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Communication Engineering (1333201) - Winter 2024 Solution

23 mins· ·
Study-Material Solutions Communication-Engineering 1333201 2024 Winter
Milav Dabgar
Author
Milav Dabgar
Experienced lecturer in the electrical and electronic manufacturing industry. Skilled in Embedded Systems, Image Processing, Data Science, MATLAB, Python, STM32. Strong education professional with a Master’s degree in Communication Systems Engineering from L.D. College of Engineering - Ahmedabad.
Table of Contents

Question 1(a) [3 marks]
#

What is modulation? What is the need of it?

Answer: Modulation is the process of varying one or more properties of a high-frequency carrier signal with a modulating signal containing information.

Table: Need for Modulation

ReasonExplanation
Antenna SizeReduces antenna size requirements (λ = c/f)
MultiplexingAllows multiple signals to share the spectrum
RangeIncreases transmission distance
InterferenceReduces noise interference
  • Practical transmission: Makes low-frequency information signals suitable for wireless transmission
  • Signal separation: Enables different signals to be transmitted simultaneously

Mnemonic: “RARE Messages” (Range, Antenna, Reduce interference, Enable multiplexing)

Question 1(b) [4 marks]
#

Compare AM and FM.

Answer:

Table: Comparison between AM and FM

ParameterAM (Amplitude Modulation)FM (Frequency Modulation)
Parameter variedAmplitude of carrierFrequency of carrier
BandwidthNarrow (2 × fm)Wide (2 × mf × fm)
Noise immunityPoorExcellent
Power efficiencyLess efficientMore efficient
Circuit complexitySimpleComplex
QualityModerateHigh
ApplicationsMedium wave broadcastingHigh-fidelity broadcasting

Mnemonic: “BANC-QA” (Bandwidth, Amplitude/frequency, Noise, Complexity, Quality, Applications)

Question 1(c) [7 marks]
#

Explain Amplitude modulation with waveform and derive voltage equation for modulated signal also Sketch the frequency spectrum of the DSBFC AM.

Answer:

Amplitude Modulation (AM) is a technique where the amplitude of a carrier wave is varied in proportion to the instantaneous amplitude of the modulating signal.

Voltage Equation:

  • Carrier signal: v₁(t) = A₁ sin(ωct)
  • Modulating signal: v₂(t) = A₂ sin(ωmt)
  • Modulated signal: v(t) = A₁[1 + m sin(ωmt)] sin(ωct)
  • Where m = A₂/A₁ (modulation index)

Diagram: AM Waveform

graph TD
    subgraph "AM Waveform"
    A[Carrier Wave] --> D[Modulated Wave]
    B[Modulating Signal] --> D
    end
    style D fill:#f9f,stroke:#333,stroke-width:2px

MACMadruSrliiagetnrianlg

Frequency Spectrum of DSBFC AM

Amplitmu·dAe/fA2c-fmfcfc+fm_Frequency
  • Bandwidth: The bandwidth of AM signal is 2 × fm
  • Sidebands: Upper sideband (USB) at fc+fm and Lower sideband (LSB) at fc-fm
  • Power distribution: In carrier and two sidebands

Mnemonic: “CAM-SIP” (Carrier Amplitude Modified, Sidebands In Pair)

Question 1(c) OR [7 marks]
#

Derive the equation for total power in AM, calculate percentage of power savings in DSB and SSB.

Answer:

Derivation of Total Power in AM:

  • AM signal: v(t) = A₁[1 + m sin(ωmt)] sin(ωct)
  • Total power: P = P₍carrier₎ + P₍sidebands₎
  • P₍carrier₎ = A₁²/2
  • P₍sidebands₎ = A₁²m²/4

Table: Power Distribution in AM

ComponentPower Expression% of Total Power (m=1)
CarrierP₍c₎ = A₁²/266.67%
SidebandsP₍s₎ = A₁²m²/433.33%
TotalP₍t₎ = A₁²(1+m²/2)/2100%

Power Savings:

  • DSB-SC: 100% carrier power saved (66.67% of total power)

    • Only sidebands are transmitted
    • Percentage savings = (P₍c₎/P₍t₎) × 100 = 66.67%
  • SSB: 50% of sideband power + 100% carrier power saved

    • One sideband + carrier removed
    • Percentage savings = (P₍c₎ + P₍s₎/2)/P₍t₎ × 100 = 83.33%

Diagram: Power Distribution

Powe6r6C.a6r7r%ier16.L6S7B%16U.S6B7%Freq

Mnemonic: “CAST-83” (Carrier And Sideband Transmission, 83% saved in SSB)

Question 2(a) [3 marks]
#

Define (1) Modulation index for AM (2) Modulation index For FM.

