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Digital communication System
Digital communication systems convert analogue signals into digital signals using Pulse Code Modulation (PCM)
PCM
involves sampling, quantization, and coding.
Sampling
Sampling reads amplitude values of a continuous signal at regular intervals.
The signal after sampling is a discrete time signal, also referred to as a PAM signal.
Impulse Signal
also known as ideal sampling.
Pulse Sampling
uses a train of pulses and can be natural or flat-top.
Natural Pulse
uses a FET as a switch.
Flat-top pulse sampling
uses a sample-and-hold circuit.
Sample and hold circuits
charge a capacitor during the sampling interval and hold the voltage for quantization.
Shannon's sampling theorem
states that an analogue signal with a max frequency of fmax can be reconstructed if the sampling frequency, fs, is greater than or equal to 2fmax.
fmax
fmax is the Nyquist frequency.
2fmax
Nyquist rate
Aliasing
when a signal is sampled below the Nyquist rate, causing a loss of information.
Quantization
converts the amplitude of a PAM signal into a discrete value.
Quantization width/resolution
is the spacing between quantization levels.
Non-uniform quantization
uses variable step sizes, achieved through compression and expansion (companding).
Mu-law and A-law
are companding standards.
Encoding
converts a quantised PAM signal into a code, usually binary.
The number of bits, n, required for a PCM code word is determined by n = log2(M), where M is the number of quantization levels.
Differential PCM (DPCM)
encodes the first sample and the differences between successive samples.
Delta modulation
compares consecutive quantized samples and outputs a 1 if the current is greater and a 0 if it is less than the previous one.
Slope overload
occurs if the input signal changes faster than the step generator in delta modulation.
Granular noise/hunting
is another error that can occur in delta modulation.
Line Coding
converts digital data to digital signals.
Desirable properties of a line code include no baseline wander, no DC components, self-synchronisation, built-in error detection, noise immunity, low complexity and transparency.
HDB3
Line code similar to AMI
Information Theory
Information theory provides a quantitative measure of information in message signals.
Discrete Information SourceA memoryless source produces symbols independent of previous symbols.
A discrete information source has a set of symbols as possible outcomes.
Memoryless source
A memoryless source produces symbols independent of previous symbols.
Information Content
The information content of a symbol is measured in bits.
Hartley Equation
The Hartley equation defines the information content of a symbol.
Entropy
Entropy is the average information content of a source.
Source Coding Theorem
The source coding theorem states that the minimum average length of a code word is related to the entropy.
Efficiency of a code
Efficiency of a code is the ratio of entropy to average length.
Binary Symmetric Source
A Binary Symmetric Source (BSS) has two outputs with probabilities z and (1-z).
Shannon-Hartley Theorem
Shannon-Hartley theorem defines the maximum data rate for a channel.
Source Coding
Source coding reduces the number of bits in a codeword.
Shannon-Fano // Huffman Coding
Shannon-Fano and Huffman coding are types of entropy coding.
Channel Coding
Channel coding detects and corrects errors in received data.
Random Errors
Random errors are single bit errors due to white noise.
Burst errors
Burst errors involve two or more bits in error due to a burst of noise.
Forward Error Correction (FEC)
Forward error correction (FEC) adds redundant bits for error correction.
Block Codes
Block codes add (n-k) redundant bits to k information bits.
Code rate
k/n
Redundant bits
(n-k)
Redundancy
[(n-k)/n] x 100%.
Hamming Distance
Hamming distance is the number of differing bits between two code words.
Minimum Hamming Distance
Minimum Hamming distance is the lowest Hamming distance in a code set.
Hamming Weight
Hamming weight is the number of ones in a codeword.
Systematic Codes
Systematic codes have separate data and redundant bits.
Linear Block Codes
Linear block codes have a modulo-2 sum of two codewords that is also a codeword.
Even Parity
Even parity adds a bit to make the total number of 1s even.
Odd Parity
Odd parity adds a bit to make the total number of 1s odd.
Cyclic Codes
Cyclic codes are a subset of linear block codes where a cyclic shift of a codeword results in another valid codeword.
