8.05 Time-Domain Convolution & Multiplication Properties | 8.07 CTFT System Analysis of Continuous Networks
8.06 Frequency Spectra, Phase Spectra & Modulation
Core Idea
For real-world engineering signals, continuous Fourier transforms () are typically complex-valued, meaning they carry both magnitude and phase information. The Amplitude (Magnitude) Spectrum and the Phase Spectrum provide a complete, visually intuitive frequency-domain portrait of the signal’s harmonics. This note covers the plotting conventions for both single-sided (physical) and double-sided (mathematical) spectra, and details the Modulation Theorem—the physical basis for translating low-frequency message signals onto high-frequency carriers for long-distance propagation.
1. Polar Representation of Fourier Spectra
Because the continuous-time Fourier transform is a complex function of the angular frequency , it is conventionally analyzed and plotted in polar form:
where:
- represents the Continuous Amplitude (Magnitude) Spectrum {representing the signal strength per unit frequency bandwidth}.
- (or ) represents the Continuous Phase Spectrum {representing the harmonically related time-alignment offsets of the phasor components}.
1.1 Symmetries of Spectra for Real-Valued Signals
If the time-domain signal is real-valued (), its Fourier transform satisfies the conjugate-symmetric property: . This forces strict symmetry bounds on the spectra:
- Even Magnitude Symmetry: The magnitude spectrum is an even function of frequency.
- Odd Phase Symmetry: The phase spectrum is an odd function of frequency.
EVEN MAGNITUDE SPECTRUM ODD PHASE SPECTRUM
|X(jΩ)| ∠X(jΩ)
^ ^
* | * | *
* | * | *
* | * -------------+-------------> Ω
* | * * |
----+--------+--------+----> Ω * |
-Ω0 0 Ω0 * |
-Ω0
2. Single-Sided vs. Double-Sided Spectra
When visualizing discrete spectral lines of periodic sinusoids, we use two different plotting conventions:
2.1 Single-Sided Spectra
- Concept: Plots only physical, non-negative frequencies ().
- Basis: Originates directly from the trigonometric Fourier Series expansion of a real signal:
- Plotting Rules:
- Plot an impulse at each positive harmonic frequency with height equal to the full peak amplitude .
- Plot the corresponding phase at each positive harmonic frequency .
2.2 Double-Sided Spectra
- Concept: Plots both positive and negative frequencies ().
- Basis: Originates from the complex exponential Fourier representation:
- Euler Conversion: To represent a real-valued cosine wave exponentially, we expand it using Euler’s formula:
- Plotting Rules:
- Halved Amplitude Split: The peak amplitude splits equally into two rotating phasors of length located at .
- Conjugate Phase Split: The phase angle is plotted at the positive frequency , while its negative conjugate is plotted at the negative frequency .
3. The Modulation (Frequency Shifting) Theorem
The Modulation Theorem
Let be a low-frequency message signal {with bandwidth bounded such that for }. Multiplying this message signal by a high-frequency sinusoidal carrier wave translates the entire baseband spectrum continuously in frequency, centering it at the carrier frequencies :
3.1 Mathematical Derivation
We prove the theorem using the fundamental Frequency Shifting Property of the continuous-time Fourier transform:
- Express the carrier wave in complex exponential form using Euler’s identity:
- Substitute this expression into the modulated signal equation:
- Take the Fourier transform of both sides using the Linearity and Frequency Shifting properties:
MESSAGE SPECTRUM M(jΩ) MODULATED DSB-SC SPECTRUM Y(jΩ)
|M(jΩ)| |Y(jΩ)|
^ ^
---|--- ---|--- ---|---
-Ωm 0 Ωm --> Ω -Ωc 0 Ωc --> Ω
|<-2Ωm->|
Physical Context: Double-Sideband Suppressed-Carrier (DSB-SC)
This spectral translation is called Double-Sideband Suppressed-Carrier (DSB-SC) amplitude modulation. The original baseband signal requires a physical antenna size proportional to the wavelength . By shifting the message spectrum up to a high-frequency carrier (where ), we decrease the wavelength drastically, allowing highly efficient transmission over compact, practical antennas.