Answer:

Table: Modulation Index Definitions

ParameterAM Modulation IndexFM Modulation Index
DefinitionRatio of peak amplitude of modulating signal to peak amplitude of carrierRatio of frequency deviation to modulating frequency
Formulam = Am/Acmf = Δf/fm
Range0 ≤ m ≤ 1 for no distortionNo specific upper limit
EffectDetermines % modulationDetermines bandwidth
  • AM Modulation Index: Controls the amplitude variation and power distribution
  • FM Modulation Index: Determines bandwidth and signal quality

Mnemonic: “ARM-FDM” (Amplitude Ratio for Modulation, Frequency Deviation for Modulation)

Question 2(b) [4 marks]
#

Draw and explain block diagram for envelope detector.

Answer:

Diagram: Envelope Detector

AMSignalDiodeFiRlCterLoadDeOmuotdpuultated

Table: Components and Their Functions

ComponentFunction
DiodeRectifies the AM signal (removes negative half-cycles)
RC FilterSmooths the rectified signal to recover the envelope
LoadProvides output circuit and impedance matching
  • Working principle: The diode conducts only during positive half-cycles
  • Time constant: RC must be large enough to prevent ripple but small enough to follow modulation
  • Condition: RC » 1/fc but RC « 1/fm

Mnemonic: “DEER” (Diode Extracts Envelope Representation)

Question 2(c) [7 marks]
#

Draw block diagram of FM radio receiver and explain working of each block.

Answer:

Diagram: FM Radio Receiver

flowchart LR
    A[Antenna] --> B[RF Amplifier]
    B --> C[Mixer]
    D[Local Oscillator] --> C
    C --> E[IF Amplifier]
    E --> F[Limiter]
    F --> G[FM Discriminator]
    G --> H[Audio Amplifier]
    H --> I[Speaker]

Table: Functions of Each Block

BlockFunction
AntennaReceives electromagnetic waves
RF AmplifierAmplifies weak RF signals (88-108 MHz)
MixerConverts RF to IF frequency (10.7 MHz)
Local OscillatorGenerates frequency for mixing (RF+10.7 MHz)
IF AmplifierAmplifies IF signal with fixed gain
LimiterRemoves amplitude variations
FM DiscriminatorConverts frequency variations to voltage
Audio AmplifierAmplifies recovered audio
SpeakerConverts electrical to sound waves
  • Superheterodyne principle: Uses frequency conversion to process signals at fixed IF
  • Distinctive FM feature: Limiter removes noise in amplitude before demodulation

Mnemonic: “RAMLIDASS” (RF, Amplifier, Mixer, Local oscillator, IF, Discriminator, Audio, Speaker System)

Question 2(a) OR [3 marks]
#

Draw only Waveform For frequency modulation and Phase modulation.

Answer:

Diagram: FM and PM Waveforms

MFPoMMduSSliiaggtnniaanllgSignal

Key Characteristics:

  • FM: Frequency increases when modulating signal is positive
  • PM: Phase shifts immediately with amplitude changes

Mnemonic: “FIP-PAF” (Frequency Increases with Positive signal, Phase Advances with Faster changes)

Question 2(b) OR [4 marks]
#

Define any FOUR characteristics of radio receiver.

Answer:

Table: Characteristics of Radio Receiver

CharacteristicDefinition
SensitivityAbility to receive weak signals (measured in μV or dBm)
SelectivityAbility to separate desired signal from adjacent channels
FidelityAccuracy of reproducing the original modulating signal
Image RejectionAbility to reject image frequency interference

Additional characteristics:

  • Signal-to-Noise Ratio: Ratio of signal power to noise power
  • Bandwidth: Range of frequencies that can be received
  • Stability: Ability to maintain tuned frequency

Mnemonic: “SFIS-BSS” (Sensitivity, Fidelity, Image rejection, Selectivity - Better Signal Stability)

Question 2(c) OR [7 marks]
#

Draw block diagram of AM radio receiver and explain working of each block.

