Dither Signals and Their Effect on Quantization Noise
By Leonard Schuchman. 1964
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Johannes Ballé
- Valero Laparra
- Soummya Kar
- José M. F. Moura
- Eirikur Agustsson
- Eero P. Simoncelli
- Mingyi Hong
- Kavita Ramanan
Citations in the corpus
- End-to-end optimization of nonlinear transform codes for perceptual quality (2016, methodology): “Under the presented conditions, adding noise is equivalent to performing dithered quantization [16].”
- Quantized consensus ADMM for multi-agent distributed optimization (2015, background): “, [26]) is not easy to characterize due to this nonlinearity.”
- Distributed Parameter Estimation in Sensor Networks: Nonlinear Observation Models and Imperfect Communication (2008, background): “…the rate of receiving observations at each sensor is comparableto the data exchange rate among sensors, each sensor updates its estimate at time indexi by fusing it appropriately with the observation (innovation) received ati and the estimates ati of those sensors with which it can communicate ati.”
- Distributed Consensus Algorithms in Sensor Networks: Quantized Data and Random Link Failures (2007, background): “In [28], we considered consensus when the topologies are random (links fail or become alive at random times) and the links are noisy (analog noise) simultaneously.”
- What Is Stochastic Resonance? Definitions, Misconceptions, Debates, and Its Relevance to Biology (2009, background): “Dithering involves deliberately adding a random—or pseudorandom—signal to another signal, prior to its digitization or quantization [76].”
- A theory of nonsubtractive dither (2000, methodology): “Subtractively dithered (SD) quantizing systems, in which the dither is subsequently subtracted from the output signal after quantization, have been discussed and used for over 30 years in speech and video processing applications [1], [2], and a satisfactory theory of their operation exists in print ”
- Data-Hiding Codes (2005, background): “Under high-rate lattice quantization theory [75], the quantization noise may be modeled as random, independent of , and uniformly distributed over ; moreover, that model is exact if a dithered lattice quantizer is used [76], [77].”