Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj +2 more
wiley +1 more source
Retinal spike train decoder using vector quantization for visual scene reconstruction
The retinal impulse signal is the basic carrier of visual information. It records the distribution of light on the retina. However, its direct conversion to a scene image is difficult due to the nonlinear characteristics of its distribution.
Kunwu Ma +5 more
doaj +1 more source
Retracted: Manta Ray Foraging Optimization with Vector Quantization Based Microarray Image Compression Technique. [PDF]
Intelligence And Neuroscience C.
europepmc +1 more source
Computationally efficient optimum weighting function for vector quantization of LSF parameters
We propose a new weighting function which is computationally simple and an approximation to the theoretically derived optimum weighting function shown in the literature.
Chatterjee, Saikat, Sreenivas, TV
core
Sequential multicolor fluorescence imaging in dynamic microsystems is constrained by acquisition speed and excitation dose. This study introduces a real‐time framework to reconstruct spectrally separated channels from reduced cross‐channel acquisitions (frames containing mixed spectral contributions).
Juan J. Huaroto +3 more
wiley +1 more source
Retracted: Using an Optimized Learning Vector Quantization- (LVQ-) Based Neural Network in Accounting Fraud Recognition. [PDF]
Intelligence And Neuroscience C.
europepmc +1 more source
Wavelet-based video codec using human visual system coefficients for 3G mobiles
A new wavelet based video codec that uses human visual system coefficients is presented. In INTRA mode of operation, wavelet transform is used to split the input frame into a number of subbands.
Soraghan, J.J., Sheikh Akbari, A.
core
Calibration‐Free Electromyography Motor Intent Decoding Using Large‐Scale Supervised Pretraining
Calibration‐free electromyography motor intent decoding is enabled through large‐scale supervised pretraining across heterogeneous datasets. A Spatially Aware Feature‐learning Transformer processes variable channel counts and electrode geometries, allowing transfer across users and recording setups. On a held‐out benchmark, fine‐tuned cross‐user models
Alexander E. Olsson +3 more
wiley +1 more source
Fast Codebook Search Algorithms Based on Tree-Structured Vector Quantization
[[abstract]]Tree-structured vector quantization (TSVQ) is a highly efficient technique for locating an appropriate codeword for each input vector.
Chang, C. C. ; Li, Y. C. ; Yeh, J. B.
core
A Memristor‐Based In‐Memory Computing System‐on‐Chip with Efficient Depthwise Convolution
We present a memristor‐based in‐memory computing (IMC) architecture that enables efficient depthwise convolution (DWC) acceleration. Fabricated in a system‐on‐chip with crossbar arrays, the design improves memory utilization. Experimental validation demonstrates the first hardware acceleration of DWC in IMC, achieving a digital comparable inference ...
Wenhao Song +21 more
wiley +1 more source