Answer:

Diagram: AM Radio Receiver

flowchart LR
    A[Antenna] --> B[RF Tuner & Amplifier]
    B --> C[Mixer]
    D[Local Oscillator] --> C
    C --> E[IF Amplifier]
    E --> F[Detector]
    F --> G[AGC]
    G --> E
    F --> H[Audio Amplifier]
    H --> I[Speaker]

Table: Functions of Each Block

BlockFunction
AntennaCaptures AM radio waves
RF Tuner & AmplifierSelects and amplifies desired frequency
MixerConverts RF signal to IF (455 kHz)
Local OscillatorGenerates frequency for mixing (RF+455 kHz)
IF AmplifierAmplifies IF signal with fixed selectivity
DetectorRecovers audio from AM envelope
AGCProvides automatic gain control
Audio AmplifierAmplifies audio signal
SpeakerConverts electrical to sound waves
  • Superheterodyne principle: Uses frequency conversion for better selectivity
  • AGC feedback loop: Maintains constant output despite signal strength variations

Mnemonic: “ARMLESS” (Antenna, RF, Mixer, Local oscillator, Envelope detector, Sound System)

Question 3(a) [3 marks]
#

Define quantization. Explain non uniform quantization in brief.

Answer:

Quantization is the process of converting continuous amplitude values into discrete levels for digital representation.

Table: Non-uniform Quantization

AspectDescription
DefinitionAssigning different step sizes for different amplitude ranges
AdvantageReduces quantization noise for small amplitude signals
ImplementationUsing companding (compression-expansion) techniques
Exampleμ-law and A-law companding used in telephony
  • Working principle: Smaller step sizes for lower amplitudes, larger steps for higher amplitudes
  • Effect: Improves SNR for weak signals at the expense of strong signals

Mnemonic: “QUEST-CS” (QUantization with Enhanced Steps - Compressing Small signals)

Question 3(b) [4 marks]
#

Explain Sample and hold Circuit with Waveform.

Answer:

Diagram: Sample and Hold Circuit

AICnnlapolucotkgSaHmopllde&SaOmuptlpeudt

Diagram: Sample and Hold Waveform

ACSnlaaomlcpoklgePdSuilOgsunetasplut

Sample and Hold Operation:

  • Sampling mode: Switch closes, capacitor charges to input voltage
  • Hold mode: Switch opens, capacitor maintains voltage
  • Parameters: Acquisition time, aperture time, hold time, droop rate

Mnemonic: “CHASED” (Capacitor Holds Amplitude Samples for Extended Duration)

Question 3(c) [7 marks]
#

What is sampling? Explain types of sampling in brief.

Answer:

Sampling is the process of converting a continuous-time signal into a discrete-time signal by taking measurements at regular intervals.

Table: Types of Sampling

TypeDescriptionCharacteristics
Natural SamplingSignal is multiplied with rectangular pulsesRetains original signal shape during pulse
Flat-top SamplingSample value is held constant during sampling intervalCreates a staircase-like output
Ideal SamplingInstantaneous samples represented as impulsesTheoretical concept with zero width pulses
Uniform SamplingSamples taken at equal time intervalsMost common in practice
Non-uniform SamplingSamples taken at varying intervalsUsed for specialized applications

Diagram: Sampling Types

ONFralitagutir-natalolpSSaSimagpmnlpaillnigng
  • Nyquist criterion: Sampling frequency must be at least twice the highest frequency in the signal

Mnemonic: “INFUN” (Ideal, Natural, Flat-top, Uniform, Non-uniform)

Question 3(a) OR [3 marks]
#

Explain quantization process and its necessity.

Answer:

Quantization Process maps continuous amplitude values to finite discrete levels for digital representation.

Table: Quantization Process and Necessity

AspectDescription
ProcessDividing amplitude range into discrete levels
NecessityRequired for analog-to-digital conversion
EffectIntroduces quantization error/noise
ParametersStep size, number of levels (2ⁿ for n-bit)
  • Step size calculation: Step size = (Vmax - Vmin)/2ⁿ
  • Quantization error: Maximum error is ±Q/2 where Q is step size
  • Applications: Digital communication, audio/video processing, data storage

Mnemonic: “SEND” (Step-size Establishes Noise in Digitization)

Question 3(b) OR [4 marks]
#

State and explain Nyquist Criteria for sampling of signal.

Answer:

Nyquist Sampling Theorem states that to perfectly reconstruct a bandlimited signal, the sampling frequency must be at least twice the highest frequency component in the signal.

