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Band pass and band limited signals; LTI properties

Short answer

Band-limited signal has spectrum zero beyond W Hz (e.g., telephone speech 3.4 kHz). Band-pass signal has spectrum concentrated around carrier fc >> W (e.g., AM at 1 MHz). LTI system properties: linearity, time-invariance, described by impulse response convolution, frequency response Y(f)=H(f)X(f), commutative/associative/distributive convolution, causality if h(t)=0 for t<0, BIBO stability if ∫|h(t)|dt<∞.

Define Band pass signal and Band Limited signal with example. Write the properties of LTI system.

Band-limited signal

A signal g(t)g(t) is band-limited to WW Hz if its spectrum is zero beyond WW:

G(f)=0for ∣f∣>WG(f)=0\quad\text{for}\ \lvert f\rvert>W

Its energy lies between 00 and WW (it is a low-pass or baseband signal). Examples: telephone speech limited to 3.4 kHz; g(t)=sinc(2Wt)g(t)=\text{sinc}(2Wt), whose spectrum is a rectangle from −W-W to WW; audio after a 20 kHz anti-aliasing filter. Such signals can be sampled without loss at fs≥2Wf_s\ge 2W.

Band-pass signal

A band-pass signal has its spectrum concentrated in a band of width 2W2W around a carrier frequency fcf_c, with fc≫Wf_c\gg W, and is zero near f=0f=0:

G(f)≠0  only for fc−W≤∣f∣≤fc+WG(f)\ne0\ \ \text{only for}\ f_c-W\le\lvert f\rvert\le f_c+W

It can be written as g(t)=gI(t)cos⁡2πfct−gQ(t)sin⁡2πfctg(t)=g_I(t)\cos2\pi f_ct-g_Q(t)\sin2\pi f_ct. Examples: an AM broadcast signal at 1 MHz with 10 kHz bandwidth; an FM station at 100 MHz; m(t)cos⁡2πfctm(t)\cos2\pi f_ct (DSB-SC).

 Band-limited (low-pass)        Band-pass
      |G(f)|                       |G(f)|
   +--+--+                  +--+         +--+
   |  |  |                  |  |         |  |
 --+--+--+---> f      ------+--+----+----+--+---> f
  -W  0  W                  -fc     0     fc

Properties of an LTI system

  1. Linearity (superposition): ax1+bx2→ay1+by2a x_1+b x_2\to a y_1+b y_2; includes homogeneity and additivity.
  2. Time invariance: x(t−t0)→y(t−t0)x(t-t_0)\to y(t-t_0).
  3. Complete description by impulse response: y(t)=x(t)∗h(t)y(t)=x(t)*h(t).
  4. Frequency response: Y(f)=H(f)X(f)Y(f)=H(f)X(f); a sinusoid in gives a sinusoid of the same frequency out, with changed amplitude and phase. No new frequencies are created.
  5. Commutative, associative and distributive with respect to convolution: cascaded LTI systems give h1∗h2h_1*h_2; parallel systems give h1+h2h_1+h_2.
  6. Causality: causal if h(t)=0h(t)=0 for t<0t<0.
  7. Stability (BIBO): stable if ∫−∞∞∣h(t)∣dt<∞\int_{-\infty}^{\infty}\lvert h(t)\rvert dt<\infty.
  8. Power spectra: for random inputs Sy(f)=∣H(f)∣2Sx(f)S_y(f)=\lvert H(f)\rvert^2S_x(f).

✓ Answer checked by Claude Opus 5.5 (high effort)

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