The data-compression tag has no usage guidance.
4
votes
1answer
79 views
Most space-efficient lossy dictionary?
Short version: What is the most space-efficient lossy dictionary (with given false positive and false negative rates)?
Long version: A lossy dictionary is a data structure $D$ that encodes a set $S$ ...
0
votes
0answers
12 views
Is reinforcement learning the right tool for inferring graph structure from sequence?
Sorry that this is a complicated question - I will try to get to the essence of it.
I am interested in learning the structure of sequences of numbers in terms of a graph encoding specific types of ...
1
vote
1answer
34 views
Algorithm for estimating lossless compression factor
Is there any algorithm for estimating how well certain array of bytes could be compressed in lossless manner?
Usage for me is to automatically choose "best" data reorder method without knowing what ...
2
votes
2answers
62 views
Does this progressive image compression exists?
I want to know if this progressive image compression that I have in mind exists and it it does I want know its name and/or get some references about it.
The algorithm consists of converting one high ...
-3
votes
1answer
20 views
Character in Huffman encoding [closed]
Is a full stop regarded as a character along or must it be with a space in huffman encoding. I know of taking a comma with a space to a character.
1
vote
1answer
16 views
Compression with random dictionary
Is the following scenario theoretically possible, or provably impossible?
Alice generates a 1 GiB file with random bits and sends it to Bob. This file is a shared dictionary they call Q. Now, Alice ...
1
vote
0answers
18 views
Attribute Selection for minimum number of clusters
I have a table consisting of some headers $P, Q, R, S$ (shown in blue in Table 1). According to the headers, the column $T$ is populated using some predefined logic.
Now, any of the headers $P,Q,R,S$ ...
0
votes
2answers
33 views
Data compression with Turing Machine
For traditional algorithms compressed data may vary, while decompression algorithm is always the same. Are there any approaches, when (de)compression algorithm is also changing to provide best ...
0
votes
0answers
25 views
How much data can be send in 1 minute of audio with Smartphone speakers / microphones?
Having the current news about Google Assistant in mind, I thought that robots might use interfaces designed for humans to send data. Like a telephone interface.
Then I wondered: What is the maximum ...
0
votes
0answers
35 views
What algorithm is most suitable for large text compression?
Currently, I am looking for an lossless compression algorithm that is suitable for a large amount of text, that will be further encrypt by AES and use as the payload in steganography.
Based on A ...
1
vote
2answers
30 views
How would the use of an external lookup table affect file compression?
It occurred to me that, the way compression essentially works, is that you have a mapping of long patterns to short patterns, which you replace one way to compress and the other to decompress. My ...
1
vote
1answer
45 views
Was my Huffman coding solution wrong?
I finished my exam a moment ago and one of the question was to calculate Huffman coding for given probabilities:
A: 0.15
B: 0.2
C: 0.55
D: 0.1
I encoded them as ...
0
votes
0answers
8 views
Quantile Summary Example
I am reading a note on quantile summary.
I am not sure if I have already understood the definition of quantile summary. I am looking for concrete examples for the definition.
Another question is ...
1
vote
1answer
41 views
Generate numeric or string ID for a sequence of elements
How to generate a numeric or string id(not very large text) for a sequence of elements where ordering doesn't matter.
Example:
[41,1001,32] should generate the ...
2
votes
1answer
30 views
Methods, Routines, or Algorithms To Optimize Selection of String Compression Methods
When encoding a a 2D Datamatrix barcode, I want the smallest output size. There are means to encode a compressed a string using some methods like C40.
Reference:
Here's a reference: https://en....
1
vote
3answers
96 views
Is there a method to compress all data without loss (lossless compression)?
I know that the answer is no but I'm not sure why. Here's where I started. We know that all data with length $n$ Bits and minimum $1$ Bit can be compressed, either lossless or lossy. But how do I ...
1
vote
1answer
38 views
Problem with determining the shape and direction of the Huffman Diagram
I have the phrase "abracadabra" and I want to encode it through the Huffman method. I first took the frequencies of each letters;
$$a=5$$
$$b=3$$
$$c=1$$
$$d=2$$
$$r=2$$
But I'm not sure as to how the ...
