DSP

The Universal Challenge: From Events to Insight Every field that deals with streams of events over time shares a common challenge. A factory manager tracking items on a conveyor belt, a data scientist analyzing user clicks, and a network engineer monitoring packets are all trying to turn a series of…

Introduction: The Rosetta Stone In Part 1, we introduced the “ghost in the machine”—an aliased signal created by the very act of measuring a stream of discrete events. We established that any time-bucketed analysis is a form of filtering. But to truly understand our measurements and build a trustwor…

Introduction: Applying the Framework In Part 1, we introduced the DSP lens and the problem of aliasing. In Part 2, we built a detailed theoretical framework, our “Rosetta Stone,” connecting the concepts of sample rates, filters, and critical frequencies. Now, in this final part, we apply that framew…

This is the story of my first expensive lesson in Digital Signal Processing. It is about JitterTrap, the free software that powers BufferUpr. The premise of BufferUpr is to combine commodity hardware with open source software to create a product that can measure data stream delays of 1-100 milliseco…