Foundational — DSP Notes: On Discrete Sequences and Systems (Part I)

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"Learning digital signal processing is not something you accomplish; it's a journey you take."-- Richard G. Lyons Our last post (article III) covered radio frequency spectrum bands and their applications. However, the primary reason for starting this series is to develop both theoretical and practical knowledge of DSP. Over time, readers can expect an Applied … Continue reading Foundational — DSP Notes: On Discrete Sequences and Systems (Part I)

Foundational — DSP Notes: RF Spectrum Bands and Applications

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So far we have established several mathematical cornerstones of DSP. Particularly in articles I and II, we covered complex numbers, the closed-form of geometric series, logarithms, and metric prefixes. Now we'll turn our attention to another foundational pillar of this study: developing an intuition for frequency, as well as understanding the Radio Frequency Spectrum bands … Continue reading Foundational — DSP Notes: RF Spectrum Bands and Applications

Foundational – DSP NOTES: MATH OVERVIEW (PART II)

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In Part I of our DSP Math Overview, we covered complex numbers and the closed-form solution for geometric series. Now, we will turn our attention to logarithms, their properties, and metric prefixes. Logarithms I'd like to begin part two of the math review with a section on logarithms and their properties. We will also cover … Continue reading Foundational – DSP NOTES: MATH OVERVIEW (PART II)

Foundational – DSP Notes: Math Overview (Part I)

Posted on by clbmath

Every image you see, every song you stream, every signal being transmitted across space… at its core, it's all just numbers. Digital Signal Processing (DSP) is a silent architect of modern technology, with widespread Industrial and Scientific applications. This series was inspired by a conversation I had with my brilliant friend Rose, motivating us to … Continue reading Foundational – DSP Notes: Math Overview (Part I)

Developmental – DMD Meets Space City (Part I)

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Imagine being able to detect subtle patterns in Earth's landscape using mathematical tools. With NASA's API for obtaining LANDSAT Imagery and the Dynamic Mode Decomposition (DMD) technique, this becomes not only possible but accessible to anyone with enough curiosity and a reasonable understanding of python. Here are the highlights: LANDSAT Summary Accessing NASA's API DMD … Continue reading Developmental – DMD Meets Space City (Part I)