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 ...

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 ...

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 ...

This course studies the processing of discrete-time signals in the time and frequency domains. Students are introduced to the design and realisations of digital filters; the theory and application of ...

Digital Signal Processing (DSP) affords greater flexibility, higher performance (in terms of attenuation and selectivity), better time and environment stability and lower equipment production costs ...

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 ...

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, ...

Synthetic biologists have added high-precision analog-to-digital signal processing to the genetic circuitry of living cells. The research, described online today in the journal Science, dramatically ...

Learning Digital Signal Processing (DSP) techniques traditionally involves working through a good bit of mathematics and signal theory. To promote a hands-on approach, [Clyne] developed the DSP PAW ...