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Transcript
Complex Numbers
2+4j
Rectangular Notation
• Complex numbers are written a + bi
– a and b are real numbers
– i (or j) satisfies the equation:
• Characteristics of Complex Numbers
– Extend the number system to two dimensions
– i2 = j2 = -1
Note: Mathematicians use the symbol i; DSP normally uses j
Polar Notation
Distance and angle from the origin
• Rectangular Form 4+i3
• Convert to Polar Form (5,36.87)
– M = sqrt(42+32) = 5
– Ө = arctan(3/4)
• Convert to Rectangular
– A+ib = M(cos Ө + i * sinӨ)
Be Careful: At 90 and 270 degrees we have a divide by zero
Multiplications of complex numbers are rotations
Understanding Digital Signal Processing, Third Edition, Richard Lyons
(0-13-261480-4) © Pearson Education, 2011.
Operations on Complex Numbers
Definition: Conjugate of a + bj is a - bj
•
•
•
•
Addition: (a + bj) + (c+dj) = (a+c) + (b+d)j
Subtraction: (a+bj) – (c+dj) = (a-c) + (b-d)j
Multiplication: (a+bj) * (c+dj) = (ac-bd) + (bc+ad)j
Division: Change the problem to a multiplication
– Trick: Multiply the numerator and denominator by the
conjugate of the denominator
– Result: Complex parts of denominator cancel, which
effectively changes the division to a multiplication
(a+bj) / (c+dj) =
(a+bj) * (c-dj) / {(c+dj)*(c-di) } =
((ac+bd) + (bc-ad)i)/(c2 + d2)
Understanding Digital Signal Processing, Third Edition, Richard Lyons
(0-13-261480-4) © Pearson Education, 2011.
N Roots of Unity
for (double angle=0;
angle<Math.PI * 2;
angle += 2*Math.PI/N)
{
System.out.println
(cos(angle) + "j" +
sin(angle);
}
N = 12
Radius = 1
Multiplying rotates a unit circle point by the angle of the other
For N roots, other than unity, simply multiply by the magnitude
The properties of exponentials enable
•
Fast multiplies/divides:
M1 eӨ1j * M2 eӨ2j = M1 * M2 ej(Ө1 + Ө2) and M1 eӨ1j / M2 eӨ2j = M1 / M2 ej(Ө1 - Ө2)
• Reduced calculations: e128/256 = e64/128 = e32/64 = e16/32 = e8/16 = e4/8 = e2/4 = e1/2
• Consise polar notation (represents magnitude and phase): Mejϕ
• Elegant FFT algorithm: transfer from time to frequency domain
ejӨ = M(CosӨ + j SinӨ)
Euler’s Formula
Trigonometric Identities
cos(x)=cos(-x) and sin(x)=-sin(-x)
cos(x) = (eix + e-ix)/2
sin(x) = (eix – e-ix)/2i
sin2(x)+ cos2(x) = 1
sin(x+y) = sin(x)cos(y) + cos(x)sin(y)
cos(x+y) = cos(x)cos(y) - sin(x)sin(y)
Quick Review of Calculus
• Function: Given a set of input parameters, a method
performs some calculation and returns a well defined result
• Integral: Area under a function’s curve between a range of
points, which could possibly be infinite
• Derivative: The slope of a function at a particular point
• Transform: A calculation that transfers a problem from
one domain (coordinate space) to another, while
maintaining the problem’s characteristics
Note: derivatives and integrals are functions themselves. Given one
function, we can in a well-defined way, compute the results
Example
Example
• The derivative of x2 = 2x (Notation: f’(x2) = 2x)
lim ∆x->0 ( (x+∆x)2 – x2 )/ ∆x
= lim ∆x->0 (x2 + 2x∆x + ∆x2 – x2)/∆x = lim ∆x->0 (2x + ∆x) = 2x
• Fortunately, tables of derivative functions proved by
mathematicians exist. We can simply look up the derivatives
to the functions we are working with.
• Some common derivatives that are useful to memorize:
– f’(xn) = nxn-1
– f’(Sin kx) = kCos x, f’(Cos kx) = -kSin x
– f’(ex) = ex, f’(eax) = a eax
Tables: Common Integrals/Derivatives
Taylor’s Theorem
• Taylor’s Theorem
– f(x) is nicely behaved (continuous without sharp points)
– We can evaluate the function and its derivatives at point (a)
– THEN
f(x) = f(a)+f'(a)*(x-a)/1!+f''(a)*(x-a)2/2!+f'''(a)(x-a)3/3! + ···
• Taylor applied to sin(x), cos (x), and ex
ex = 1 + x/1! + x2/2! + x3/3! + ...
sin(x) = x - x3/3! + x5/5! - x7/7! + ...
cos(x) = 1 - x2/2! + x4/4! - x6/6! + ...
The amazing number e = 2.718281828459005…
• Relates to Compound Interest: e = limn->∞{(1 + 1/n)n}
When n = 1 e ≈ 2
When n = 2 e ≈ (1 + ½)2 = 9/4 = 2.25
When n = 3 e ≈ (1 + 1/3)3 = 64/27 = 2.37037
When n is extremely large, it approaches the value: e = 2.718281828 …
• Relates to the Taylor series: ex = 1 + x + x2/2! + x3/3! + x4/4! + …
If x = 1, e = 1 + 1 + ½ + 1/6 + 1/24 + … + 1/n! + …
When n = 3, e ≈ 1 + 1 + 1/2 + 1/6 = 2.66667
When n is extremely large, it approaches the value: e = 2.718281828 …
• Other amazing characteristics
– Euler’s formula: ejx = cos(x) + jsin(x) relates e to the ratio between lengths
of sides of a right triangle, and also to the roots of unity
– The function ex is special because it’s the function describing its integral
and derivative is itself
Understanding Digital Signal Processing, Third Edition, Richard Lyons
(0-13-261480-4) © Pearson Education, 2011.
Phase change over time with complex numbers
Understanding Digital Signal Processing, Third Edition, Richard Lyons
(0-13-261480-4) © Pearson Education, 2011.