Results 61 to 70 of about 1,194,201 (348)
Efficient and Scalable Neural Residual Waveform Coding with Collaborative Quantization [PDF]
Scalability and efficiency are desired in neural speech codecs, which supports a wide range of bitrates for applications on various devices. We propose a collaborative quantization (CQ) scheme to jointly learn the codebook of LPC coefficients and the ...
Kai Zhen+4 more
semanticscholar +1 more source
The core contribution of this paper is to introduce a general neat scheme based on soft vector clustering for the dithering of multidimensional signals that works in any space of arbitrary dimensionality, on arbitrary number and distribution of ...
Mohamed Attia+3 more
doaj +1 more source
Max–Min Rate of Cell-Free Massive MIMO Uplink With Optimal Uniform Quantization [PDF]
Cell-free massive multiple-input–multiple-output (MIMO) is considered, where distributed access points (APs) multiply the received signal by the conjugate of the estimated channel, and send back a quantized version of this weighted signal to a central ...
M. Bashar+5 more
semanticscholar +1 more source
A materials and device design concept that comprises a self‐assembled ultra‐thin epitaxial ion‐transporting layer, an amorphous oxide overcoat oxygen‐blocking layer, and a partial filament formed during an electroforming step is proposed for low‐current multilevel resistive switching devices.
Ming Xiao+17 more
wiley +1 more source
Feedback Reduction in Uplink MIMO OFDM Systems by Chunk Optimization
The performance of multiuser MIMO systems can be significantly increased by channel-aware scheduling and signal processing at the transmitters based on channel state information.
Arogyaswami Paulraj+3 more
doaj +1 more source
Results on lattice vector quantization with dithering [PDF]
The statistical properties of the error in uniform scalar quantization have been analyzed by a number of authors in the past, and is a well-understood topic today. The analysis has also been extended to the case of dithered quantizers, and the advantages
Kiraç, Ahmet, Vaidyanathan, P. P.
core +1 more source
REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs [PDF]
Deep neural networks (DNNs), as the basis of object detection, will play a key role in the development of future autonomous systems with full autonomy. The autonomous systems have special requirements of real-time, energy-e cient implementations of DNNs ...
Caiwen Ding+5 more
semanticscholar +1 more source
Selective soldering via molten metal printing enables component integration, even in heat‐sensitive applications across fields like additive manufacturing, sustainable electronics, and smart textiles. This method overcomes the temperature limitations of existing technologies.
Dániel Straubinger+4 more
wiley +1 more source
Gate‐Tunable Hole Transport in In‐Plane Ge Nanowires by V‐Groove Confined Selective Epitaxy
Ge nanowires are promising for hole spin‐based quantum processors, requiring direct integration onto Si wafers. This work introduces V‐groove‐confined selective epitaxy for in‐plane nanowire growth on Si. Structural and low‐temperature transport measurements confirm their high crystalline quality, gate‐tunable hole densities, and mobility.
Santhanu Panikar Ramanandan+11 more
wiley +1 more source
Geometric multi‐bit patterning based on dynamic wetting and dewetting phenomena creates roulette‐like Physical Unclonable Function (PUF) labels with stochastic yet deterministic properties. This method leverages the solutal‐Marangoni effect for high randomness while achieving deterministic multinary patterns through polygonal confinement of binary ...
Yeongin Cho+8 more
wiley +1 more source