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Example :- 1
- The Wavelet Tree is a relatively new, but versatile data structure, offering solutions for many problem domains such as string processing, computational geometry, and data compression. Storing, in its basic form, a sequence of characters from an alphabet enables higher-order entropy compression and supports various fast queries.
- A wavelet tree is a succinct data structure that recursively partitions a stream into two parts until we’re left with homogeneous data.
- The name derives from an analogy with the wavelet transform for signals, which recursively decomposes a signal into low-frequency and high-frequency components. Wavelet trees can be used to answer range queries efficiently.
- The wavelet tree supports access, rank and select queries. An access(p) query on a wavelet tree constructed on string S is the query for what character c is at position p in the string S. The rank of a character c in a string S up to position p is written as rankp(c) and is defined as the number of occurrences of c in the sub-string S[0,…,p]. The position of the oth occurrence of a character c can be found with a select c(o) query.
SUCCINCT DATA STRUCTURE-
- In computer science, a succinct data structure is a data structure which uses an amount of space that is “close” to the information-theoretic lower bound, but (unlike other compressed representations) still allows for efficient query operations.
- Unlike general lossless data compression algorithms, succinct data structures retain the ability to use them in-place, without decompressing them first. A related notion is that of a compressed data structure, in which the size of the data structure depends upon the particular data being represented.
CREATION OF WAVELET TREE-
Example :- 1
- The constant increase in the volume of transmitted and stored data makes imperative the design of efficient algorithms and data structures for handling them.
- The field of data and text compression has been traditionally involved in providing tools that could effectively face the problems emerging in large scale information retrieval applications.
- Moreover in the time course of the previous decade, a challenging and interesting issue has flourished: Self-Indexing data structures.
WAVELET TREE – TERMS
- A Wavelet Tree organizes a string into a hierarchy of bit vectors.
- Rank[c](S,i) := the number of char c at or before position i in S.
- Select[c](S,j) := the position of the jth occurrence of c in S.
- S[i] = “access character i” .
APPLICATIONS: Inverted Indices-
APPLICATIONS: Document Retrieval-
- In this blog we have described the wavelet tree, a versatile data structure offering
solutions within problem domains such as data compression and information retrieval.
- We have discuss survey applications of wavelet trees including efficient data
compression and fast information retrieval with more detail on how the wavelet tree is
used for some of the applications.