Preliminaries and Notation Saravanan Vijayakumaran - - PowerPoint PPT Presentation

preliminaries and notation
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Preliminaries and Notation Saravanan Vijayakumaran - - PowerPoint PPT Presentation

Preliminaries and Notation Saravanan Vijayakumaran sarva@ee.iitb.ac.in Department of Electrical Engineering Indian Institute of Technology Bombay 1 / 8 Complex Numbers A complex number z can be written as z = x + jy where x , y R


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SLIDE 1

Preliminaries and Notation

Saravanan Vijayakumaran sarva@ee.iitb.ac.in

Department of Electrical Engineering Indian Institute of Technology Bombay

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SLIDE 2

Complex Numbers

  • A complex number z can be written as z = x + jy where

x, y ∈ R and j = √ −1

  • We say x = Re(z) is the real part of z and
  • y = Im(z) is the imaginary part of z
  • In polar form, z = re jθ where

r = |z| =

  • x2 + y2,

θ = arg(z) = tan−1 y x

  • .
  • Euler’s identity

e jθ = cos θ + j sin θ

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SLIDE 3

Inner Product

  • Inner product of two m × 1 complex vectors

s = (s[1], . . . , s[m])T and r = (r[1], . . . , r[m])T s, r =

m

  • i=1

s[i]r ∗[i] = rHs.

  • Inner product of two complex-valued signals s(t) and r(t)

s, r = ∞

−∞

s(t)r ∗(t) dt

  • Linearity properties

a1s1 + a2s2, r = a1 s1, r + a2 s2, r , s, a1r1 + a2r2 = a∗

1 s, r1 + a∗ 2 s, r2 .

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Energy and Cauchy-Schwarz Inequality

  • Energy Es of a signal s is defined as

Es = s2 = s, s = ∞

−∞

|s(t)|2 dt where s denotes the norm of s

  • If energy of s is zero, then s must be zero “almost

everywhere”

  • For our purposes, s = 0 =

⇒ s(t) = 0 for all t

  • Cauchy-Schwarz Inequality

|s, r| ≤ sr with equality ⇐ ⇒ for some complex constant a, s(t) = ar(t)

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Convolution

  • The convolution of two signals r and s is

q(t) = (s ∗ r) (t) = ∞

−∞

s(u)r(t − u) du

  • The notation s(t) ∗ r(t) is also used to denote (s ∗ r) (t)

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Delta Function

  • δ(t) is defined by the sifting property. For any finite energy

signal s(t) ∞

−∞

s(t)δ(t − t0) dt = s(t0)

  • Convolution of a signal with a shifted delta function gives a

shifted version of the signal δ(t − t0) ∗ s(t) = s(t − t0)

  • Sifting property also implies following properties
  • Unit area

−∞

δ(t) dt = 1

  • Fourier transform

F (δ(t)) = ∞

−∞

δ(t)e−j2πft dt = 1

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Indicator Function and Sinc Function

  • The indicator function of a set A is defined as

IA(x) =

  • 1,

for x ∈ A, 0,

  • therwise.
  • Sinc function

sinc(x) = sin(πx) πx , where the value at x = 0 is defined as 1

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SLIDE 8

References

  • pp 8 —13, Section 2.1, Fundamentals of Digital

Communication, Upamanyu Madhow, 2008

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