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A specialized dictionary is a dictionary that covers a relatively restricted set of phenomena. The definitive book on the subject (Cowie 2009) includes chapters on some of the dictionaries included below: synonyms pronunciations names (place names and personal names) phrases and idioms dialect terms slang quotations etymologies rhymes lyrics Dictionaries of idioms and slang are common in most cultures. Examples include (of French) the Dictionnaire des expressions et locutions, edited by Alain Rey (Paris: Le Robert 2006), and (of English) Eric Partridge's Dictionary of Slang and Unconventional English (8th edition, London: Routledge 2002). In the area of language learning, there are specialized dictionaries for aspects of language which tend to be ordinary for mother-tongue speakers but may cause difficulty for learners. These include dictionaries of phrasal verbs, such as the Oxford Phrasal Verbs Dictionary (2nd edition, Oxford University Press: 2006), and dictionaries of collocation, such as Macmillan Collocations Dictionary (Oxford: Macmillan 2010). One of the most common types of specialized dictionary is what is often referred to in English as a technical dictionary and in German as a Fachwörterbuch. These dictionaries cover the terminology of a particular subject field or discipline. As described in Nielsen (1994), dictionaries of this type can be classified in various ways. A dictionary that covers more than one subject field is called a multi-field dictionary; one that covers one subject field is called a single-field dictionary; and one that covers a limited part of a subject field is called a sub-field dictionary. A technical dictionary that attempts to cover as much of the relevant terminology as possible is called a maximizing dictionary, whereas one that attempts to cover only a limited part of the relevant terminology is called a minimizing dictionary. Specialized dictionaries can have various functions, i.e. they can help users in different types of situation.
[2]Paolo Prandoni, [3]LCAV, EPFL
The Parks-McClellan (PM) algorithm is a clever application of advanced
polynomial fitting techniques to the problem of FIR filter design. In
this notebook we will explore the key ideas behind the method by
considering the design of a simple Type-I lowpass filter.
NOTE: This notebook uses interactive widgets. If the interactive
controls do not work or show up, please fo