VLSI implementation of a discrete cosine transform
Discrete Cosine transforms, (DCT), were originally introduced for digital signal processing, (DSP), for the purpose of pattern recognition and Wiener filtering. The 2D DCT is used for transform coding of images in telecommunications.
D Crook (9851147)
core
An instance‐level, model‐agnostic explanation of class differentiation is introduced through SHAP‐LCD, linking probability shifts to feature‐wise Shapley contributions. The method operates on tabular and image data and is released in a fully reproducible implementation, offering a transparent way to examine, at each instance, why predictive models ...
Roxana M. Romero Luna +2 more
wiley +1 more source
Classification of Severity of Lung Parenchyma Using Saliency and Discrete Cosine Transform Energy in Computed Tomography of Patients With COVID-19. [PDF]
Tello-Mijares S, Flores F, Woo F.
europepmc +1 more source
A physics‐guided deep learning framework, ParamNet, is introduced for the intelligent self‐inversion of vacuum optical tweezers. By fuzing dual‐branch time–frequency features with physical dynamical constraints, it achieves high‐accuracy calibration of trap parameters from short‐window, low‐frequency trajectories, outperforming traditional methods ...
Qi Zheng +4 more
wiley +1 more source
Efficient motion estimation and discrete cosine transform implementation using the graphics processing units. [PDF]
Agha S +4 more
europepmc +1 more source
Identification of Premature Ventricular Cycles of Electrocardiogram Using Discrete Cosine Transform-Teager Energy Operator Model. [PDF]
Sharmila V, Reddy KA.
europepmc +1 more source
Computation of Symmetric Discrete Cosine Transform Using Bakhvalov's Algorithm
A number of algorithms for recursive computation of the discrete cosine transform (DCT) have been developed recently. This paper presents a new method for computing the discrete cosine transform and its inverse using Bakhvalov's algorithm, a method ...
Dorband, John E. +2 more
core
Soft Active Electromyography Interface for Machine Learning‐Enabled Silent Speech Recognition
A soft, hand‐worn electromyography interface enables intent‐driven silent speech recognition without continuous facial attachment. The device integrates liquid‐metal interconnects, a transparent flexible circuit, and elastomer encapsulation with a fingertip electrode that contacts perioral muscles only on demand.
Yuta Kurotaki +8 more
wiley +1 more source
Color-CADx: a deep learning approach for colorectal cancer classification through triple convolutional neural networks and discrete cosine transform. [PDF]
Sharkas M, Attallah O.
europepmc +1 more source
Rate-Distortion Optimization For Image Compression Using Warped
Recently, warped discrete cosine transform(WDCT) has been proposed [1, 2], which is the cascade of allpass filters and DCT. The role of the allpass filters is to warp the input frequency contents to be suitable for compression by DCT.
Il Koo Kim +2 more
core

