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, ...

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 ...

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 ...

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

To provide additional insight in the application and impact of precision in digital filter, examples of two practical digital applications are shown. The first example is an equalization of a small ...

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, ...

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 ...