0
votes
1answer
26 views
Intuitive way to understand “Run-Length Encoding”
Run-Length Encoding is the simple form of lossless data compression in which compression in which runs (execution) of data are stored as a single data value and count rather than as the original run (...
24
votes
11answers
8k views
Is von Neumann's randomness in sin quote no longer applicable?
Some chap said the following:
Anyone who attempts to generate random numbers by deterministic means is, of course, living in a state of sin.
That's always taken to mean that you can't generate ...
0
votes
0answers
63 views
Is it possible for a [futuristic] computer to contain the information of the whole universe?
(This is a question of information theory, data compression and entropy, so I believe it fits CS forum)
Does the fact that the computer itself is a part of the universe make it logically impossible ...
1
vote
1answer
46 views
monotonically increasing codeword length in optimal (maybe Huffman) code for alphabet with monotonically decreasing frequencies
I'm working on exercise 16.3-5 of CLRS:
Prove that if we order the characters in an alphabet so that their frequencies are monotonically decreasing, then there exists an optimal code whose codeword ...
1
vote
0answers
22 views
Using less Random Access Memory
Suppose you were to compress data before it was sent to Random Access Memory. Wouldn't you technically be using less R.A.M?
3
votes
2answers
303 views
Representation of used space and free space in hard drives
I've read from this How data is physically stored in hard drives, that the North/South orientation of the magnetic medium represents data as 0 or 1 physically in the hard drive. Data is stored in ...
0
votes
0answers
25 views
Using image recognition to improve physics experiments
I'm wondering if problems such as boson sampling photons from phase shifting them, or scattering/absorption problems in Dr. Englund's quantum gate could be improved by assuming that there was no ...
0
votes
0answers
40 views
Knuth Dynamic Huffman Coding: Downdate a weight
I am studying the adaptive huffman encoding,more specific, the sliding window. In Knuth's paper he describes the downdate function. I do not understand how the downdate works. The update i do ...
1
vote
1answer
15 views
What is the Code2 and other concepts of variable encoding in Coding Redundancy?
Am learning the concept of Coding Redundancy in image compression and am finding it hard to understand the table on page 3 of this document. All other explanations seem to follow the same symbols and ...
3
votes
1answer
107 views
Is there a limit to data compression without mentioning Kolmogorov complexity?
I want to develop a previous answer to Is there a known maximum for how much a string of 0's and 1's can be compressed?.
I've looked at the Hutter Prize and various compression benchmarks. The ...
-1
votes
1answer
72 views
Universal Lossless Compression? [closed]
It is not possible to losslessly compress all files of size $n$ using a single algorithm, as there are more files of size $n (2^n)$ than of size $p, p: p < n ( 2^n-1)$. Via the pigeon hole ...
1
vote
1answer
76 views
Practicality of compressing data with hashing algorithms
I want to compress the string 0cc175b9c0f1b6a831c399e269772661. I can do so by storing the string a, and, when decompressing, using a as input for the MD5 hash algorithm to get the original string.
I ...
1
vote
0answers
71 views
Compression of gaussian variables
Say I have 2 Gaussian sources X and Y. They are generated with mutivariate gaussian distribution with ...
0
votes
0answers
53 views
Optimal self-synchronizing codes
Is there a known optimal algorithm for generating a binary self-syncrhonizing code for a distribution over $N$ symbols - similarly to the generation of Huffman codes (which are the optimal prefix ...
1
vote
0answers
60 views
Which algorithms provide high compression ratios for bit matrices?
I have an x*y bit matrix where the total number of bits fluctuates between ~1,000,000 and ~20,000,000 bits. The rows are much smaller than the columns. An example matrix might be of size 1,000,000 x ...
1
vote
1answer
108 views
How can I compress data that represents a number's change over time?
I have a value that increases by unknown increments at unknown times. Given a time, I need to check how much it has increased between that time and now.
I could simply store every time/increase pair ...
5
votes
1answer
410 views
Optional prefix code for the naturals
The naturals $\mathbb{N}$ can be encoded with a binary unary code such as
$$
\begin{align}
1&=0_b\\
2&=10_b\\
3&=110_b\\
&...
