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Why do I get a "Too many input arguments" error when not passing any?

  I am working on some simple object-oriented code in MATLAB. I am trying to call one of my class methods with no input or output arguments in its definition. Function definition: function roll_dice Function call: obj.roll_dice; When this is executed, MATLAB says:    ??? Error using ==> roll_dice Too many input arguments. Error in ==> DiceSet>Diceset.Diceset at 11 obj.roll_dice; (etc...) Anyone have any ideas what could be causing it? Are there secret automatic arguments I'm unaware that I'm passing?   NOTE:- Matlabsolutions.com  provide latest  MatLab Homework Help, MatLab Assignment Help  ,  Finance Assignment Help  for students, engineers and researchers in Multiple Branches like ECE, EEE, CSE, Mechanical, Civil with 100% output.Matlab Code for B.E, B.Tech,M.E,M.Tech, Ph.D. Scholars with 100% privacy guaranteed. Get MATLAB projects with source code for your learning and research.     Answers:  When you ma...
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How is full convolution performed using MATLAB's conv2 function?

  Answer In MATLAB, the  conv2  function is used to perform 2D convolution between two matrices. The syntax of  conv2  is as follows:    C = conv2(A, B) Here,  A  and  B  are input matrices, and  C  is the output matrix after convolution. When  A  and  B  have the same size, the convolution is called "full convolution," which means that the output matrix  C  has the same size as the sum of the sizes of  A  and  B  minus 1. To perform full convolution using  conv2 , the input matrices  A  and  B  are first flipped both horizontally and vertically. Then, the flipped  B  matrix is slid over  A  matrix, and the dot product of the overlapped elements is computed and added up. This process is repeated for all possible positions of  B  on  A . The resulting matrix is the full convolution output  C . Here is an exampl...
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Why Red, Green, Blue channels of image separetely are grayscaled (Matlab)?

  Answer When an image is loaded into MATLAB, it is usually stored as a matrix of values representing the intensities of the pixels in the image. For a color image, this matrix is usually three-dimensional, with one dimension for each color channel (red, green, and blue). To convert a color image to grayscale, one common approach is to take a weighted average of the red, green, and blue channels, using coefficients that reflect the relative importance of each color channel in human perception. In MATLAB, the  rgb2gray  function uses the formula  0.2989 * R + 0.5870 * G + 0.1140 * B  to convert a color image to grayscale, where R, G, and B are the red, green, and blue channels of the image, respectively. These coefficients NOTE:- Matlabhelpers.com  provide latest  MatLab Homework Help , MatLab Assignment Help  ,  Finance Assignment Help  for students, engineers and researchers in Multiple Branches like ECE, EEE, CSE, Mechanical, Civil wit...
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