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15 posts (2 pages)

Frequency aliasing (or folding)

In the following Python script it is shown how the aliasing effect (having signals whose frequency is beyond half of the sampling frequency, i.e., …

DFT as a change of basis

DFT can be thought as a simple change of basis. In the time domain, every sample of a signal represents its amplitude at that very instant.

\[ y\left …

Basis in a vector space

A vector space basis is the skeleton from which a vector space is built. It allows to decompose any signal into a linear combination of simple …

Inner product in vector space

The inner product is an operation that measures the similarity between vectors.  In a general way, the inner product could be defined as an operation …

Properties of vector spaces

Vector spaces must meet the following rules: Addition to be commutative:

\( x + y = y + x \)

Addition to be distributive:

\( (x+y)+z = x + (y + z) \) …

Linear operator

A linear operator must meet the following conditions: \[ S\{\alpha x

\[n\]

\} = \alpha S\{x

\[n\]

\} \] \[ S\{x

\[n\]

+ y

\[n\]

\} = S\{x

\[n\]

\} + …

Energy and power of a signal

\[ E_x = \sum_{n=-\infty}^{+\infty} \left| x\left

\[ n \\right\]

\right|^2 \] \[ P_x = \lim_{N\to\infty} \frac{1}{2N + 1} \sum_{n = -N}^{N} \left| x …

Onda estacionaria

Onda estacionaria creada por dos ondas viajeras.

Resolución FFT

\[ \Delta f = \frac{F_s}{N_{samples}} \]

Si por ejemplo, \(F_s = 5GSa/s = 5\cdot10^9Sa/s \) y \(N_{samples} = 25000\), la resolución frecuencial es …