Huffman codes
1.In telecommunication, how do we represent a set of messages, each with an access frequency, by a sequence of 0 s and 1 s?
2.To minimize the transmission and decoding costs, we may use short strings to represent more frequently used messages.
3.This problem can be solved by using an extended binary tree which is used in the 2-way merging problem.
the sourse code is
to encode and decode the Huffman.
People have vast background knowledge to cope with everyday situations.
we don t have to be told everything explicitly because we can call on the background knowledge.
we use `default knowledge to handle situations where knowledge is incomplete.
This is called common sense reasoning.
Abstract—In this paper, we propose transform-domain algorithms to
effectively classify the characteristics of blocks and estimate the strength
of the blocky effect. The transform-domain algorithms require much
lower computational complexity and much less memory than the spatial
ones. Along with the estimated blocky strength,
This file is a function under matlab which allow to compute and plot Amplitude modulation : AM. we can observe the effect of the information parameter can be changed such as amplitude and modulation ratio m.
To help you in writing an LL grammar, we have developed a tool to analyze a grammar and determine if it is LL(1).
A jar file containing the class files can be downloaded here. Place this jar file in your class path before running the analyzer. LLAnalyze requires JDK 1.2. In the CSUGLAB, use g:\jdk1.2.2\bin\java (NT) or /usr/local/jdk1.2.1 (Solaris).
You can also look at the source code for LLAnalyze. JLex is required to build it.
