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2/8/2018 1 Lecture 5a: Sampling and Quantization Dr. Mohammed Hawa Electrical Engineering Department University of Jordan EE421: Communications I Copyright © Dr. Mohammed Hawa Electrical Engineering Department, University of Jordan Digitization 2

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2/8/2018

1

Lecture 5a: Sampling and Quantization

Dr. Mohammed HawaElectrical Engineering Department

University of Jordan

EE421: Communications I

Copyright © Dr. Mohammed Hawa Electrical Engineering Department, University of Jordan

Digitization

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Copyright © Dr. Mohammed Hawa Electrical Engineering Department, University of Jordan

Digital Systems Advantages

• Immunity to noise (threshold detection; regenerative repeaters).

• Multiplexing at the baseband level (e.g., TDM) and carrier level (e.g., FDM, CDMA and OFDMA).

• Spread spectrum techniques and orthogonality.• Channel coding (i.e., error correcting codes).• Source coding techniques (i.e., compression). Also

Encryption.• Exchanging SNR for bandwidth.• Using microprocessors and DSP.• Digital signal storage is relatively easy and

inexpensive.

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Copyright © Dr. Mohammed Hawa Electrical Engineering Department, University of Jordan

Digitization

• Sampling (discrete analog signal).• Quantization (quantized discrete signal)• Mapping (stream of 1’s and 0’s). • Encoding and Pulse Shaping (digital baseband signal).

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Copyright © Dr. Mohammed Hawa Electrical Engineering Department, University of Jordan

Analog Signal

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Copyright © Dr. Mohammed Hawa Electrical Engineering Department, University of Jordan

Ideal Sampling

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Copyright © Dr. Mohammed Hawa Electrical Engineering Department, University of Jordan

Practical Sampling

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Copyright © Dr. Mohammed Hawa Electrical Engineering Department, University of Jordan

Samlping

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Copyright © Dr. Mohammed Hawa Electrical Engineering Department, University of Jordan

Ideal Sampling

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Copyright © Dr. Mohammed Hawa Electrical Engineering Department, University of Jordan

Aliasing

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Copyright © Dr. Mohammed Hawa Electrical Engineering Department, University of Jordan

Anti-Aliasing Filter

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Copyright © Dr. Mohammed Hawa Electrical Engineering Department, University of Jordan

Natural Sampling

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Copyright © Dr. Mohammed Hawa Electrical Engineering Department, University of Jordan

Practical Sampling: PAM

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t0 V

m(t)

t0 V

ω0

γ|M(ω)|

2πB−2πB

x(t)

ω

|X(ω)|

LPFγ /Ts γ /Tsγ /Ts γ /Tsγ /Ts γ /Tsγ /Ts

0 ωs−ωs 2ωs−2ωs 3ωs−3ωs

t0 V

x(t)

Ts

t0 V

p(t)

ω0

|P(ω)|

2π/τ−2π/τ

|τ sinc(ωτ/2π)|1.0

τ

ω

|X(ω)|

LPFτ γ / Ts

0 2π/τ−2π/τ

Ts

Copyright © Dr. Mohammed Hawa Electrical Engineering Department, University of Jordan

PAM: Wider Pulses (S/H)

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t0 V

m(t)

t0 V

ω0

γ|M(ω)|

2πB−2πB

x(t)

ω

|X(ω)|

LPFγ /Ts γ /Tsγ /Ts γ /Tsγ /Ts γ /Tsγ /Ts

0 ωs−ωs 2ωs−2ωs 3ωs−3ωs

t0 V

x(t)

Ts

t0 V

p(t)

ω0

|P(ω)|

2π/τ−2π/τ

|τ sinc(ωτ/2π)|1.0

τ

ω

|X(ω)|

LPFτ γ / Ts

0 2π/τ−2π/τ

Ts

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Copyright © Dr. Mohammed Hawa Electrical Engineering Department, University of Jordan

Distortion solved by Equalizer

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Copyright © Dr. Mohammed Hawa Electrical Engineering Department, University of Jordan

Summary

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Copyright © Dr. Mohammed Hawa Electrical Engineering Department, University of Jordan

After Sampling!

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Copyright © Dr. Mohammed Hawa Electrical Engineering Department, University of Jordan

Quantization (L = 5)

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Copyright © Dr. Mohammed Hawa Electrical Engineering Department, University of Jordan

Quantization (L = 10)

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Copyright © Dr. Mohammed Hawa Electrical Engineering Department, University of Jordan

Quantization (Approx.)

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Copyright © Dr. Mohammed Hawa Electrical Engineering Department, University of Jordan

Quantization Error

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Copyright © Dr. Mohammed Hawa Electrical Engineering Department, University of Jordan

Quantization Error

���� = �2����������2�������� =

�2��������� ��23�2 �

= 3�2�2�����������2

= 3�2��2

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Copyright © Dr. Mohammed Hawa Electrical Engineering Department, University of Jordan

Uniform Quantization

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Copyright © Dr. Mohammed Hawa Electrical Engineering Department, University of Jordan

Compander

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Copyright © Dr. Mohammed Hawa Electrical Engineering Department, University of Jordan

Effect is Expansion/Compression

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Copyright © Dr. Mohammed Hawa Electrical Engineering Department, University of Jordan

Compading Improvement (dB)

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Copyright © Dr. Mohammed Hawa Electrical Engineering Department, University of Jordan

Mapping

T0 = Ts / log2 (L)

f0 [bps] = fs [samples/s] × log2 (L) [bits/sample]

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Copyright © Dr. Mohammed Hawa Electrical Engineering Department, University of Jordan

Source Coding

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Copyright © Dr. Mohammed Hawa Electrical Engineering Department, University of Jordan

Audio Compression

• Landline telephony (PCM, no compression)– 64 kbps

• Linear Prediction Coding (LPC) vocoder– e.g., RPE-LTP (regular pulse excitation, long-term

prediction) LPC codec (GSM cellular phones, Full Rate): 13 kbps.

• Code-Excited linear Prediction (CELP) vocoder– Algebraic CELP(ACELP) (GSM cellular phones,

Enhanced Full Rate): 12.2 kbps

– FS-1016 (United States Department of Defense): 4.8 kbps

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Copyright © Dr. Mohammed Hawa Electrical Engineering Department, University of Jordan

Video Compression

• ITU-T: International Telecommunication Union - Telecommunication • MPEG: Moving Picture Experts Group

• MPEG-2: DVD, Digital TV Broadcasting.

• H.261: Videophone.

• H.263: Low bit rate Video Conferencing.

• H.264: Almost everything.

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MPEG

MPEG-1

MPEG-2

ITU-T

H.261

H.263

H.264/MPEG-4 Part 10 or

AVC (Advanced Video Coding)

H.265/MPEG-H Part 2 or

HEVC (High Efficiency Video Coding)

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Copyright © Dr. Mohammed Hawa Electrical Engineering Department, University of Jordan

Channel Coding

� = ��ℎ × log2�1 + ���

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