Understanding Digital Signal Processing
By Richard G. Lyons. 1996
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Peter J. Winzer
- René-Jean Essiambre
- Isabelle M Guyon
- Andre´ Elisseeff
- Gerard J. Foschini
- Gerhard Kramer
- G. Günther
- P. Konopka
Citations in the corpus
- Differential Power Analysis in the Presence of Hardware Countermeasures (2000, methodology): “shifts. This has the eect of smearing the peaks across the dieren tial trace due to a desyncronisation eect, known in digital signal processing under the name of incoherent averaging [ 9 ].”
- Capacity Limits of Optical Fiber Networks (2010, methodology): “The pulse shaping can be synthesized digitally using a digital-to-analog converter (DAC) [28], [29].”
- From ERA-Interim to ERA5: considerable impact of ECMWF's next-generation reanalysis on Lagrangian transport simulations (2018, background): “The process of downsampling or decimation to reduce the sampling rate of a signal typically consists of two steps (e.g., Lyons, 2010).”
- An Introduction to Feature Extraction (2006, methodology): “We refer to introductory books in digital signal processing (Lyons, 2004), wavelets (Walker, 1999), image processing (R. C. Gonzalez, 1992), and morphological image analysis (Soille, 2004).”
- Remote sensing techniques for mangrove mapping (2006, background): “This problem could get worse when there are additional external disturbances such as the fluctuation of the atmospheric states (Oppenheim and Schafer, 1975; Landgrebe, 1997; Lyon, 2004).”
- OFDM Radar Algorithms in Mobile Communication Networks (2014, background): “Lyons [108] gives an excellent introduction to this topic.”
- Digital twin, physics-based model, and machine learning applied to damage detection in structures (2020, background): “Some pretty well established disciplines are part of a digital twin framework; for example, finite element model [19], neural networks [5], digital signal processing [20], structural health monitoring [21], uncertainty quantification [22], inverse problem [23], model updating [24], and verification ”
- The Path to the Software-Defined Radio Receiver (2007, background): “The comb filter is commonly used to protect a narrow frequency band surrounding DC from aliasing [6].”