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Blog Link: https://learnopencv.com/understanding-convolutional-neural-networks-cnn/ Check out our FREE Courses at ...

Discrete convolutions, from probability to image processing and FFTs. Video on the continuous case: ...

Adding random variables, with connections to the central limit theorem. Help fund future projects: ...

And then we will talk about some application of convolutional code we will first discuss some application since for deep space.

Lecture by Prof. Harsha B K & Shruthi M L J.

So today we are going to continue with some more problems related to convolutional code. So let us solve some more problems ...

Cyclic code notes https://drive.google.com/file/d/1Q0mEYjR-CeVGUJCeJr_H3nf-QIICkkZG/view?usp=drivesdk Do subscribe to ...

Enjoy what you see? Check out our textbook website at http://bioinformaticsalgorithms.org. This is Part 9 of 10 of a series of ...

... weight distribution of the convolutional code So we can define before we discuss the technique to find out the weight distribution ...

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Sebastian's books: https://sebastianraschka.com/books/ Slides: ...

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Welcome to the course on Error control coding an Introduction to Convolutional codes, I am Adrish Banerjee from IIT Kanpur.

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... the Trellis of a convolutional code Now it essentially finds out Viterbi algorithm essentially finds out an estimate of the codeword ...

So, these two are the ingredients that form the encoder for a convolutional code. The memory which is a shift register is capable of ...

The ReLU activation function is one of the most popular activation functions for Deep Learning and Convolutional Neural ...

... we are going to analyze the performance of Viterbi Decoding which is maximum likelihood decoding for convolutional code and ...

Coding Theory by Dr. Andrew Thangaraj, Department of Electronics & Communication Engineering, IIT Madras. For more details ...