Low-delay distortion recursive (IIR) transmultiplexer

Danesfahani, G.R.; Jeans, T.G.; Evans, B.G.

doi:10.1049/el:19940410

Cited by 3 publications

(4 citation statements)

References 2 publications

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“…In Section 4 of this chapter we consider the application of the two-channel DF as a building block of a multiple channel tree-structured FDMUX filter bank according to Fig. 2, typically applied for on-board processing in satellite communications [Danesfahani et al (1994); Göckler & Felbecker (2001); Göckler & Groth (2004); Göckler & Eyssele (1992)]. In case of a great number of channels and/or challenging bandwidth requirements, implementation of the front-end DF is crucial, which must be operated at (extremely) high sampling rates.…”

Section: Most Efficient Digital Filter Structuresmentioning

confidence: 99%

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Applications of Digital Signal Processing

Cuadrado-Laborde¹

2011

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Dr. Christian Cuadrado-Laborde received his Ph.D. degree in physics from La Plata University (UNLP, Argentina, 2005), and his Electric and Electronic Engineer degree from the San Luis University (UNSL, Argentina, 1998). Then, he joined to the most important federal research agency in Argentina (CONICET, 2005); where he is actually an Associate Researcher. He is currently also an Associate Professor of the La Plata Catholic University (Argentina). He has served also as an Assistant Professor of the Faculty of Engineering of the UNLP. He was awarded by the Spanish Ministry of Science with a research fellow position to join to the Optical Fiber Laboratory group headed by M. V. Andrés of the Valencia University (Spain) during 2008-2009. Since then, he has a fluid collaboration with this research group. He serves also as a reviewer for several well-known journals of the Optical Society of America, the IEEE, Elsevier, SPIE, and the Electromagnetic Academy. He has published several papers in top-tier scientific journals such as Optics Letters, Laser & Photonics Reviews, Optics & Photonics News, etc. His current research interest includes fiber optics applications, photonic processing, and all-fiber lasers.

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Section: Most Efficient Digital Filter Structuresmentioning

confidence: 99%

“…in satellite communications) according to Fig. 2 and [Danesfahani et al (1994); Göckler & Felbecker (2001); Göckler & Groth (2004); Göckler & Eyssele (1992)], etc. A frequency-shifted (complex) halfband filter (CHBF), generally known as Hilbert-Transformer (HT, cf.…”

Section: Introductionmentioning

confidence: 99%

Applications of Digital Signal Processing

Cuadrado-Laborde¹

2011

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“…These DF are generally referred to as two-channel frequency demultiplexer (FDMUX) or frequency multiplexer (FMUX) filter bank [Göckler & Eyssele (1992); Vaidyanathan & Nguyen (1987); Valenzuela & Constantinides (1983)]. In Section 4 of this chapter we consider the application of the two-channel DF as a building block of a multiple channel tree-structured FDMUX filter bank according to Fig. 2, typically applied for on-board processing in satellite communications [Danesfahani et al (1994); Göckler & Felbecker (2001); Göckler & Groth (2004); Göckler & Eyssele (1992)]. In case of a great number of channels and/or challenging bandwidth requirements, implementation of the front-end DF is crucial, which must be operated at (extremely) high sampling rates.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Most Efficient Digital Filter Structures: The Potential of Halfband Filters in Digital Signal Processing

Gockler¹

2011

Applications of Digital Signal Processing

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Efficient Implementation of Real and Complex Linear-Phase FIR and Minimum-Phase IIR Halfband Filters for Sample Rate Alteration

Gockler¹,

Damjanović²

2006

Frequenz

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Real halfband lowpass and complex halfband bandpass filters, versatile building blocks in a multitude of DSP applications, are revisited with focus on efficient implementation. Linear-phase FIR and minimumphase IIR halfband filters are recalled predominatly for sample rate alteration, their computational loads are compared, and optimum signal flow graphs are presented. The same comparisons are carried out for the corresponding complex halfband filters (Hilbert-transformers with their passbands centred at the normalised frequencies of c 9-10

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Low-delay distortion recursive (IIR) transmultiplexer

Cited by 3 publications

References 2 publications

Applications of Digital Signal Processing

Applications of Digital Signal Processing

Most Efficient Digital Filter Structures: The Potential of Halfband Filters in Digital Signal Processing

Efficient Implementation of Real and Complex Linear-Phase FIR and Minimum-Phase IIR Halfband Filters for Sample Rate Alteration

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