In this paper, we briefly review the development of ranking-and-selection (R&S) in past 70 years, especially theoretical achievements and practical applications last 20 years. Different from frequentist Bayesian classifications adopted by Kim Nelson (2006b) Chick (2006) their articles, categorize existing R&S procedures into fixed-precision fixed-budget procedures, as Hunter (2017). We show that these two categories essentially differ underlying methodological formulations, i.e., they are...

Many procedures have been proposed in the literature to select simulated alternative with best mean performance from a finite set of alternatives. Among these procedures, frequentist are typically designed under either subset-selection (SS) formulation or indifference-zone (IZ) formulation. Both formulations may encounter problems when goal is unique for any configuration means. In particular, SS return subset that contains more than one alternative, and IZ hinge on relationship between...

Radio Frequency Interference (RFI) is a key issue for Synthetic Aperture Radar (SAR) because it can seriously degrade the imaging quality, leading to misinterpretation of target scattering characteristics and hindering subsequent image analysis. To address this issue, we present narrow-band interference (NBI) wide-band (WBI) mitigation algorithm based on deep residual network (ResNet). First, short-time Fourier transform (STFT) used characterize interference-corrupted echo in time–frequency...

Electromagnetic induction can effectively induce abundant firing patterns in neurons. In modeling a neuron model with the electromagnetic effect, an current is frequently added to state equation of membrane potential. To more properly reflect non-uniform distribution ions inside and outside membrane, ideal flux-controlled memristor sinusoidal memductance function non-linearly modulated input raised depict effect on Hindmarsh–Rose model, thereby, three-dimensional (3D) memristive (mHR) built...

Specifying a proper input distribution is often challenging task in simulation modeling. In practice, there may be multiple plausible distributions that can fit the data reasonably well, especially when volume not large. this paper, we consider problem of selecting best from finite set simulated alternatives, presence such uncertainty. We model uncertainty by an ambiguity consisting number and aim to select alternative with worst-case mean performance over set. refer as robust selection...

Handheld mobile laser scanning (HMLS) can quickly acquire point cloud data, and has the potential to conduct forest inventory at plot scale. Considering problems associated with HMLS data such as large discreteness difficulty in classification, different classification models were compared order realize efficient separation of stem, branch leaf points from data. First, was normalized ground removed, then neighboring identified according three KNN algorithms eight geometric features...

For polarimetric synthetic aperture radar (PolSAR) data, abundant structure and textural information significantly enhance the ability of ship detection. This paper presents an automatic detection algorithm for PolSAR termed <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">K-Wishart detector</i> , which utilizes non-Gaussian K-Wishart classifier incorporates SPAN parameter to identify ships. The fundamental assumption is that data could be...

In complex electromagnetic environments, wideband interference (WBI) may severely affect the imaging quality of synthetic aperture radar (SAR). Because it occupies a large bandwidth, which overlaps with target echoes, WBI is difficult to mitigate. The existing suppression methods based on filtering or transform-domain analysis usually suffer from model mismatch. To tackle this problem, method combining instantaneous frequency (IF) estimation and regularized time-frequency (RTFF) proposed for...

Wideband interference (WBI) can significantly reduce the image quality and interpretation accuracy of synthetic aperture radar (SAR). To eliminate negative effects WBI on SAR, we propose a novel end-to-end data-driven approach to mitigate WBI. Specifically, is mitigated by an explicit function called mitigation–generative adversarial network (WBIM-GAN), mapping from input WBI-corrupted echo its properly WBI-free echo. WBIM-GAN comprises mitigation target discriminative network. The...

Classical ranking-and-selection (R&S) procedures cannot be applied directly to select the best decision in presence of distributional ambiguity. In this paper we propose a robust selection-of-the-best (RSB) formulation which compares decisions based on their worst-case performances over finite set possible distributions and selects with performance. To solve RSB problems, design two-layer R&S procedures, either two-stage or fully sequential, under indifference-zone formulation. The procedure...

We propose a new deceptive jamming method using networked receivers to perform against multimode synthetic aperture radar. Using multiple measure the time difference of beam arrival, we solve instantaneous modulation parameters precisely via linear equations. then delays and frequency offsets signal without approximation avoid accumulating electronic reconnaissance errors with traditional methods. Additionally, design distribution minimize condition number, reducing our method's sensitivity...

A deceptive jamming method against terrain observation by progressive scans synthetic aperture radar (TOPSAR) that considers the effect of changing relative position between a jammer and TOPSAR platform is presented. The can generate flexible false targets with varying Doppler centroids. problem decomposed into simpler subproblems same type, according to satellite. partial modulation function be pregenerated before parameter reconnaissance. partitioned scheme produces multiple batches in...

Classical ranking-and-selection (R&S) procedures cannot be applied directly to select the best decision in presence of distributional ambiguity. In this paper we propose a robust selection-of-the-best (RSB) formulation which compares decisions based on their worst-case performances over finite set possible distributions and selects with performance. To solve RSB problems, design two-layer R&S procedures, either two-stage or fully sequential, under indifference-zone formulation. The procedure...

Deception is an effective means of jamming against synthetic aperture radar (SAR). The performance deceptive affected by the accuracy parameter measurement and applied antijamming methods SAR. In this article, we analyze current evaluation indicators, propose a new method for evaluating based on combination typical dominant recessive indicators extracted convolutional neural networks, obtain level using softmax activation function in fully connected network. Deceptive images SAR motion error...

Synthetic aperture radar (SAR) is susceptible to radio frequency interference (RFI), which becomes especially commonplace in the increasingly complex electromagnetic environments. RFI severely detracts from SAR imaging quality, hinders image interpretation. Therefore, some mitigation algorithms have been introduced based on partial features of RFI, but reconstruction models these are rough and can be improved further. This paper proposes two for accurately modeling structural properties...

We have developed a cost-effective, high-capacity Er-doped fiber amplifier based on the high-power white LED and large-core fiber. Er ions of with absorption bands at 453, 488, 523, 654 nm were simultaneously excited by pumping amplification optical gain over 12 dB 1550 was obtained.