Matlab cell array access

    • [DOC File]Brain lab: Matlab tutorial - MIT

      https://info.5y1.org/matlab-cell-array-access_1_84c1bf.html

      The figure below, taken from the MATLAB documentation, shows a 2 x 3 cell array containing numerical arrays, text arrays, and a nested cell array (cell 2,3). With cell arrays, when assigning elements use the curly brackets instead of parentheses. Here is how to access the elements of a cell array: >> tmp=a{1, 1}; >> tmp2=a(1, 1);

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    • Cell Arrays - MATLAB & Simulink

      It is called a cell array. Unlike the rows of a matrix, each element in a cell array can hold something totally different. In this case, each element in the cell array holds the spike times for each run of the movie. To access the contents of a cell array, you need to use curly brackets: ERIC – as you see fit

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    • [DOCX File]ΠΑΝΕΠΙΣΤΗΜΙΟ ΚΥΠΡΟΥ

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      To connect MATLAB with MS Access database, you need to set up the specified data source. In this case I have setup the data source for ODBC drivers. ... Store data retrieved from a database in a MATLAB cell array, structure, or numeric matrix. Process …

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    • [DOC File]MATLAB Parallel Computing Toolbox

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      Data types are automatically preserved in MATLAB--No data massaging or manipulation is required. The data is stored in MATLAB as cell arrays or structures, which support mixed data types, or as numeric matrices, per your specification. Export numeric, cell array, or structure data.

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    • [DOC File]MACHINE LEARNING .pk

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      Notice that xlsread also returns the contents of hidden excel cells and replaces them with NaN elements in the cell array output. Other formatted cells are also interpreted as NaN elements. Verify that this is indeed the case by comparing the cell array elements with the corresponding cells in the excel file.

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    • [DOC File]Logging into the cluster

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      r = fetchOutputs(j) % Get results into a cell array. r{1} % Display result. Implementing Data-Parallel Applications using the Toolbox and MATLAB Distributed Computing Server. Distributed arrays in Parallel Computing Toolbox are special arrays that hold several times the amount of data that your desktop computer’s memory (RAM) can hold.

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