rates ...

Audio Engineering Society, 60 East 42nd Street, New York, New York 10165-2520, USA;2009

Spectral Noise Shaping: Improvements in Speech/Audio Codec Based on Linear Prediction in Spectral Domain

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Subthreshold Current-Mode Delta-Sigma Quantizer with 3-Decade Scalable Sampling Rate and pico-Ampere Range Resolution

Low Distortion Multicasting of an Analog Signal by Self-Seeded Parametric Mixer

Analysis of pulse modulation format in coded BOTDA sensors

EMULATION OF N-BITS UNIFORM QUANTIZER FROM MULTIPLE INCOHERENT AND NOISY ONE-BIT MEASUREMENTS

Autoregressive Models of Amplitude Modulations in Audio Compression

Wide-Band Audio Coding based on Frequency Domain Linear Prediction

APPLICATIONS OF SIGNAL ANALYSIS USING AUTOREGRESSIVE MODELS FOR AMPLITUDE MODULATION

APPLICATIONS OF SIGNAL ANALYSIS USING AUTOREGRESSIVE MODELS FOR AMPLITUDE MODULATION

Adaptive frequency tracking and application to biomedical signals

MDCT for Encoding Residual Signals in Frequency Domain Linear Prediction

Adaptive frequency tracking and application to biomedical signals

Analysis of pulse modulation format in coded BOTDA sensors

Wide-Band Audio Coding based on Frequency Domain Linear Prediction

Subthreshold Current-Mode Delta-Sigma Quantizer with 3-Decade Scalable Sampling Rate and pico-Ampere Range Resolution

EMULATION OF N-BITS UNIFORM QUANTIZER FROM MULTIPLE INCOHERENT AND NOISY ONE-BIT MEASUREMENTS

MDCT for Encoding Residual Signals in Frequency Domain Linear Prediction

Autoregressive Models of Amplitude Modulations in Audio Compression

Low Distortion Multicasting of an Analog Signal by Self-Seeded Parametric Mixer

APPLICATIONS OF SIGNAL ANALYSIS USING AUTOREGRESSIVE MODELS FOR AMPLITUDE MODULATION

APPLICATIONS OF SIGNAL ANALYSIS USING AUTOREGRESSIVE MODELS FOR AMPLITUDE MODULATION