4. High-Yield Worked Examples (The Exam Classics)
4.1 Example 1: Double-Sided Spectrum of a Simple Cosine [PYQ 2019 Q5b/c - 1 Mark]
Question: Sketch the double-sided frequency spectrum of the signal:
Step-by-Step Mathematical Analysis:
- Identify Parameters:
- Peak Amplitude .
- Fundamental Cyclic Frequency Hz Angular Frequency rad/s.
- Phase Angle rad.
- Apply Euler’s Expansion:
- Determine Double-Sided Coefficients:
- At rad/s: Amplitude , Phase rad (or ).
- At rad/s: Amplitude , Phase rad (or ).
- All other frequency components are exactly zero.
Plotting the Spectra:
DOUBLE-SIDED AMPLITUDE SPECTRUM DOUBLE-SIDED PHASE SPECTRUM
|X(jΩ)| ∠X(jΩ) (rad)
^ ^
| | pi/6
5 | 5 | o
| | | | |
------+-------+-------+------> Ω -------+----+-------> Ω
-20pi 0 20pi -20pi | 20pi
| o
| -pi/6
4.2 Example 2: Complete Single & Double-Sided Spectra [PYQ 2017 Question 5b - 5 Marks]
Question: Sketch the single and double-sided frequency spectra of the following signal:
Step-by-Step Mathematical Analysis:
-
Identify Parameters:
- Peak Amplitude .
- Angular Frequency rad/s.
- Phase Angle rad (or ).
-
Single-Sided Representation:
- Plots only the positive physical frequency rad/s.
- Amplitude Line: Height at .
- Phase Line: Angle rad at .
-
Double-Sided Representation:
- Phasor amplitude is halved: .
- At rad/s: Amplitude , Phase rad.
- At rad/s: Amplitude , Phase rad.
Plotting both spectrum sets:
SINGLE-SIDED SPECTRA (Ω >= 0) DOUBLE-SIDED SPECTRA (All Ω)
|X(jΩ)| single |X(jΩ)| double
^ ^
25 | | 12.5 | | |
| | | | |
---+-------+---------> Ω -----+-----+-----+-----> Ω
0 5pi -5pi 0 5pi
∠X(jΩ) single ∠X(jΩ) double (rad)
^ ^
| | pi/2
---+-------+---------> Ω | o
0 | 5pi ----+---+---+-----> Ω
| o -5pi | 5pi
|-pi/2 | o
|-pi/2
4.3 Example 3: The Sine Phase-Conversion Trap [PYQ 2018 Question 5b/c - 2 Marks]
Question: Sketch the single and double-sided frequency spectra of the signal:
Step-by-Step Mathematical Analysis:
Critical Exam Trap: Converting Sine to Cosine
Spectral plotting conventions are strictly derived from the cosine basis wave: . Reading the phase directly from a sine representation will result in a zero-mark penalty. You must always convert the sine function to cosine first using the identity: .
- Apply Phase Conversion:
- Identify Converted Parameters:
- Peak Amplitude .
- Angular Frequency rad/s.
- Phase Angle rad (or rad, since represent the same physical point).
- Single-Sided Representation:
- At rad/s: Amplitude , Phase rad.
- Double-Sided Representation:
- Halved amplitude: .
- At rad/s: Amplitude , Phase rad.
- At rad/s: Amplitude , Phase rad (due to odd symmetry ).
