MATLAB: Too many input arguments.

max function -error

I don't have idea why is wrong. My program showed me this error

Probka: kaszel
WYKRYTO: ??? Error using ==> max
Too many input arguments.
Error in ==> rozpoznawanie_dzwiekow at 200
if  [smiech]==max(kaszel, smiech, krzyk, chrzakanie);

Best Answer

max([kaszel, smiech, krzyk, chrzakanie])

max(max(max(kaszel, smiech), krzyk), chrzakanie)

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MATLAB: What is the difference between FPGA Turnkey and IP Core Generation

Hi Yashar,

Both IP Core Generation and FPGA Turnkey workflows can help you prototype your Simulink/MATLAB algorithm on FPGA/SoC boards.

IP Core Generation workflow adopts the IP-centric design methodology. You can generate your own custom HDL IP core from your Simulink/MATLAB algorithm. This custom IP core is sharable and reusable, and also comes with a generated IP core report.

http://www.mathworks.com/help/releases/R2015a/hdlcoder/ug/custom-ip-core-generation.html

http://www.mathworks.com/discovery/ip-core-generation.html?s_tid=srchtitle

You can then integrate the generated IP core into a larger design in FPGA design tools such as Altera Qsys, or Xilinx Vivado/IP Integrator. You can also register your Vivado/Qsys project as a custom reference design, so the IP Core Generation workflow can help you integrate the IP core into the reference design automatically.

http://www.mathworks.com/help/releases/R2015a/hdlcoder/examples/define-and-register-custom-board-and-reference-design-for-soc-workflow.html

FPGA Turnkey workflow does not use the IP-centric design methodology. Instead, it generates the HDL codes for the whole FPGA design, including the algorithm HDL code, the FPGA top level wrapper HDL code, and FPGA Pin mapping constraints, so you can run your algorithm on standard alone FPGA board. FPGA Turnkey workflow targets FPGA boards only, it does not support Zynq/Altera SoC boards

http://www.mathworks.com/help/releases/R2015a/hdlcoder/xilinx-fpga-boards.html

Thanks, Wang

MATLAB: Error with results, matlab

max([array1, array2])

means

max(horzcat(array1, array2))

which in turn means

max(horzcat(array1, array2), [], 1)

which will calculate the column-by-column maximum of horzcat(array1, array2), which is going to give you a result which is 1 x (size(array1,2) + size(array2,2)) .

And then you try to compare the entire array array1 to the result of the max(), so you are comparing

size(array1,1) x size(array1,2)

1 x (size(array1,2) + size(array2,2))

and you can see by examination that the only way that can work is if array1 only has a single row and array2 is empty. (Well, that case would be treated differently by MATLAB, but you would still end up with mismatched lengths for the comparison)

Taking into account that you have entire arrays to be compared, what do you want your output to be? A 2D cell array of strings that indicates at each location which of the four arrays was the maximum at that point ? Or do you wish to know which of the four has the greatest average magnitude? Or something else?

Best Answer

Related Solutions

MATLAB: What is the difference between FPGA Turnkey and IP Core Generation

MATLAB: Error with results, matlab

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