CRC encoding
CRC encoding involves polynomial division to create a transmitted codeword.
Hamming Codes
Hamming codes are used for single-error correction.
Check bits at the receiver
determine the location of an error.
Hamming Codes: Parity bits
Parity bits are placed at bit positions that are powers of 2 (e.g., 1, 2, 4, 8).
Parity bits are calculated based on the data bits.
Digital Modulation
Digital modulation uses digital messages to modulate a high-frequency carrier wave.
Amplitude Shift Keying (ASK)
Amplitude Shift Keying (ASK) changes the amplitude of the carrier.
On-Off Keying (OOK) is a variant of ASK.
Frequency Shift Keying (FSK)
Frequency Shift Keying (FSK) changes the frequency of the carrier.
Continuous Phase FSK (CPFSK) has smooth transitions.
Phase Shift Keying (PSK)
Phase Shift Keying (PSK) changes the phase of the carrier.
Binary PSK (BPSK) uses two phases.
Quadrature PSK (QPSK) uses four phases.
Differential PSD (DPSK)
Differential PSK (DPSK) encodes data based on phase changes relative to the previous bit.
Noise
Noise is unwanted voltages and currents that corrupt the signal.
External Noise
External noise includes man-made, atmospheric, and space noise.
Internal Noise
Internal noise includes thermal, shot, and flicker noise.
Thermal Noise
Thermal noise is due to the thermal agitation of electrons.
Noise Power
Power available to the load
Noise Power
Noise power is the power available to the load.
Spectral Noise Power Density
Power per unit frequency
Additive White Gaussian Noise (AWGN)
Additive White Gaussian Noise (AWGN) is thermal noise with a white spectrum and Gaussian distribution.
Signal-to-noise ratio (SNR)
Signal-to-noise ratio (SNR) compares signal power to noise power.
Noise Ration (NR)
Noise ratio (NR) is the ratio of input to output SNRs.
Noise Figure (NF)
10log(NR)
Intermodulation Noise
Intermodulation noise occurs due to non-linearities in the communication channel.
Optical Communication Systems
Optical communication systems use light to transmit information.
Transmitters
Transmitters use LEDs or lasers.
Excitation
Excitation is when an electron moves to a higher energy level.
Emission
Emission occurs when an electron returns to a lower energy level.
Spontaneous Emission
Spontaneous emission occurs naturally.
Stimulated Emission
Stimulated emission is induced by a passing photon.
LED
LEDs are pn-junction semiconductor devices that emit light when forward biased.
They can have a homojunction or heterojunction structure.
They can be surface or edge emitters.
LASER
LASERs use stimulated emission of radiation for light amplification.
They require population inversion for lasing action.
Laser light is monochromatic, coherent, has a narrow beam, and high irradiance.
Output Power
Output power is the optical power emitted.
Output Pattern
Output pattern is the area and angle of emitted light.
Spectral Width
Spectral width is the range of wavelengths emitted.
Modulation
can be direct or indirect:
Direct modulation
Direct modulation varies the electrical supply to the light source.
Indirect Modulation
Indirect modulation uses an external modulator.
Responsivity
Responsivity is the ratio of electrical power output to optical power input.
Quantum efficiency
Quantum efficiency is the ratio of electrons generated to incident photons.
Dark current
Dark current is the current generated with no light.
Noise Floor
Noise floor is the minimum detectable power.
Response Time
Response time is the time to respond to an optical input.
Noise equivalent power (NEP)
Noise equivalent power (NEP) is the power for a signal-to-noise ratio of one.
Optical Fibres
Optical fibres consist of a core, cladding, and jacket.
Refractive index
Refractive index determines the velocity of light in a material.
Reflection
Reflection occurs at the boundary of two media.
Refraction
Refraction is the bending of light at a boundary.
Snell’s Law
Snell's law relates the angles and refractive indices of two media.
Critical Angle
Critical angle is the angle of incidence where the angle of refraction is 90 degrees.
Cone of acceptance
The cone of acceptance defines the rays that can propagate through a fibre.