Use MATLAB to analyze data, develop algorithms, and create applications. Solve problems for a range of applications, including signal processing and communications, image and video processing, control systems, and test and measurement.
GPU Coder enables users to generate optimized CUDA code from MATLAB for deep learning, embedded vision, and autonomous systems. The generated code automatically calls optimized NVIDIA CUDA libraries, including TensorRT, cuDNN, and cuBLAS, to run on NVIDIA GPUs with low latency and high-throughput....
Using either MATLAB or MATLAB Online, the students completed assignments on parallel programming and technical computing. I worked with the MathWorks team to build these interactive assignments in MATLAB Grader, which automatically graded the code that the students submitted. In addition to saving me t...
Please I need help with computing the power for each frequency band of an eeg signal. The initial filedata I have is in .edf format, which I filtered and is now in .set format. I found this code online; % This example Matlab code shows how to ...
Deep learning (DL) powers numerous applications on ubiquitous edge devices, but its high resource demands pose a challenge. Approximate computing is often
Biomed. Signal Process. Control 84, 104718 (2023) Article MATH Google Scholar Alweshah, M., Alkhalaileh, S., Al-Betar, M.A., Bakar, A.A.: Coronavirus herd immunity optimizer with greedy crossover for feature selection in medical diagnosis. Knowl.-Based Syst. 235, 107629 (2022) ...
This section presents the proposed MAPQ scheme for mobility-aware flow rule placement with SDN. Then its function is analyzed, providing more space for high-level flow rules and assuring the efficiency of the flow table management. Overview ...
5C). This finding extends our previous results, using neuron dropping curve (NDC) analyses, where we showed that decoding accuracy consistently improved when larger neuronal samples were recorded from a single brain4,5. Here, this analysis has been extended to visualize the effect of different ...
The numbers indicating the layers/arrays sizes refer to our processing 1024 complex-valued signal samples. Full size image We manipulate the following hyperparameters for the convolutional part of the neural network: the number of convolutional layers, the number of filters, the kernel size, stride...
This approach not only enabled them to design systems that met their performance objectives and complied with ITU standards, but also reduced design times by 30%. Read story Massachusetts Institute of Technology To identify proteins that could signal the presence of cancer, Massachusetts ...