Table: Nyquist Criteria

ParameterDescription
Criterionfs ≥ 2fmax
Nyquist Rate2fmax (minimum sampling frequency)
Nyquist Interval1/(2fmax) (maximum sampling period)
AliasingOccurs when fs < 2fmax

Diagram: Sampling Effects

POSRAOSRrraelraeoimsiimspgpuagpueillsillrnetinetas:nas:Sl:gl:a::m(pflsin<g2(ffmsa(xl>)ow2efrmafxr)equency)
  • Consequences of undersampling: Aliasing (frequency folding)
  • Practical application: Anti-aliasing filters used before sampling

Mnemonic: “TRAP-A” (Twice Rate Avoids Problematic Aliasing)

Question 3(c) OR [7 marks]
#

Explain PAM, PWM and PPM with waveform.

Answer:

Table: Pulse Modulation Techniques

TechniqueDescriptionParameter VariedApplication
PAMPulse Amplitude ModulationAmplitude of pulsesSimple ADC systems
PWMPulse Width ModulationWidth/duration of pulsesMotor control, power regulation
PPMPulse Position ModulationPosition/timing of pulsesHigh noise immunity systems

Diagram: Pulse Modulation Waveforms

MPPPoAWPdMMMulatingSignal
  • PAM: Simplest form, most susceptible to noise
  • PWM: Better noise immunity, easy generation
  • PPM: Best noise immunity, requires precise timing

Mnemonic: “AWP-PAW” (Amplitude, Width, Position - Pulse Alteration Ways)

Question 4(a) [3 marks]
#

What is slop overload noise and granular noise in DM?

Answer:

Table: Noise Types in Delta Modulation

Noise TypeDefinitionCauseSolution
Slope Overload NoiseError when signal slope exceeds step size capabilityStep size too small for rapidly changing signalsIncrease step size or sampling frequency
Granular NoiseError due to continuous hunting around slowly varying signalsStep size too large for slowly changing signalsDecrease step size

Diagram: DM Noise Types

SGlroAaApcnc/etDutuMlu\Oaaa/vlOrleu\rtN/lpoui\ats/de:(:\s/te\psDcManO'uttpkuetep(cuopn)tinuouszigzag)

Mnemonic: “FAST-SLOW” (Fast signals cause Slope overload, SLOW signals cause Granular noise)

Question 4(b) [4 marks]
#

Draw and explain TDM frame.

Answer:

Diagram: TDM Frame Structure

FSCH1CH2CH3...CHnFSCCChhFLhaaFraannrasnnnamtneemeelleclSh21Sya3ynnssncnsaaceammhflmppropllorsleenaeinmzepaxltteiofnrame

Table: TDM Frame Components

ComponentDescription
Frame Sync (FS)Pattern that marks the start of frame
Time SlotPortion allocated to one channel
Channel SampleData from a specific channel
Frame LengthTotal duration (FS + all channels)
  • Working principle: Allocates different time slots to different channels
  • Synchronization: Essential for proper demultiplexing
  • Types: Synchronous TDM (fixed slots) and Statistical TDM (dynamic allocation)

Mnemonic: “FAST-Ch” (Frame And Slots for Transmitting Channels)

Question 4(c) [7 marks]
#

Describe the function of each block of PCM transmitter and Receiver. Give application, advantage and disadvantage of PCM system.

Answer:

Diagram: PCM System

flowchart LR
    subgraph "PCM Transmitter"
    A[Sampler] --> B[Quantizer]
    B --> C[Encoder]
    C --> D[Line Coder]
    end
    subgraph "PCM Receiver"
    E[Line Decoder] --> F[Decoder]
    F --> G[Reconstruction Filter]
    end
    D --> E

Table: PCM Block Functions

BlockFunction
SamplerConverts analog signal to PAM signal
QuantizerAssigns discrete levels to samples
EncoderConverts quantized levels to binary code
Line CoderConverts binary to transmission format
Line DecoderRecovers binary from received signal
DecoderConverts binary back to quantized levels
Reconstruction FilterSmooths decoded output into analog signal

Applications, Advantages and Disadvantages:

Table: PCM System Characteristics

CategoryDescription
ApplicationsTelephone systems, CD audio, Digital TV, Mobile communications
AdvantagesImmune to noise, Signal regeneration possible, Compatible with digital systems
DisadvantagesRequires higher bandwidth, Higher complexity, Quantization noise

Mnemonic: “SEQUEL-DR” (Sample, Quantize, Encode - Line code, Decode, Reconstruct)

Question 4(a) OR [3 marks]
#

Give difference between DM and ADM modulation.

