A real-time embedded software implementation of a turbo encoder and soft output Viterbi algorithm based turbo decoder Turbo codes are used for error protection, especially in wireless systems. A turbo encoder consists of two recursive systematic convolutional component enc... MF Sabir,R Tripathi,BL ...
M. Ali, “Stereophonic echo cancellation system using time-varying all-pass fil- tering for signal decorrelation,” in Proc. IEEE ICASSP, 1998, pp. 3689–3692. S. Haykin, Adaptive Filter Theory, Prentice Hall International, 1996. D. R. Morgan, J. L. Hall, and J. Benesty, “Investigati...
In the field of 3D face alignment, most researchers have focused on improving the prediction accuracy of algorithms and ignored the portability for practical applications. To this end, this study presents a real-time 3D face-alignment method that uses an encoder-decoder network with an efficient ...
The second one uses an encoder鈥揹ecoder structure inspired by state-of-the-art convolutional neural networks for segmentation while maintaining a classical processing framework, thus not requiring training. It is shown that the second method's processing time is lower than the video acquisi...
Both the encoder and decoder of Informer can accept data input. The encoder processes a set of long-term data sequences, while the decoder handles sequences of the same length as the predicted sequence, combined with zeros. The encoder consists of multiple sets of multihead ProbSparse self-at...
Stanischewski, “FASTCHART – A Fast Time Deterministic CPU and Hardware Based Real-Time-Kernel.” In IEEE, Euromicro workshop on Real-Time Systems, June 1991. [9] L. Lindh, T. Klevin, and J. Furunäs, “Scalable Architecture for Real- Time Applications – SARA”. Swedish National ...
BlendMask: Top-Down Meets Bottom-Up for Instance Segmentationarxiv2020The University of Adelaide && Southeast University &&Huawei Noah’s Ark Lab Deep Snake for Real-Time Instance Segmentationcvpr2020snakeZhejiang University PolarMask: Single Shot Instance Segmentation with Polar Representationcvpr2020PolarMas...
(which is called Embedded real -time s ystem for short)has played a vital role in industry,t raffic,energy,science research and experiments,n ational defense .The article presen ts the characters of embedded system,analyses the structure of embedded r eal -time software and its trends and ...
All these works provide good accuracy but with a high computational cost, which mostly prevents its operation in real-time applications. Despite the numerous works dealing with the recognition of actions, HAR still remains an open issue in real scenarios, with open problems such as the different ...
One limitation of single-pixel cameras is the inherent trade-off between image resolution and frame rate, with current compressive (compressed) sensing techniques being unable to support real-time video. In this work we demonstrate the application of deep learning with convolutional auto-encoder ...