T. P. Traitement du Signal MaÃ®trise E.E.A. - LASC

More documents

Recommendations

Info

6 SPTool: A <strong>Signal</strong> Processing GUI Suite Positioning Poles and Zeros You can use your mouse to move poles and zeros around the pole/zero plot and modify your filter design. Icon Description Enable moving poles or zeros by dragging on the plot Add pole Add zero Erase poles or zeros You can move both members of a conjugate pair simultaneously by manipulating just one of the poles or zeros. To ungroup conjugates, select the desired pair and clear Conjugate pair in the Specifications region on the Filter Designer. When you place two or more poles (or two or more zeros) directly on top of each other, a number is displayed next to the symbols (on the left for poles, and on the right for zeros) indicating the number of poles or zeros at that location (e.g., for three zeros). This number makes it easy to keep track of all the poles and zeros in the plot area, even when several are superimposed on each other 6-48
Designing a Filter with the Pole/Zero Editor and are not visually differentiable. Note, however, that this number does not indicate the multiplicity of the poles or zeros to which it is attached. To detect whether or not a set of poles or zeros are truly multiples, use the zoom tools to magnify the region around the poles or zeros in question. Because numerical limitations usually prevent any set of poles or zeros from sharing exactly the same value, at a high enough zoom level even truly multiple poles or zeros appear distinct from each other. A common way to assess whether a particular group of poles or zeros contains multiples is by comparing the mutual proximity of the group members against a selected threshold value. As an example, the resi<strong>du</strong>ez function defines a pole or zero as being a multiple of another pole or zero if the absolute distance separating them is less than 0.1% of the larger pole or zero’s magnitude. 6-49
Page 1:
T. P. Traitement du Signal Maîtris
Page 4 and 5:
a=[1 2; 3 4] et le résultat suivan
Page 6 and 7:
y=exp(i*2*pi*t) que l’on rencontr
Page 8 and 9:
t=0:T/N:T-T/N; y=t.^2+5; plot(t,y);
Page 10 and 11:
t f ∫ t0 f ( t) dt t ⎡ N −1 e
Page 13 and 14:
TP 2 : ANALYSE ET SYNTHÈSE DE SIGN
Page 15 and 16:
Relations entre la série de Fourie
Page 17 and 18:
) Rampe Montrer que: c) Signal modu
Page 19:
- Pour le signal c), vérifiez que
Page 22 and 23:
Cette figure montre bien qu’il es
Page 24 and 25:
N correspond aux nombres d’échan
Page 26 and 27:
2) Travail demandé 2-1) Analyse d
Page 29 and 30:
TP 4 : UTILISATION DE LA TFD POUR L
Page 31 and 32:
N −1 ∑ x( p)* y( p) = x( m) y(
Page 33:
c) Autocorrélation d'un sinus brui
Page 36 and 37:
Le schéma de principe qui peut s'a
Page 38:
R p =3dB Rs=30dB f P1 =95kHz f P2 =
Page 45 and 46:
H ( f ) Etant donné que est pério
Page 47: - Calculer les valeurs de la répon
Page 50 and 51: Exercice1 : comparaison des résult
Page 52 and 53: 6 SPTool: A Signal Processing GUI S
Page 104: 6 SPTool: A Signal Processing GUI S
show all

T. P. Traitement du Signal MaÃ®trise E.E.A. - LASC

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?