Add topic "Huffman coding" Accepted
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Add Huffman Coding
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- Huffman Coding
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- The description is mainly taken from Professor Vijay Raghunathan. In this assignment, you will utilize your knowledge about priority queues, stacks, and trees to design a file compression program and file decompression program (similar to zip and unzip). You will base your utilities on the widely used algorithmic technique of Huffman coding, which is used in JPEG compression as well as in MP3 audio compression.
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- https://engineering.purdue.edu/ece264/17au/hw/HW13?alt=huffman
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Add Huffman Coding
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- Huffman Coding
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- 2008
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- This chapter describes the details of Huffman encoding and decoding and covers related topics such as the height of a Huffman code tree, canonical Huffman codes, and an adaptive Huffman algorithm. Following this, Section 2.4 illustrates an important application of the Huffman method to facsimile compression.
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- http://people.ucalgary.ca/~dfeder/449/Huffman.pdf
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Add Shannon’s Noisy Coding Theorem
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- Shannon’s Noisy Coding Theorem
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- 2015-05-14
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- Suppose that we have some information that we want to transmit over a noisy channel. Nowadays, this happens all the time: when you’re talking on a cell phone, and there is interference from radio waves from other devices; when you’re playing a CD (on a good CD player, CD’s are remarkably scratch-resistant); when you’re downloading stuff from the Internet. You’d like to make sure that the information gets through intact, even though the line is noisy. How can we do this? Here we will discuss a theoretical result on how much information can be transmitted over a noisy channel.
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- https://math.mit.edu/~goemans/18310S15/noisy-coding-notes.pdf
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Add Huffman coding
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- Huffman coding
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- In computer science and information theory, a Huffman code is a particular type of optimal prefix code that is commonly used for lossless data compression. The process of finding or using such a code proceeds by means of Huffman coding, an algorithm developed by David A. Huffman while he was a Sc.D. student at MIT, and published in the 1952 paper "A Method for the Construction of Minimum-Redundancy Codes". The output from Huffman's algorithm can be viewed as a variable-length code table for encoding a source symbol (such as a character in a file). The algorithm derives this table from the estimated probability or frequency of occurrence (weight) for each possible value of the source symbol. As in other entropy encoding methods, more common symbols are generally represented using fewer bits than less common symbols.
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- https://en.wikipedia.org/?curid=13883
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Add Noisy-channel coding theorem
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- Noisy-channel coding theorem
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- In information theory, the noisy-channel coding theorem (sometimes Shannon's theorem or Shannon's limit), establishes that for any given degree of noise contamination of a communication channel, it is possible to communicate discrete data (digital information) nearly error-free up to a computable maximum rate through the channel. This result was presented by Claude Shannon in 1948 and was based in part on earlier work and ideas of Harry Nyquist and Ralph Hartley. This founded the modern discipline of information theory.
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- https://en.wikipedia.org/?curid=3474289
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Add Huffman coding treated in Huffman Coding
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Add Huffman coding treated in Huffman Coding
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Add Noisy-channel coding theorem treated in Shannon’s Noisy Coding Theorem
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Add Data compression parent of Huffman coding
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Add Data compression parent of Noisy-channel coding theorem
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