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Digital signal processing (DSP) refers to anything that can be done to a% W& b" C) i$ b1 ^6 O
signal using code on a computer or DSP chip. To reduce certain
; |/ p, ]( o! ^( }( `sinusoidal frequency components in a signal in amplitude, digital filtering" d! m8 \# N0 D$ {
is done. One may want to obtain the integral of a signal. If the signal
9 }. x- Y% P/ icomes from a tachometer, the integral gives the position. If the signal is2 ^- u' |% c8 }+ R$ f' |
noisy, then filtering the signal to reduce the amplitudes of the noise
+ a6 L- [* t+ X# \ V) {. Gfrequencies improves signal quality. For example, noise may occur from; `$ E& R5 N& o6 l1 q- K1 {0 D! s
wind or rain at an outdoor music presentation. F iltering out sinusoidal
/ B5 X9 A5 c4 S% b) `+ Pcomponents of the signal that occur at frequencies that cannot be; @, b2 P3 {* V1 Y5 u) o
produced by the music itself results in recording the music with little wind: f6 \* J; s j% l
and rain noise. Sometimes the signal is corrupted not by noise, but by2 D c% I6 b! `! P6 r! r) Q2 T
other signal frequencies that are of no present interest. If the signal is an- F: T2 S' d) L0 ^) i4 ?, J/ O
electronic measurement of a brain wave obtained by using probes applied
2 p# U4 S1 R9 lexternally to the head, other electronic signals are picked up by the7 _ k- I/ }/ X
probes, but the physician may be interested only in signals occurring at a+ g8 Z# u( _. K1 Y! R
particular frequency. By using digital filtering, the signals of interest only
8 `6 D, W9 Z5 H2 h9 Rcan be presented to the physician. |
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