\end{align}
$$
The length this the ...
0
votes
0answers
32 views
[Choosing tunable parameter M in Golomb/Rice Encoding]
I am a Computer Science student and I study Data Compression now. I read many methods but Golomb-Rice Encoding was not clear for me. I understand the method how it works but in the algorithm there is ...
1
vote
1answer
41 views
How to predict the next image in a sequence, or predict the deblurring of an image?
I have 3 versions of an image at lower resolutions - 480p, 720p, and 1080p. Is it possible to use those 3 images to predict the next highest resolution image (the 4k image)?
My first guess was that ...
0
votes
1answer
48 views
Can I say is lossy compression to discard data having a way to recover it?
I'm working on a compression algorithm for a specific kind of data. I have found a way to discard (important) parts of the data during compression as I have also found a way to recover the missing ...
1
vote
0answers
29 views
Compressing dataset by cartesian products cover
I have the following problem and I wonder if there exist a solution (or some algorithm to approximate it, even if it's far from optimal, as long as it is tractable) to it.
Say I have a set $V\...
0
votes
0answers
197 views
How does youtube do video quality change/video compression?
After uploading a high definition video in youtube, youtube automatically makes a low definition(standard definition) version of the video.
I would like to know what algorithm they use to reduce the ...
1
vote
0answers
32 views
which paper to take that would best fit to becoming a data scientist? [closed]
My name is Webber from Auckland, New Zealand. I am currently in my second year studying the bachelor of computer and information science. I have chosen to do a double major in computational ...
2
votes
1answer
87 views
Compression for set of integers preserving their sequence
For a given positive number n. Numbers from 0 up to n, are streamed one by one in some order ...
0
votes
1answer
77 views
Choosing a shortest representative number from interval in arithmetic coding
In arithmetic coding a word is coded as the binary encoding of a number in a certain interval. The interval is determined from a sequence of nested intervals according to the probability distribution ...
1
vote
1answer
185 views
How the LZ77 compression algorithm handles the case when the entire look-ahead buffer is matched in the search buffer
The LZ77 compression algorithm uses a sliding window technique, where the window consists of a look-ahead puffer and a search-buffer. What I am wondering is how the algorithm handles the case if the ...
4
votes
5answers
185 views
How can I explain lossless compression to a misguided audio engineer?
I have recently been involved in a discussion with someone who doesn't accept that lossless compression is possible, even in principle. This person considers himself to be technically literate, and an ...
0
votes
0answers
48 views
How well does DEFLATE perform, compared to the theoretical optimum?
I know that there is an inherent limit to how much you can compress data using lossless compression.
Basically, the only thing lossless compression can do is reduce dependencies between symbols, ...
27
votes
6answers
6k views
Efficient compression of simple binary data
I have a file containing ordered binary numbers from $0$ to $2^n - 1$:
0000000000
0000000001
0000000010
0000000011
0000000100
...
1111111111
7z did not compress ...
1
vote
1answer
57 views
Finding short readable representation of words
I am looking for Input/Literature on
a readable way to represent words (which are accepted by automata)
an Algorithm, that constructs the Representation
For example, a word $w$ might contain a ...
5
votes
0answers
105 views
What is the intuition behind the Geometric Burrows-Wheeler Transform?
What is the intuition behind the Geometric Burrows-Wheeler Transform? And how can I use a GBWT with blocking factor $d$ to match a given pattern $P$ of length $|P| = m$ with
$m \ge d$
$m < d$
...
0
votes
0answers
49 views
Pattern recognition and compressing a data
I am given a matrices each with 4 columns such that each element's value is between 1 to 4. Their is recurring pattern between first two digits while other two are random digits of a row. I need to ...
5
votes
0answers
121 views
Evaluating sums of subsets
Let $X=\{x_1,...,x_N\}$ be a set of real numbers. We consider $M$ sums over its subsets, e.g. $N=9$, $M=3$
$$
\begin{align*}
s_1&=x_1+x_2+x_3+x_9,\\
s_2&=x_1+x_2+x_4+x_9,\\
s_3&=x_1+x_2+...
