Design and Exploration of Low-Power Analog to Information Conversion Based on Compressed Sensing
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Scanning large bandwidths (spectrum sensing) pushes today’s analog hardware to its limits since periodic sampling at Nyquist rate with sufficient resolution is often prohibitively complex. In this paper, we consider a scenario where the signal to be acquir ...
The idea of a software receiver is to replace the data processing implemented in hardware with software and to sample the analog input signal as close to the antenna as possible. Thus, the hardware is reduced to the minimum (antenna and analog to digital c ...
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A very low power mixed-signal design methodology based on subthreshold source-coupled circuits is presented, and a nano-Watt range analog-to-digital converter (ADC) circuit based on folding-interpolating topology is proposed as a complete design example. T ...
A topology for the calibration of DAC errors in multi-bit sigma delta modulators is presented. The proposed technique enables the calibration to proceed in the background. In this technique, two DACs are used in a time-interleaved fashion. One DAC is calib ...
Nowadays digital signal processing systems used for radar applications, communication systems or RF measurement equipments, require very high sample-rates. Sometimes these sample-rates are beyond the possibilities offered by conventional ADCs. To overcome ...
The wideband RF receiver in a software-defined radio (SDR) system suffers from the nonlinear effects caused by the front-end analog processing. In the presence of strong blocker (interference) signals, such nonlinearities introduce severe cross modulation ...
In a nonideal PLL circuit, leakage of the reference signal into the control line produces spurious tones. When the distorted PLL signal is used in an analog-to-digital converter (ADC), it injects the spurious tones into the sampled data. These distortions ...
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 ...
Compressive sensing (CS) is an alternative to Shannon/Nyquist sampling for acquiring sparse or compressible signals. Instead of taking N periodic samples, we measure M < N inner products with random vectors and then recover the signal via a sparsity-seeki ...