Rohit Pappu
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Programming Languages:
C++, Javascript
C++, Javascript
Solve all the problems in CUP Challenge
Awarded to Rohit Pappu on 29 Apr 2023
20 of your answers have been accepted
Awarded to Rohit Pappu on 04 Apr 2021
Answer 10 questions that were unanswered for more than 30 days
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Contribute at least one answer each month for 6 consecutive months
Awarded to Rohit Pappu on 02 Feb 2021
MATLAB Central Treasure Hunt finisher badge
Awarded to Rohit Pappu on 20 Dec 2020
Solve all the problems in Introduction to MATLAB problem group
Awarded to Rohit Pappu on 30 Nov 2020
Like a problem or solution
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Solve a problem for the first time
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Provide your first answer ever to someone else's question
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Feeds
已回答
Export data via data inspector
Hi Beni, As of R2023a, Simulink.sdi.exportRun accepts vector of runID as input argument. Please refer to this documentation ...
Export data via data inspector
Hi Beni, As of R2023a, Simulink.sdi.exportRun accepts vector of runID as input argument. Please refer to this documentation ...
1 year 前 | 0
已回答
Injecting (and combining) a sine wave after a period of time
A plausible solution is as follows Generate the required sinusoidal signal %define sine wave %%Time specifications: Fs = ...
Injecting (and combining) a sine wave after a period of time
A plausible solution is as follows Generate the required sinusoidal signal %define sine wave %%Time specifications: Fs = ...
3 years 前 | 0
已回答
finding peaks in Simulink
findpeaks accepts only vector data as it's input arguments. A possible workaround would be to use a Buffer block in between Simu...
finding peaks in Simulink
findpeaks accepts only vector data as it's input arguments. A possible workaround would be to use a Buffer block in between Simu...
3 years 前 | 0
已回答
User Defined Montage but filling 12x8 Array
A possible workaround is as follows % Create an empty cell array of size 12x8 imgList = cell(96); % calculate the cell arra...
User Defined Montage but filling 12x8 Array
A possible workaround is as follows % Create an empty cell array of size 12x8 imgList = cell(96); % calculate the cell arra...
3 years 前 | 0
已回答
Calculate mean distance between lines in an image
For extracting the straight lines, a plausible solution is as follows Find edges in the image using edge function Apply hough ...
Calculate mean distance between lines in an image
For extracting the straight lines, a plausible solution is as follows Find edges in the image using edge function Apply hough ...
3 years 前 | 0
已回答
How to create 95 and 99 percent confidence ellipses around my data
Please refer to this answer for leads on how to plot confidence ellipses
How to create 95 and 99 percent confidence ellipses around my data
Please refer to this answer for leads on how to plot confidence ellipses
3 years 前 | 0
已回答
Plot 2D Gaussian spot and histograms of horizontal and vertical axis in one figure
The above diagram can be created using subplot (for creating the grid of plots) and camroll (for rotating the histogram) % Crea...
Plot 2D Gaussian spot and histograms of horizontal and vertical axis in one figure
The above diagram can be created using subplot (for creating the grid of plots) and camroll (for rotating the histogram) % Crea...
3 years 前 | 1
| 已接受
已回答
Finding circle in image
Please refer to the following answer for some tips on how to improvecircle detection using regionprops https://www.mathworks.co...
Finding circle in image
Please refer to the following answer for some tips on how to improvecircle detection using regionprops https://www.mathworks.co...
3 years 前 | 0
| 已接受
已回答
How to convert augmented datastore to image datastore?
For augmening input data in the pixelLabelImageDatastore, the Data Augmentation property of pixelLabelImageDatastore can be set....
How to convert augmented datastore to image datastore?
For augmening input data in the pixelLabelImageDatastore, the Data Augmentation property of pixelLabelImageDatastore can be set....
3 years 前 | 0
已回答
Which App in Machine Learning and Deep Learning is best for strongly nonlinear and chaotic data?
For Nonlinear datasets, it is recommended to use fitnlm. An example about predicting using non linear regression can be found he...
Which App in Machine Learning and Deep Learning is best for strongly nonlinear and chaotic data?
For Nonlinear datasets, it is recommended to use fitnlm. An example about predicting using non linear regression can be found he...
3 years 前 | 0
| 已接受
已回答
How to solve a transcendental differential equation?
Please refer to this community answer
How to solve a transcendental differential equation?
Please refer to this community answer
3 years 前 | 0
已回答
how can we generate a vector of length 100 with random number in between 0 and 1 with uniform probability such that sum of these numbers/100 is equal to 0.75
Please use randfixedsum, available on the File Exchange https://www.mathworks.com/matlabcentral/fileexchange/9700-random-vecto...
how can we generate a vector of length 100 with random number in between 0 and 1 with uniform probability such that sum of these numbers/100 is equal to 0.75
Please use randfixedsum, available on the File Exchange https://www.mathworks.com/matlabcentral/fileexchange/9700-random-vecto...
3 years 前 | 0
| 已接受
已回答
How to create a dataset with an Epsilon Skew Normal distribution?
Currently, there isn't any MATLAB function to generate Epsilon Skew Normal DIstribution, but there is a workaround for it. Plea...
How to create a dataset with an Epsilon Skew Normal distribution?
Currently, there isn't any MATLAB function to generate Epsilon Skew Normal DIstribution, but there is a workaround for it. Plea...
3 years 前 | 0
已回答
How can we solve this, how to convert mupad to live script?
Please refer to the following link - https://www.mathworks.com/help/symbolic/convert-mupad-notebooks-to-matlab.html
How can we solve this, how to convert mupad to live script?
