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Common sense is sound, practical judgment concerning everyday matters, or a basic ability to perceive, understand, and judge in a manner that is shared by (i.e., "common to") nearly all people. The everyday understanding of common sense is ultimately derived from historical philosophical discussions. Relevant terms from other languages used in such discussions include Latin sensus communis, Greek αἴσθησις κοινὴ (), and French bon sens, but these are not straightforward translations in all contexts. Similarly in English, there are different shades of meaning, implying more or less education and wisdom: "good sense" is sometimes seen as equivalent to "common sense", and sometimes not. "Common sense" has at least two specific philosophical meanings. One is as a capability of the animal soul (ψῡχή, ) proposed by Aristotle to explain how the different senses join together and enable discrimination of particular objects by people and other animals. This common sense is distinct from the several sensory perceptions and from human rational thought, but it cooperates with both. A second philosophical use of the term is Roman-influenced and is used for the natural human sensitivity for other humans and the community. Just like the everyday meaning, both of these refer to a type of basic awareness and ability to judge that most people are expected to share naturally, even if they cannot explain why. All these meanings of "common sense", including the everyday ones, are interconnected in a complex history and have evolved during important political and philosophical debates in modern Western civilisation, notably concerning science, politics and economics. The interplay between the meanings has come to be particularly notable in English, as opposed to other western European languages, and the English term has become international. Since the Age of Enlightenment the term "common sense" has been used for rhetorical effect both approvingly, as a standard for good taste and source of scientific and logical axioms, and disapprovingly, as equivalent to vulgar prejudice and superstition.
[2]Paolo Prandoni, [3]LCAV, EPFL
The Karplus-Strong algorithm is a simple method to generate synthetic
sounds with arbitrary pitch. In this notebook we will explore a few
variations of the method to illustrate some basic notions of
discrete-time signal processing.
In [1]:
%matplotlib inline
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import IPython
In [2]:
plt.rcParams["figure.figsize"] [2]Paolo Prandoni, [3]LCAV, EPFL
The concept of "basis" for a vector space is one of the most profound
and fruitful ideas in linear algebra. Basis vectors are the "building
blocks" that all other vectors are built from; by "disassembling" a
vector into a linear combination of basis elements we are able to "look
inside" the vector and highlight many of its relevant features.
A vector space has an infinite number o [2]Paolo Prandoni, [3]LCAV, EPFL
In this notebook we will look at the practical issues associated to
plotting the DFT and in particular the DFT of real-world signals. We
will examine how to map the DFT coefficients to real-world frequencies
and we will investigate the frequency resolution of the DFT and the
effects of zero padding.
In [1]: