Mathematical tool in which tables are formed and normalization

AI Thread Summary
Normalization scales the values in a table to a range between 0 and 1 by dividing each value by the maximum value in the table. This process can enhance performance in algorithms that require comparisons between different functions, such as sound signals. However, normalization may lead to a loss of precision, which can be detrimental in certain applications. The effectiveness of normalization largely depends on the specific context and requirements of the algorithm being used. Understanding the trade-offs is crucial for determining whether normalization is beneficial for a given scenario.
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What does NORMALIZATION do?I am using a mathematical tool in which tables are formed and normalization of these tables are done using formula u know:
g(x)=g(x)/Max[g(x)];
i.e all values of the table are divided by the Maximum number from the table.
thus table got maximum value =1.
my question is that "what is its effect and does it provide better performance if used in algorithm."
thanks.
 
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What is this mysterious algorithm?

Because the effects really depend on the application. If you need to compare g(x) with another function h(x), a normalization may be necessary (in the case of two sound signals). But you loose precision by doing this, so in some application, it's really not desired.
 

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