Technical Computing with MATLAB Use MATLAB®to analyze data, develop algorithms, and create applications. Solve problems for a range of applications, including signal processing and communications, image and
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...
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signal (intensity received at the photodetector) typically spans from 0.1 µW to 0.1 mW. In this range of interest to many applications, the SNR of partially coherent light from EDFA ASE is not substantially lower compared with that of coherent light. The viable SNR of partially ...
I am currently working on doing fft on my wav audio signal. My goal is to recreate Matlab's function called "spectrogram", which does a STFT with moving Hammington window.My first attempt was to represent my input data as a vector (size of the window, padded with zeros) and output is...
with cell localization/segmentation as central tasks. Automated segmentation in live-cell cytosolic\hbox {Ca}^{2+}imaging data is, however, challenging due to temporal image intensity fluctuations, low signal-to-noise ratio, and photo-bleaching. Here, we propose a reservoir computing (RC) framewor...
The advancing complexity of automobile structure and continuous evolvement of automobile functionality has increased the difficulties of automobile fault diagnosis. This study investigates the effectiveness and efficiency of particle swarm optimization-based adaptive neurofuzzy inference system (PSO-ANFIS) ...
This system is composed of a transmitter, a channel model, and a receiver. The transmitter processes the input bit stream with a convolutional encoder, an interleaver, a modulator, and a MIMO space-time block encoder (see [1], [2]). The transmitted signal is then process...
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 ...