D. Gibson, "Explicit additive noise models for uniform and nonuni- form MMSE quantization," Signal Processing, vol. 7, pp. 407-414, 1984.K. Sayood and J. D. Gibson, "Explicit additive noise models for uniform and nonuniform MMSE quantization," Signal Processing, vol. 7, pp. 407-414,...
Additive White Gaussian Noise refers to the mixture of noises, including thermal noise and flicker noise, that is widely modeled as a Gaussian distribution with zero mean and varying variance. It is called "white" because it contains all frequencies and is commonly used to model disturbances in ...
(AIHP Prob Stat 53:1548–1574, 2017) for a 1D stochastic ODE, we show that some remnant of the bifurcation persists for this SPDE model in the form of a positive finite-time Lyapunov exponent. Additionally, we prove finite-time expansion of volume with increasing dimension as the ...
By a numerical analysis, the theoretical results are shown to be also valid for the uniform noise model of quantization. Index Terms—IEEE Standards 1057 and 1251, model-order selection, sine-wave fit, waveform fit. 9 被引用 · 0 笔记 引用 Four parameter sine fit with less than one ...
Nonlinear parabolic stochastic differential equations with additive colored noise onR d×R +: A regulated stochastic quantization. Commun.Math. Phys. 109, 537–561 (1987). https://doi.org/10.1007/BF01208957 Download citation Received10 August 1985 Revised20 May 1986 Issue DateDecember 1987 DOI...
For Kingdom Plantae, the pivot organism is the model organismBrassica napus(19 chromosomes, 380 DNA fragments), rapeseed, a flowering member of the familyBrassicaceae(mustard or cabbage family). Separation of its conventional nDNA signatures was achieved down to and including separation fromC. papay...
This research paper delves into a comprehensive investigation concerning the impact of additive noise and quantization error on the precision of amplitude, offset, and phase estimates of a sine wave fitted to a set of data points acquired by a waveform digitizer. Simulation results are used to ...
model-basedautomatic target recognition (ATR)quantizationperformance predictionPeaky template matching (PTM) is a special case of a general algorithm known as multinomial pattern matching originally developed for automatic target recognition of synthetic aperture radar data. The algorithm is a model-based ...
The first is quantization noise, I.e., the encoder receives the quantized values of the past outputs of the forward channel. The quantization is uniform, memoryless and time invariant (that is, symbol-by-symbol scalar quantization), with bounded quantization error. The second corruption mechanism...
2. Observation model Consider a random signal, xk∈Rnx, to be estimated and assume that the actual measurements, zk∈Rnz, are described by(1)zk=Hkxk+vk,k≥1,where Hk are random parameter matrices and vk is a time-correlated additive noise, satisfying(2)vk=Dk−1vk−1+uk−1,k≥...