Non-Uniform Wavelet Sampling for RF Analog-to-Information Conversion

A Hardware Platform to Test Analog - to - Information Conversion and Non - Uniform Sampling

The Nyquist-Shannon sampling theorem tells us that in order to fully recover a band-limited signal previously converted to discrete data points, said signal must have been sampled at a frequency greater than twice its bandwidth. This theorem puts a burden on circuits like ADCs, in the sense that the higher the bandwidth of a signal, the faster the ADC must be by a factor of at least 2. This in ...

Non-uniform Spatial Sampling

We investigate in this paper the non-uniform sampling of EEG dipolar potentials and its impact on source analysis. We suppose some a priori knowledge on the approximate location of the dipole. We show that, in a noise-free situation, the electrode spacing needs to be around 3cm in the region of the dipole only, whereas it can drop to 8cm in remote regions.

Signal-Dependent Analog-to-Digital Conversion based on MINIMAX Sampling

This paper presents an architecture of signaldependent analog-to-digital converter (ADC) based on MINIMAX sampling scheme that allows achieving high data compression rate and power reduction. The proposed architecture consists of a conventional synchronous ADC, a timer and a peak detector, and AD conversion is carried out only when input signal peaks are detected. To improve the accuracy of sig...

Analog-to-Digital Converter Design for Non-Uniform Quantization

Innovative Approach to Non-Uniform Sampling

An innovative approach to non-uniform sampling is proposed in this research paper specifically two engineering methods to sampling are proposed. Using results from statistics literature, an “optimal sampling” scheme is discussed. Information theoretic approach to nonuniform sampling formulated.