Filter bank design forms a cornerstone of modern digital signal processing, enabling the decomposition of signals into multiple frequency subbands for both analysis and synthesis. Recent advancements ...

Signal processing is a multidisciplinary field concerned with the analysis, transformation, and interpretation of signals—functions that convey information about physical phenomena. At its core, ...

Chapter 11 of this book “Digital Data Locked Loops“ is being made available as a series of design articles. The first part is available here. I have spent more than 30 years toil.ing away as a digital ...

Analog signal processing has conventionally been viewed as a voltage-dominated form of design. But voltage-mode processing can restrict the system's dynamic range. There is also a limitation on the ...

Small or embedded systems often require a delicate measurement in the presence of high noise or interference. Without fancy filtering hardware, high-speed processing, or digital signal processing, it ...

CATALOG DESCRIPTION: discrete-time random process, second-order statistics, autoregressive and moving average processes, linear prediction, Wiener filter, stochastic gradient (Least Mean Square) ...

Design linear discrete-time systems and filters and analyze their behavior. Represent continuous-time signals and linear systems in discrete time, so that such signals can be recovered in continuous ...

There’s an old saying: Tell me and I forget, teach me and I may remember, involve me and I learn. I’m guilty of this in a big way — I was never much on classroom learning. But if I build something or ...

Signal processing algorithms, architectures, and systems are at the heart of modern technologies that generate, transform, and interpret information across applications as diverse as communications, ...