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GEOPHYSICAL PARAMETER RETRIEVAL FOR MICROWAVE C BAND SYNTHETIC APERTURE RADAR (SAR) DATASET USING INTEGRAL EQUATION MODEL
Microwave SAR Geophysical Parameters IEM Modelling
2019/2/28
The microwave remote sensing is highly useful, as it provides synoptic observation of the Earth’s surface or planetary bodies, regardless of day or night and the atmospheric conditions, propagation th...
On parameter convergence in adaptive control
Control parameter the parameter error signal and reference signal
2015/8/13
It is well known that the parameter error as well as the model-plant mismatch error in a model reference adaptive scheme tends exponentially to zero iff a certain sufficient richness condition holds f...
Necessary and sufficient conditions for parameter convergence in adaptive control
Adaptive control adaptive systems identifiability parameter estimation
2015/8/13
Using Generalized Harmonic Analysis, a complete description of parameter convergence in Model Reference Adaptive Control (MRAC) is given in terms of the spectrum of the exogenous reference input signa...
A Compressed Sensing Parameter Extraction Platform for Radar Pulse Signal Acquisition
Compressed sensing Indium-Phosphide Parameter Estimation Random-Modulation Pre-Integration
2015/6/17
In this paper we present a complete (hardware/software) sub-Nyquist rate (×13) wideband signal acquisition chain capable of acquiring radar pulse parameters in an instantaneous bandwidth spanning 100 ...
Compressive Parameter Estimation with EMD
compressive sensing parameter estimation earth mover's distance K median clustering
2014/12/8
In recent years, sparsity and compressive sensing have attracted significant attention in parameter estimation tasks, including frequency estimation, delay estimation, and localization. Parametric dic...
Improved Parameter Estimation for First-Order Markov Process
Parameter Estimation First-Order Markov Process
2009/9/4
This correspondence presents a linear transformation, which is used to estimate correlation coefficient of first-order Markov process. It outperforms zero-forcing (ZF), minimum mean-squared error (MMS...
Parameter estimates in random intercept mixed effects model for repeated measures
Repeated measures Random effects Convergence system Strong convergence Strong convergence rate
2007/12/11
In this article the following random intercept mixed effects model will be considered: $\ y_{ij}=v_{i}+ x_{ij}^{\tau}\beta+\epsilon_{ij}, i=1,\ldots,m;j=1,2,\ldots, n_{i},$ where $\{v_{i}\}$ are i.i.d...