Answer:

Table: Comparison between DM and ADM

ParameterDelta Modulation (DM)Adaptive Delta Modulation (ADM)
Step SizeFixedVariable (adapts to signal slope)
Tracking AbilityLimitedBetter signal tracking
Noise PerformanceSuffers from slope overload and granular noiseReduced noise problems
ComplexitySimplerMore complex

Diagram: DM vs ADM Tracking

IDAnMDpMuOtuOtuSptiupgtun:ta:l(:lar\\g//er\/step/s\\/f/or\\steepslopes)

Mnemonic: “FAST-VAR” (Fixed And Simple Tracking vs Variable Adaptive Response)

Question 4(b) OR [4 marks]
#

Explain Block diagram of basic PCM-TDM system.

Answer:

Diagram: PCM-TDM System

flowchart LR
    A[Input 1] --> B[Low-pass Filter]
    C[Input 2] --> D[Low-pass Filter]
    E[Input n] --> F[Low-pass Filter]
    B & D & F --> G[Multiplexer]
    G --> H[PCM Encoder]
    H --> I[Transmission Channel]
    I --> J[PCM Decoder]
    J --> K[Demultiplexer]
    K --> L[Output 1] & M[Output 2] & N[Output n]

Table: PCM-TDM System Components

ComponentFunction
Low-pass FiltersLimit bandwidth of input signals
MultiplexerCombines multiple signals into time slots
PCM EncoderConverts to digital (sample, quantize, encode)
Transmission ChannelCarries digitized, multiplexed signal
PCM DecoderReconstructs quantized samples
DemultiplexerSeparates channels from time slots
  • Working principle: Combines time division multiplexing with pulse code modulation
  • Applications: Digital telephony, digital audio broadcasting, communication networks

Mnemonic: “FLIMPED” (Filter, Limit, Multiplex, PCM Encode, Decode)

Question 4(c) OR [7 marks]
#

Explain DPCM modulator with equation and waveform.

Answer:

Differential Pulse Code Modulation (DPCM) encodes the difference between the current sample and a predicted value based on previous samples.

Equation:

  • Error signal: e(n) = x(n) - x̂(n)
  • Where x(n) is current sample, x̂(n) is predicted sample
  • Prediction: x̂(n) = Σ(aᵢ × x(n-i))
  • Transmitted signal: DPCM output = Q[e(n)]

Diagram: DPCM Modulator

flowchart LR
    A[Input x(n)] --> B((+))
    B --> C[Quantizer]
    C --> D[Encoder]
    D --> E[Output]
    C --> F[Predictor]
    F -->|x̂(n)| G((−))
    G --> B

Diagram: DPCM Waveform

OPDrriiefgdfiiencratelendcSeaSma(pmDlpPelCseM:s)::(smallervalues)

Table: DPCM Characteristics

FeatureDescription
AdvantageReduced bit rate (30-50% compared to PCM)
PredictionUses previous sample(s) for current prediction
ComplexityHigher than PCM but lower than ADPCM
ApplicationSpeech coding, image compression

Mnemonic: “PQED” (Predict, Quantize Error, Encode Difference)

Question 5(a) [3 marks]
#

Define Antenna and radiation pattern and polarization.

Answer:

Table: Antenna Definitions

TermDefinition
AntennaA device that converts electrical energy into electromagnetic waves and vice versa
Radiation PatternGraphical representation of radiation properties of an antenna as a function of space coordinates
PolarizationOrientation of the electric field vector of the electromagnetic wave radiated by the antenna

Types of Polarization:

  • Linear: Electric field oscillates in one direction (vertical, horizontal)
  • Circular: Electric field rotates with constant amplitude (RHCP, LHCP)
  • Elliptical: Electric field rotates with varying amplitude

Mnemonic: “WAVE-PRO” (Wireless Antenna Validates Electromagnetic Propagation, Radiation, Orientation)

Question 5(b) [4 marks]
#

Explain Microstrip Antenna with sketch.

Answer:

Diagram: Microstrip Patch Antenna

FeedpointPatch(radiatDGiirneogluenecdlterpmilecanntse)ubstrate

Table: Microstrip Antenna Components

ComponentFunction
PatchRadiating element (usually copper)
SubstrateDielectric material between patch and ground
Ground PlaneMetal layer at bottom
Feed PointConnection point for signal
  • Working principle: Fringing fields at edges cause radiation
  • Advantages: Low profile, lightweight, easy fabrication, compatible with PCB
  • Applications: Mobile devices, satellites, aircraft, RFID tags

Mnemonic: “SPGF” (Substrate, Patch, Ground, Feed)

Question 5(c) [7 marks]
#

Explain delta modulation with necessary sketch and waveform.

