quantization 源码搜索结果, 第87页, Verysource

Set-membership state estimation with nonlinear equality constrai... Set-membership state estimation with nonlinear equality constraints and quantization
Rate-oriented perceptual image coding using contrast-based quant... A new image coding approach is proposed by controlling the quantization step via minimizing the perceptual distortions (in terms of image’s contrast measurement). The proposed method is a rate-oriented contrast-based approach, which is in contrast to the ...
Robust H∞filtering for stochastic networked control systems ... norm-bounded and appear in both the state and input matrices. In the networked control systems (NCSs), the problems of measurement quantization, signal transmission delay and data packet dropout are considered. H<sub><span>∞</span></ ...
Spectral compression in a comb-like distributed fiber and its ap... Spectral compression in a comb-like distributed fiber and its application in 7-bit all-optical quantization
L2 control design of event-triggered networked control systems w... L2 control design of event-triggered networked control systems with quantization
An Robust Watermarking Algorithm based on Coefficients Group Qua... An Robust Watermarking Algorithm based on Coefficients Group Quantization
H_infinity filtering for networked systems with uncertain packet... H_infinity filtering for networked systems with uncertain packet dropouts and quantization
Fault Detection for Linear Discrete Time-varying Systems with In... Fault Detection for Linear Discrete Time-varying Systems with Intermittent Observations and Quantization Errors
SFCVQ and EZW coding method based on Karhunen-Loeve transformati... A new hyperspectral image compression method of spectral feature classification vector quantization (SFCVQ) and embedded zero-tree of wavelet (EZW) based on Karhunen-Loeve transformation (KLT) and integer wavelet transformation is represented. In ...
Event-triggered L2−L∞ state estimation for discrete-time neural ... Event-triggered L2−L∞ state estimation for discrete-time neural networks with sensor saturations and data quantization

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