Digital Signal Processing is not a recent research field, but has become a powerful technology to solve engineering problems in the last few decades due to the introduction by Texas Instruments in 1982 of the Digital Signal Processor. Fast digital signal processors have quickly become a cornerstone...
The logic blocks in FPGAs are configured to realize complex combinational functions describing the operation of different functional units of combinational type: encoders, decoders, multiplexers, demultiplexers, code converters, digital comparators and various arithmetic circuits. One of the issues ...
Predicting drug-target interactions (DTI) is a complex task. With the introduction of artificial intelligence (AI) methods such as machine learning and deep learning, AI-based DTI prediction can significantly enhance speed, reduce costs, and screen poten
A novel 4D dual-memristor chaotic system (4D-DMCS) is constructed by concurrently introducing two types of memristors: an ideal quadratic smooth memristor and a memristor with an absolute term, into a newly designed jerk chaotic system. The excellent nonlinear properties of the system are investigat...
manager of Zoran's mobile division. "The power savings is achieved in the design of our COACH processor and in the system architecture we deliver to the digital camera manufacturers. The success of the design has been proven by Zoran's growing market share of the overall digital camera market...
Deeplabv3 + and Resnet18 networks were used as encoders and decoders to achieve the image segmentation between triploid and diploid seeds, with a global classification accuracy of 98.2% obtained. Due to the differences in internal components between seeds and other impurities, hyperspectral ...
Voiceband “codecs” (coder/decoders) having many applications other than PCM, such as speech processing, encryption, etc., are available in a variety of types.Sigma-delta ADCs and DACs also dominate the more demanding audio markets, including, for example, FM stereo, computer audio, stereo ...
Convolutional neural network (CNN), a class of artificial neural networks that has become dominant in various computer vision tasks, is attracting interest across a variety of domains, including radiology. CNN is designed to automatically and adaptively learn spatial hierarchies of features through back...
Learning phrase representations using RNN encoder-decoder for statistical machine translation EMNLP 2014 - 2014 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference (2014), 10.3115/v1/d14-1179 Google Scholar Connor et al., 1994 J.T. Connor, R.D. Martin, ...
Cidana’s mobile media solution aims to be a one-stop-shop for solving the complex problem of world-wide multimedia playback, streaming, and mobile TV compatibility. Cidana supports most popular multimedia formats such as, MOV, AVI, RMVB, ASF, MKV and 3GP etc. Our efficient decoders can ...