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The demand for high-quality and high-speed imaging has increased. Column-parallel ≥14b A/D conversion is one of the major approaches to meet these requirements in CMOS image sensors (CIS). Oversampling ADCs such as incremental delta-sigma (I-ΔΣ) ADCs are t ...
A current-mode ΔΣ 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 ...
Multiple techniques are presented to implement an ultra-low-power remotely powered implantable system. The temperature is monitored locally by a thermistor-type sensor. The resistive response of the sensor is amplified and resolved in the time-domain. The ...
We study a multichannel sampling scheme, where different channels observe scaled and shifted versions of a common bandlimited signal. The channel gains and offsets are unknown a priori, and each channel samples at sub-Nyquist rates. This setup appears in m ...
The long-standing analog-to-digital conversion paradigm based on Shannon/Nyquist sampling has been challenged lately, mostly in situations such as radar and communication signal processing where signal bandwidth is so large that sampling architectures cons ...
This paper proposes an interface circuit for wirelessly powered implants for mice temperature monitoring. The circuit contains the read-out circuit and a data converter. By using a novel approach to cancel the non-linear effects of thermistor sensors, the ...
This thesis describes a novel digital background calibration scheme for pipelined ADCs with nonlinear interstage gain. Errors caused by the nonlinear gains are corrected in real-time by adaptively post-processing the digital stage outputs. The goal of this ...
Embodiments include a method for sending a selected number of pilots (20) to a sparse channel having a channel impulse response limited in time comprising sending the selected number of the pilots (20). The pilots (20) are equally spaced in the frequency d ...
Compressive sensing (CS) is an alternative to Shannon/Nyquist sampling for acquisition of sparse or compressible signals that can be well approximated by just K < N elements from an N-dimensional basis. Instead of taking periodic samples, we measure inner ...
Institute of Electrical and Electronics Engineers2010
This paper addresses the problem of reconstructing an image from 1-bit-quantized measurements, considering a simple but nonconventional optical acquisition model. Following a compressed-sensing design, a known pseudo-random phase-shifting mask is introduce ...
