Efficient LOS-Sampled GNSS Direct Position Estimation: An Information-Loss CRB Analysis

Kavli Affiliate: Wei Gao| Summary:Conventional Global Navigation Satellite System (GNSS) Direct Position Estimation (DPE) exploits raw intermediate-frequency (IF) data and provides a full-information Cramér-Rao Bound (CRB) benchmark, but its accumulated-correlation objective requires dense evaluations over a common Position, Velocity, and Time (PVT) search space. This paper proposes an efficient Line-of-Sight (LOS)-sampled DPE, where each satellite […]


Continue.. Efficient LOS-Sampled GNSS Direct Position Estimation: An Information-Loss CRB Analysis

Spatial sparse sampling-based iterative optimization framework for GNSS Direct Position Estimation

Kavli Affiliate: Wei Gao| Summary:Direct position estimation (DPE), a promising technique in Global Navigation Satellite Systems (GNSS) receivers, enables estimation of position, velocity, and time (PVT) solutions directly from correlator outputs. The conventional grid search (GS)-based DPE is computationally intensive, as it relies solely on locating the peak of the cross ambiguity function (CAF), and […]


Continue.. Spatial sparse sampling-based iterative optimization framework for GNSS Direct Position Estimation

Generation of entanglement statistics with a large-scale integrated photonic-electronic circuit

Kavli Affiliate: Ali Hajimiri | Summary:Continuous-variable quantum processors scale with the modes they can transform, and each transformation adds loss. We demonstrate optoelectronic quantum information processing, moving the mixing into radio-frequency electronics after homodyne detection. Squeezed vacuum falls on a large-scale integrated photonic-electronic circuit, a 32-channel coherent receiver array whose radio-frequency network mixes the analog […]


Continue.. Generation of entanglement statistics with a large-scale integrated photonic-electronic circuit

Dual-polarized, mid-infrared nonreciprocal absorption

Kavli Affiliate: Harry Atwater | Summary:The emission and absorption of thermal radiation are usually coupled via Kirchhoff’s law or reciprocity, stated as the equality of spectral directional emissivity and absorptivity. Magneto-optical materials have recently been identified as a promising route to lifting the constraint of reciprocity, with multiple experimental demonstrations using doped InAs. However, these […]


Continue.. Dual-polarized, mid-infrared nonreciprocal absorption

ValueGraph: Value-Signal Guided Graph Pre-training for Contextualized User Representation

Kavli Affiliate: Wei Gao| Summary:Value signals are aggregated user-level moral representations that capture users’ inferred value-related tendencies from their online discourse. User behavior on social media is shaped not only by what users say or whom they interact with, but also by the value signal through which they express attitudes. Existing user representation methods largely […]


Continue.. ValueGraph: Value-Signal Guided Graph Pre-training for Contextualized User Representation

Pre-shipment optical characterization of the SCALES instrument

Kavli Affiliate: Dimitri Mawet| Summary:The Slicer Combined with an Array of Lenslets for Exoplanet Spectroscopy (SCALES) instrument is a 1-5 micron imager and 2-5 micron integral field spectrograph, currently being commissioned on the Keck II Telescope. SCALES is optimized for exoplanet high-contrast imaging and spectroscopic characterization, and will be sensitive to older, colder exoplanets than […]


Continue.. Pre-shipment optical characterization of the SCALES instrument

Frequency Synchronization Circuit Model for Analog Vector-Matrix Multiplication in the Frequency Domain

Kavli Affiliate: Michael Roukes | Summary:This work introduces a frequency synchronization circuit model for analog vector-matrix multiplication in the frequency domain. The frequency synchronization is implemented by coupling oscillators through all-to-all connections. Each oscillator is implemented using complementary cross-coupled transconductance pairs and RC high-pass filters. In this work, the frequency synchronization is achieved not only […]


Continue.. Frequency Synchronization Circuit Model for Analog Vector-Matrix Multiplication in the Frequency Domain

Frequency Synchronization Circuit Model for Analog Vector-Matrix Multiplication in the Frequency Domain

Kavli Affiliate: Michael Roukes | Summary:This work introduces a frequency synchronization circuit model for analog vector-matrix multiplication in the frequency domain. The frequency synchronization is implemented by coupling oscillators through all-to-all connections. Each oscillator is implemented using complementary cross-coupled transconductance pairs and RC high-pass filters. In this work, the frequency synchronization is achieved not only […]


Continue.. Frequency Synchronization Circuit Model for Analog Vector-Matrix Multiplication in the Frequency Domain

Quantum-enhanced ghost imaging recognition via joint optimization of speckle patterns and quantum network parameters

Kavli Affiliate: Anqi Zhang| Summary:Ghost imaging enables nonlocal image reconstruction and exhibits strong robustness against interference, but achieving high-fidelity recognition at ultra-low sampling rates remains challenging. Quantum machine learning offers a novel approach for efficient feature extraction on noisy medium-scale quantum devices; however, existing methods generally suffer from low recognition accuracy and weak noise resistance. […]


Continue.. Quantum-enhanced ghost imaging recognition via joint optimization of speckle patterns and quantum network parameters

MIMONet: Multi-scale Input and Multi-scale Output Network for Salient Object Detection

Kavli Affiliate: Wei Gao| Summary:The existing methods for saliency detection task focus on the application of multi-level features, aiming to take advantage of the respective strengths of high- and low-level features. However, because the inputs of these models are single-size images, their multi-level features have difficulty in learning the knowledge of size variations of salient […]


Continue.. MIMONet: Multi-scale Input and Multi-scale Output Network for Salient Object Detection