Publications de Vahid Majidzadeh Bafar

An 8-PPM, 45 pJ/bit UWB Transmitter with Reduced Number of PA Elements

Alexandre Schmid, Yusuf Leblebici, Vahid Majidzadeh Bafar

An impulse radio ultra wideband (IR-UWB) transmitter (Tx) using finite impulse response synthesis of the raised-cosine pulse is presented. Symmetric pulse combining technique is proposed to reduce the number of power amplifier elements by half. A novel all ...

2012

Low-Power Circuits and Systems Design for Data Acquisition and Transmission in a Wireless Cortical Implant

Vahid Majidzadeh Bafar

Minimally invasive monitoring of the electrical activity of specific cortical areas using implantable microsystems offers the promise of diagnosing neurological diseases, as well as detecting and identifying neural activity patterns which are specific to a ...

EPFL2012

A fully on-chip LDO voltage regulator with 37 dB PSRR at 1 MHz for remotely powered biomedical implants

Catherine Dehollain, Alexandre Schmid, Yusuf Leblebici, Kanber Mithat Silay, Vahid Majidzadeh Bafar

This article presents a fully on-chip low-power LDO voltage regulator dedicated to remotely powered wireless cortical implants. This regulator is stable over the full range of alternating load current and provides fast load regulation achieved by applying ...

Springer US2011

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

Energy Efficient Low-Noise Neural Recording Amplifier With Enhanced Noise Efficiency Factor

Alexandre Schmid, Yusuf Leblebici, Vahid Majidzadeh Bafar

This paper presents a neural recording amplifier array suitable for large-scale integration with multielectrode arrays in very low-power microelectronic cortical implants. The proposed amplifier is one of the most energy-efficient structures reported to da ...

2011

A (256x256) Pixel 76.7mW CMOS Imager/ Compressor Based on Real-Time In-Pixel Compressive Sensing

Alexandre Schmid, Yusuf Leblebici, Pierre Vandergheynst, Vahid Majidzadeh Bafar, Laurent Jacques

A CMOS imager is presented which has the abil- ity to perform localized compressive sensing on-chip. In-pixel convolutions of the sensed image with measurement matrices are computed in real time, and a proposed programmable two- dimensional scrambling tech ...

IEEE Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

Low-distortion switched-capacitor event-driven analogue to-digital converter

Alexandre Schmid, Yusuf Leblebici, Vahid Majidzadeh Bafar

An event-driven analogue-to-digital converter (ADC) architecture is proposed. The proposed architecture has less sensitivity to amplifier and DAC nonlinearity, and reduces the swing and dynamic common-mode range requirement of the operational transconducta ...

Institution of Engineering and Technology2010

CMOS Compressed Imaging by Random Convolution

Alexandre Schmid, Yusuf Leblebici, Pierre Vandergheynst, Vahid Majidzadeh Bafar, Laurent Jacques

We present a CMOS imager with built-in capability to perform Compressed Sensing. The adopted sensing strategy is the random Convolution due to J. Romberg. It is achieved by a shift register set in a pseudo-random configuration. It acts as a convolutive fil ...

2009

A Fully On-Chip LDO Voltage Regulator for Remotely Powered Cortical Implants

Alexandre Schmid, Yusuf Leblebici, Vahid Majidzadeh Bafar

This article presents a fully on-chip low-power low drop-out (LDO) voltage regulator dedicated to remotely powered wireless cortical implants. This regulator is stable over the full range of alternating current without the need of dedicated active circuitr ...

2009

A Micropower Neural Recording Amplifier with Improved Noise Efficiency Factor

Alexandre Schmid, Yusuf Leblebici, Vahid Majidzadeh Bafar

This article presents a neural recording amplifier suitable for large-scale integration with multi-electrode arrays (MEAs) in very low-power microelectronic cortical implants. The proposed amplifier is the most energy-efficient structure reported to date, ...

2009