Even though ghost imaging (GI), an unconventional method, has received increased attention by researchers during the last decades, speed is still not satisfactory. Once data-acquisition method and system parameters are determined, only processing potential to accelerate image-processing significantly. However, both basic correlation compressed sensing algorithm, which often used for imaging, have their own problems. To overcome these challenges, a novel deep learning proposed in this paper....

We study the problem of sampling from a $d$-dimensional distribution with density $p(x)\propto e^{-f(x)}$, which does not necessarily satisfy good isoperimetric conditions. Specifically, we show that for any $L,M$ satisfying $LM\ge d\ge 5$, $\epsilon\in \left\{0,\frac{1}{32}\right\}$, and algorithm query accesses to value $f(x)$ $\nabla f(x)$, there exists an $L$-log-smooth second moment at most $M$ such requires $\left\{\frac{LM}{d\epsilon}\right\}^{\Omega(d)}$ queries compute sample whose...

Deep-learning (DL) methods have gained significant attention in ghost imaging (GI) as promising approaches to attain high-quality reconstructions with limited sampling rates. However, existing DL-based GI primarily emphasize pixel-level loss and one-to-one mapping from bucket signals or low-quality images images, tending overlook the diversity image reconstruction. Interpreting reconstruction perspective of conditional probability, we propose utilization denoising diffusion probabilistic...

Optical phased arrays (OPAs) encounter a formidable trade-off between performance and design due to the intricacies of their system. Here, we propose cascaded domain engineering OPA structure via engineering. A six-layer prototype, consisting 32 array elements, was designed, fabricated, characterized. In contrast existing scheme, only one control electronics is used entire regardless number elements. The speed beam steering demonstrated up 3 MHz in bulk LiNbO3 (LN) demo, based on fast...

The ability to capture and record high-resolution images over long distances is essential for a wide range of applications, including connected autonomous vehicles, defense security operations, as well agriculture mining industries. Here, we demonstrate self-assembled bistatic long-range imaging LiDAR system. Importantly, achieve high signal-to-noise ratio (SNR) data, employed comprehensive suite denoising methods temporal, spatial, spectral, polarization filtering. With the aid these...

Ghost imaging (GI) illuminates an object with a sequence of light patterns and obtains the corresponding total echo intensities bucket detector. The correlation between signals results in image. Due to such mechanism different from traditional methods, GI has received extensive attention during past two decades. However, this also makes suffer slow speed poor quality. In previous work, each sample, including illumination pattern its detected signal, was treated independently other. is...

A wrist-worn dual-band smartwatch antenna with polarization diversity is proposed for smartwatches. The has a cylindrical structure diameter of 33.6 mm and height 6.8 mm. radiated inspired by composite right-/left-handed transmission lines (CRLH-TLs) to realize operation (2.4 5.8 GHz WLAN band). unit cell the CRLH-TL analyzed, its equivalent circuit model dispersion curves are studied mode analyzation. +1 −1 modes CRLH TL employed operating, two orthogonal-polarized excited different types...

The immense popularity of racket sports has fueled substantial demand in tactical analysis with broadcast videos. However, existing manual methods require laborious annotation, and recent attempts leveraging video perception models are limited to low-level annotations like ball trajectories, overlooking tactics that necessitate an understanding stroke techniques. State-of-the-art action segmentation also struggle technique recognition due frequent occlusions motion-induced blurring To...

Two-photon superbunching of classical light is observed with single-mode continuous-wave laser in a linear optical system. By adding more two-photon paths via rotating ground glasses, pinholes, lens, etc., g(2)(0)=7.10±0.07 experimentally observed. The second-order temporal coherence function the pseudothermal theoretically and studied detail. It predicted that degree can be increased dramatically by multi-photon paths. For instance, second- third-order five glasses reach 32 7776,...

Recently, ghost imaging has been attracting attentions because its mechanism would lead to many applications inaccessible conventional methods. However, it is challenging for high contrast and resolution imaging, due low signal-to-noise ratio (SNR) the demand of sampling rate in detection. To circumvent these challenges, we here propose a scheme that exploits Haar wavelets as illuminating patterns with bi-frequency light projecting system frequency-selecting single-pixel detectors. This...

Abstract Ghost imaging is usually based on the optoelectronic process and electronic computing. A new ghost approach put forward in paper that avoids any or process. Instead, proposed scheme exploits all-optical correlation vision persistence effect to generate images observed by naked eyes. To realize high contrast naked-eye imaging, a special pattern-scanning architecture low-speed light-modulation disk designed, which also enables high-resolution with lower-order Hadamard vectors boosts...

Federated continual learning (FCL) aims to learn from sequential data stream in the decentralized federated setting, while simultaneously mitigating catastrophic forgetting issue classical learning. Existing FCL methods usually employ typical rehearsal mechanisms, which could result privacy violations or additional onerous storage and computational burdens. In this work, an efficient non-IID robust framework, called Prototype-Augmented Prompt Learning (FPPL), is proposed. The FPPL can...

Abstract The current approach to 2D optical phased array (OPA) encounters challenges, such as the requirement for a highly tunable laser that is incompatible with certain beam-steering applications or significant power consumption, large antenna spacing and complex wiring resulting from independent control of elements. To address these we propose an OPA architecture based on cascaded periodically poled LiNbO 3 sequences, multi-layered domains engineered structure within electro-optic...

Due to the advantages that different from traditional imaging methods, ghost (GI) attracts more and researchers' attention, which has potential applications in fields of lidar, non-field-of-view imaging, etc. On other hand, GI been suffering poor quality high sampling rate. In recent years, compressed sensing (CS)-based deep learning (DL)-based methods have studied improve bottleneck problems GI, respectively. However, such as computational complexity, parameter selection interpretability...

Three-dimensional (3D) imaging under the condition of weak light and low signal-to-noise ratio is a challenging task. In this paper, 3D scheme based on time-correlated single-photon counting technology proposed demonstrated. The scheme, which composed pulsed laser, scanning mirror, detectors, module, employs for LiDAR (Light Detection Ranging). Aided by range-gated technology, experiments show that can image object when decreased to −13 dB improve structural similarity index results 10...

A new architecture, naked-eye ghost imaging via photoelectric feedback, is developed that avoids computer algorithm processing. Instead, the proposed scheme uses a feedback loop to first realize correlation (multiplication) process of traditional system. Then, vision persistence effect naked eye exploited implement integral and generate negative images. Two kinds circuits, digital circuit analog circuit, are presented can achieve operation. Based on this design, high-contrast real-time...

Ghost imaging (GI) has recently emerged as a promising new technology, generating considerable interest in the field. Using appropriate speckles GI can result higher-quality reconstructed target images. The conventional method of projecting random to illuminate unknown targets often results low efficiency and poor image reconstruction quality. Recently, we find that act similarly fully-connected layers neural networks, terms information processing transmission. Therefore, propose an improved...