In part 1, we started to make some intuitive connections between near-Nyquist sampling, the addition of close-frequency sines, and how those signals would interact with perfect LP filters. Let's put ...

With the growing use of multiple video formats, a fundamental understanding of sampling rate conversion will provide insight into the quality and operation of format converters. However, before ...

Sub-Nyquist sampling and Finite Rate of Innovation (FRI) signal processing represent a paradigm shift in the acquisition and reconstruction of signals. Traditional sampling theories require adherence ...

Over the last few blogs we’ve been looking at DDCs and how frequencies are shifted and folded in the output spectrum. In the last blog, ADC Digital Downconverter: A Complex Decimation Example we ...

Sampling a signal causes the original signal spectrum (blue) to create sum (purple) and difference (red) frequencies around the sampling frequency, fS. When the difference signals fall into the ...

The relationship between a signal’s constituent frequencies and the sampling rate used to quantize them is fundamental. As shown in Figure 1, sampling a signal that has a given spectrum creates a ...

A research team has developed a novel multidimensional sampling theory to overcome the limitations of flat optics. The study not only identifies the constraints of conventional sampling theories in ...