Please refer to the following link - https://www.mathworks.com/help/symbolic/convert-mupad-notebooks-to-matlab.html
3 years 前 | 0
已回答
relative error of machine epsilon
According to the formal definition, the approximation of Machine Epsilon is as follows epsilon = 1.0; while (1.0 + 0.5 * eps...
relative error of machine epsilon
According to the formal definition, the approximation of Machine Epsilon is as follows epsilon = 1.0; while (1.0 + 0.5 * eps...
3 years 前 | 0
已回答
Create a function myPrimes that returns the first n primes as a vector, given a positive integer. For example, if the positive integer is 5, the vector returned would include 1, 2, 3, 5, 7. In your script, prompt the user for the positive integer val
Refactor the first two lines to clc; n=input('Prime Numbers until:'); output = myPrimes(n) Edit : Addressed @Rik 's feedba...
Create a function myPrimes that returns the first n primes as a vector, given a positive integer. For example, if the positive integer is 5, the vector returned would include 1, 2, 3, 5, 7. In your script, prompt the user for the positive integer val
Refactor the first two lines to clc; n=input('Prime Numbers until:'); output = myPrimes(n) Edit : Addressed @Rik 's feedba...
3 years 前 | 0
已回答
Monitor Deep Learning Training Progress
I tried reproducing the above issue using an example provided in the documentation - digitDatasetPath = fullfile(matlabroot,'t...
Monitor Deep Learning Training Progress
I tried reproducing the above issue using an example provided in the documentation - digitDatasetPath = fullfile(matlabroot,'t...
3 years 前 | 0
| 已接受
已回答
What is the triangular and rectangle block symbols in this model, from the two pictures?
The triangular block is a Gain Block while the Temperature Sensor could be a subsystem. As an alternative option, Ideal Temperat...
What is the triangular and rectangle block symbols in this model, from the two pictures?
The triangular block is a Gain Block while the Temperature Sensor could be a subsystem. As an alternative option, Ideal Temperat...
3 years 前 | 0
已回答
Reduce read (characteristic) timeout for BLE
As of the current release, the default timeout of read cannot be configured. If a given characteristic supports 'Notify' attrib...
Reduce read (characteristic) timeout for BLE
As of the current release, the default timeout of read cannot be configured. If a given characteristic supports 'Notify' attrib...
3 years 前 | 0
已回答
Lanczos kernel for image resizing (imresize function)
The Lanczos-2 algorithm precalculates the coefficients based on the resize factor. The model calls the lanczos2_coeffi.m script ...
Lanczos kernel for image resizing (imresize function)
The Lanczos-2 algorithm precalculates the coefficients based on the resize factor. The model calls the lanczos2_coeffi.m script ...
3 years 前 | 2
已回答
MatLab r2020b from Database Toolbox - How to Configure Data Source from Microsoft 2016 MSExcel(64Bit) & MSAccess(64bit)
The data source configuration can be done using configureODBCDataSource. Additional documentation can be found here
MatLab r2020b from Database Toolbox - How to Configure Data Source from Microsoft 2016 MSExcel(64Bit) & MSAccess(64bit)
The data source configuration can be done using configureODBCDataSource. Additional documentation can be found here
3 years 前 | 0
已回答
When does Matlab consider a Neural Network deep?
trainNetwork works with Deep Learning Layers. Additional Information can be found here
When does Matlab consider a Neural Network deep?
trainNetwork works with Deep Learning Layers. Additional Information can be found here
3 years 前 | 0
已回答
How can I solve mini-batch size issue in my LSTM network?
A plausible solution would be to Change the MiniBatch SIze to 114 Convert Xcell, Ycell, and XTestCell to double type Xcell = ...
How can I solve mini-batch size issue in my LSTM network?
A plausible solution would be to Change the MiniBatch SIze to 114 Convert Xcell, Ycell, and XTestCell to double type Xcell = ...
3 years 前 | 0
| 已接受
已回答
Can't use laplace transformed expression with transfer function.
A plausible solution is as follows % Collect the coefficients of r2 h = collect(r2); % Split the coefficients into numerator ...
Can't use laplace transformed expression with transfer function.
A plausible solution is as follows % Collect the coefficients of r2 h = collect(r2); % Split the coefficients into numerator ...
3 years 前 | 2
| 已接受
已回答
optical power vs distance
A plausible solution clf; figure; % Create a distance vector of range 1m to 3m distance = linspace(1,3,101); hold on % plo...
optical power vs distance
A plausible solution clf; figure; % Create a distance vector of range 1m to 3m distance = linspace(1,3,101); hold on % plo...
3 years 前 | 0
| 已接受
已回答
Mac Bic Sur + R2020b
Gatekeeper could be preventing the installation of MATLAB. Please refer to this answer for a workaround
Mac Bic Sur + R2020b
Gatekeeper could be preventing the installation of MATLAB. Please refer to this answer for a workaround
3 years 前 | 0
已回答
How to plot a sphere using PLOTCUBE command?
A possible solution is as follows clf; figure hold on tic % Using spherical coordinates to plot the cubes for r = linspace...
How to plot a sphere using PLOTCUBE command?
A possible solution is as follows clf; figure hold on tic % Using spherical coordinates to plot the cubes for r = linspace...
3 years 前 | 0
已回答
Power spectrum of an image
To plot the power spectrum of an image, periodogram can be used. An example usage I = imread('dummy.jpg'); % Plots the perio...
Power spectrum of an image
To plot the power spectrum of an image, periodogram can be used. An example usage I = imread('dummy.jpg'); % Plots the perio...
3 years 前 | 0
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