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Tim Matteson liked Sandipan Dey's blog post Fourier Series and Differential Equations with some applications in R (Part 1)

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"Due to formatting issue some part of code are replaced by junk html elements: for example a &amp;amp;amp;amp;gt;0 is to be read as a > 0"

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Sandipan Dey's blog post was featured### Fourier Series and Differential Equations with some applications in R (Part 1)

In this article, a few applications of Fourier Series in solving differential equations will be described. All the problems are taken from the edx Course: MITx - 18.03Fx: Differential Equations Fourier Series and Partial Differential Equations. The article will be posted in two parts (two separate blongs)First a basic introduction to the Fourier series will be given and then we shall see how to solve the following ODEs / PDEs using Fourier series:Find the steady state solution to un-damped /…See More

yesterday

Kapil Vishwakarma commented on Sandipan Dey's blog post A Semi-Supervised Classification Algorithm using Markov Chain and Random Walk in R

"Since it says, “...using Markov Chain and Random Walk in R,” where is the R implementation of this?"

Jun 9

Lava Kafle liked Sandipan Dey's blog post Natural Language Processing: Measuring Semantic Relatedness

Mar 22

Anne Nies liked Sandipan Dey's blog post Implementing kd-tree for fast range-search, nearest-neighbor search and k-nearest-neighbor search algorithms in 2D in Java and python

Nov 14, 2019

Raj Singh liked Sandipan Dey's blog post Deep Learning with TensorFlow in Python: Convolution Neural Nets

Oct 16, 2019

Tauheedul Ali liked Sandipan Dey's blog post Few Machine Learning Problems (with Python implementation)

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Alex Souza liked Sandipan Dey's blog post Solving Simple Probability Problems with Simulation in R

Apr 15, 2019

- Job Title:
- Data Scientist

- Seniority:
- Technical

- Job Function:
- Data Science, Machine Learning, AI, Business Analytics, Deep Learning

- Short Bio:
- Currently Working as

Data Scientist, Turnoutnow

Research Interests

Data Mining, Machine Learning, Text Mining, Natural Language Processing, Information Retrieval, Optimization, Pattern Recognition, Algorithms, Programming/Problem Solving, Computational Photography, Computer Vision, Image Processing, Mathematics, Distributed/Cloud Computing.

Hobbies

Music, Movies

Education

MS, Computer Science, UMBC, USA

BE, Computer Science & Engineering, Jadavpur University, Calcutta, India

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https://sandipanweb.wordpress.com/

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https://umbc.academia.edu/SDey

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http://rosalind.info/users/sandipan/

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http://demonstrations.wolfram.com/preview.html?draft/04814/000001/

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https://www.coursera.org/user/i/f34069ce8df6de7dbebfedfb7e760d9f

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Posted on July 4, 2020 at 5:00pm 1 Comment 2 Likes

In this article, a few applications of Fourier Series in solving differential equations will be described. All the problems are taken from the **edx Course: MITx - 18.03Fx: Differential Equations Fourier Series and Partial Differential Equations**. The article will be posted in two parts (two separate blongs)

First a basic introduction to the Fourier series will be given and then we shall see how to solve the following ODEs / PDEs using Fourier series:

- Find…

Posted on August 16, 2018 at 1:30pm 0 Comments 1 Like

In this article a few more popular image processing problems along with their solutions are going to be discussed. Python image processing libraries are going to be used to solve these problems.

As described here, here is the algorithm:

- The cumulative histogram is computed for each image dataset, see the figure below.
- For any…

Posted on August 16, 2018 at 1:00pm 0 Comments 1 Like

In this article a few more popular image processing problems along with their solutions are going to be discussed. Python image processing libraries are going to be used to solve these problems.

Also, the spread in the frequency domain inversely proportional to the spread in the spatial domain. Here is the proof:…

ContinuePosted on August 16, 2018 at 1:00pm 0 Comments 0 Likes

In this article a few popular image processing problems along with their solutions are going to be discussed. Python image processing libraries are going to be used to solve these problems.

- A
*gray-scale*image can be thought of a 2-D function*f(x,y)*of the pixel…

- No comments yet!

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