Plotting the Spectra:
SINGLE-SIDED AMPLITUDE & PHASE DOUBLE-SIDED AMPLITUDE & PHASE
|X| single |X| double
^ ^
12 | | 6 | | |
---+-----+-----> Ω +---+-----+-----> Ω
0 5pi -5pi 0 5pi
∠X single ∠X double (rad)
^ ^
| pi | o
---+-----+-----> Ω +---+-----+-----> Ω
0 | 5pi -5pi | 5pi
| o | o
|-pi -pi|
4.4 Example 4: Large-Mark Symmetrical Double-Sided Spectrum [PYQ 2016 Q5b - 8 Marks]
Question: Draw the double-sided frequency spectrum of:
Step-by-Step Mathematical Analysis:
- Convert Sine to Cosine first:
- Identify Parameters:
- Peak Amplitude .
- Angular Frequency rad/s.
- Phase Angle rad (or ).
- Determine Double-Sided Components:
- Halved Amplitude: .
- At rad/s: Amplitude , Phase rad.
- At rad/s: Amplitude , Phase rad (odd symmetry).
Plotting the Spectra:
DOUBLE-SIDED AMPLITUDE SPECTRUM DOUBLE-SIDED PHASE SPECTRUM
|X(jΩ)| ∠X(jΩ) (rad)
^ ^
| 3pi/4 | o
4 | 4 | |
| | | | |
------+-------+-------+------> Ω -------+---+-------> Ω
-20pi 0 20pi -20pi | 20pi
| o
| -3pi/4
5. Common Mistakes That Cost Marks
The Sine-Basis Phase Reading Slip
This is the #1 reason students lose marks on spectral sketching questions. If the given equation is written in terms of a sine wave (e.g., ), you must convert it to a cosine wave using before reading the phase angle. Reading phase directly from a sine wave yields a phase error of exactly , causing an automatic zero-mark evaluation on the phase spectrum plot.
Double-Sided Amplitude Halving Omission
When converting a time-domain sinusoid to a double-sided exponential spectrum, you must split the peak amplitude in half (). Forgetting to divide by 2 (e.g., plotting lines of height 10 instead of 5 for a wave) is a standard math-syntax error that costs up to 50% of the question’s total marks.
Even Phase Plotting Violation
The phase spectrum of any real-valued signal must have odd symmetry (ngle X(-j\Omega) = -ngle X(j\Omega)). If you draw positive phase angles at both positive and negative frequencies, your plot violates basic complex number theory, leading to a major point reduction.
6. PYQ Bank — Verbatim Questions & Answer Plans
6.1 PYQ 2019 Question 5c [1 Mark]
Question: Sketch the double-sided frequency spectrum of the signal .
- Answer Plan:
- Identify and rad.
- Divide peak amplitude to get .
- State double-sided values: amplitude 5 at , phase at , and phase at .
- Plot the amplitude and phase spectrum as shown in Section 4.1.
6.2 PYQ 2017 Question 5b [5 Marks]
Question: Sketch the single and double sided frequency spectra of the following signal: .
- Answer Plan:
- Identify base parameters: rad.
- Draft single-sided plots at with amplitude 25 and phase .
- Draft double-sided plots at with amplitude 12.5 and phase .
- Render both sets clearly labeled as shown in Section 4.2.
6.3 PYQ 2018 Question 5c [2 Marks]
Question: Sketch single and double-sided frequency spectra of the signal .
- Answer Plan:
- Write down the sine-to-cosine conversion: .
- Extract parameters: rad.
- Calculate single-sided parameters and double-sided parameters ().
- Draw both plots with accurate axis ticks as shown in Section 4.3.
7. Self-Check Before Moving On
- Can you explain why real-valued signals must have even amplitude and odd phase spectra? [1.1]
- Do you know how to convert a sine signal to cosine before extracting phase parameters? [4.3]
- Have you memorized the amplitude halving rule () for double-sided spectra? [2.2]
- Can you state and derive the Modulation Theorem in under 2 minutes? [3.1]
Source: (k.Deergha Rao) signals and systems.pdf (Chapter 3), 02 Fourier Transform.pdf, Rabiul sir class note.pdf.