Answer:

Delta Modulation (DM) is the simplest form of differential pulse code modulation where the difference between successive samples is encoded into a single bit.

Diagram: Delta Modulator

flowchart LR
    A[Input Signal] --> B((+))
    B --> C[1-bit Quantizer]
    C --> D[Output]
    C --> E[Delay]
    E --> F[Integrator]
    F -->|Approximated Signal| G((−))
    G --> B

Diagram: Delta Modulation Waveform

ICDSnlMtpoeucOptkˉu1|tASPˉp1piu|upglˉt1rns|o\aeˉ(1x/ls|bi::ˉi0m\|taˉs0t/|)iˉ:0o\|nˉ0:|ˉ0|ˉ1|ˉ1|ˉ1|ˉ0|ˉ0|ˉ0|ˉ0

Table: Delta Modulation Characteristics

CharacteristicDescription
Bit Rate1 bit per sample
Step SizeFixed (major limitation)
Slope OverloadOccurs when signal changes faster than step size can track
Granular NoiseOccurs in slowly changing signals (continuous hunting)
AdvantagesSimplicity, low bit rate
DisadvantagesLimited dynamic range, noise problems

Mnemonic: “SIGN-UP” (SInGle bit, Next step Up or down, Predict)

Question 5(a) OR [3 marks]
#

What is smart antenna? list application of it.

Answer:

A Smart Antenna is an adaptive array system that uses digital signal processing algorithms to dynamically adjust its radiation pattern to enhance communication performance.

Table: Smart Antenna Applications

ApplicationBenefit
Cellular Base StationsIncreased capacity and coverage
Wireless LANImproved throughput and reduced interference
Satellite CommunicationsBetter signal quality and power efficiency
Military CommunicationsEnhanced security and jam resistance
IoT NetworksExtended battery life, improved connectivity
  • Working principle: Uses beamforming to focus signal energy toward desired users
  • Types: Switched beam systems and adaptive array systems

Mnemonic: “SWIM-CM” (Smart Wireless In Mobile-Cellular-Military)

Question 5(b) OR [4 marks]
#

Explain parabolic reflector antenna With Sketch.

Answer:

Diagram: Parabolic Reflector Antenna

FPeoeidnt

Table: Parabolic Reflector Components

ComponentFunction
Parabolic DishReflects and focuses signals
Feed HornRadiates/receives signals at focal point
Supporting StructureMaintains geometry and stability
WaveguideConnects feed horn to transmitter/receiver
  • Working principle: Incoming parallel rays are reflected to focus at focal point
  • Characteristics: High gain, directivity, narrow beamwidth
  • Applications: Satellite communication, radio astronomy, radar, microwave links

Mnemonic: “PFGH” (Parabolic Focus Gives High-gain)

Question 5(c) OR [7 marks]
#

Explain Adaptive Delta modulation with necessary sketch and waveform.

Answer:

Adaptive Delta Modulation (ADM) improves on standard DM by dynamically adjusting the step size according to the input signal characteristics.

Diagram: Adaptive Delta Modulator

flowchart LR
    A[Input Signal] --> B((+))
    B --> C[1-bit Quantizer]
    C --> D[Output]
    C --> E[Step Size Control]
    E --> F[Integrator]
    F -->|Approximated Signal| G((−))
    G --> B

Diagram: ADM Waveform

IAnDpM(ultOaurStgipegurntaslt:veaprsiafbolresstteeepp):slopes)

Table: ADM Characteristics

AspectDescription
Step SizeVariable (adapts to signal slope)
Control LogicIncreases step size for consecutive same bits
AdvantagesReduced slope overload and granular noise
DisadvantagesMore complex than DM
ApplicationsSpeech coding, telemetry, digital telephony
PerformanceBetter SNR than DM at same bit rate
  • Step size adaptation: μ(n) = μ(n-1) × K if consecutive bits are same
  • Step size adaptation: μ(n) = μ(n-1) / K if consecutive bits change

Mnemonic: “ADVISED” (ADaptive Variable Increment Step for Enhanced Delta modulation)

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