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1
INFORMATION: ANALOG AND DIGITAL
David Falconer & Halim Yanikomeroglu
Dept. of Systems and Computer Engineering
Carleton University
2
Topics to be Covered
 Analog (continuous time, continuous amplitude) signals
 Analog to digital: PCM (pulse code modulation)
 Digital transmission
3
Analog Signals
Analog (continuous-time, continuous-amplitude) signals (like
speech) have a certain bandwidth. Their power spectrum (power
spectral density) describes how their average power is
distributed with respect to frequency.
Power
spectral
density
(watts/Hz)
0 1 2 3 4 5 6 7....
“High-fidelity speech
Telephone speech
(limited by filtering)
Bandwidth
4
Digital and Analog Signals
Some signals (like speech and video) are inherently analog; some
(like computer data) are inherently digital.
However both analog and digital signals can be represented and
transmitted digitally.
Advantages of digital:
» Reduced sensitivity to line noise, temp. drift, etc.
» Lower maintenance costs than analog.
» Low cost digital VLSI for switching and transmission.
» Uniformity in carrying voice, data, video, fax, etc.
» Better encryption.
5
Pulse Code Modulation (PCM)
Key points
» PCM signal is developed by three steps: sampling, quantizing and
encoding.
» Quantizing noise is reduced by using variable sized steps. It is independent
of line length.
s(t) s(n)
Sample at t=n Quantize Encode
011010001...
Filter
6
Sampling an Analog Signal
Sampling theorem: The original analog signal can be reconstructed if it is
sampled at a rate at least twice its bandwidth.
Reconstruction is by filtering samples with a low pass filter.
Sampling Samples Reconstruction
7
Standard PCM in Wired Telephony
Voice circuit bandwidth is 3400 Hz.
Sampling rate is 8 KHz (samples are 125 s apart).
Each sample is quantized to one of 256 levels.
Each quantized sample is coded into a 8-bit word.
The 8-bit words are transmitted serially (one bit at a time) over a
digital transmission channel. The bit rate is 8x8,000 = 64 Kb/s.
The bits are regenerated at digital repeaters.
The received words are decoded back to quantized samples, and
filtered to reconstruct the analog signal.
8
Quantization
Uniform Nonuniform
Input signal Input signal
Output signal Output signal
The more steps (levels) the less quantization noise. Nonuniform quantization
(e.g. -law) allows a larger dynamic range (important for speech).
9
-Law Quantization and Coding
Standardized in North America.
Based on a logarithmic non-uniform quantizer.
Range of amplitudes divided into 8 segments, each segment with
16 uniformly spaced levels. Segment i is double the width of
segment i-1.
8 bit word: 1 bit for sign, 3 bits identify segment, 4 bits identify level
within segment.
Can show for n-bit word, signal to quantization noise ratio is
approximately 6n-10 [dB]; e.g., 38 dB for n=8 bits.
Most of the rest of the world uses a related logarithmic non-
uniformity, called A-law.
10
1 2 3 4 24
1 2 3 4 5 6 7 8
S bit
24 PCM code words, each representing 1 sample
8 bits per code word
193 bits in 125 s
(1.544 Mb/s)
DS1 Format (-Law Countries)
11
Adaptive Differential PCM (ADPCM)
Allows coding with a lower bit rate (with same fidelity) for speech,
based on predicting the next sample; e.g., 8 or 16 or 32 Kb/s.
More circuits accommodated in the same transmission bandwidth.
Quant.
Predictor
Predictor
+
+ +
Coder: Decoder:
12
Regenerative Repeater
Regenerative
repeater
Regenerative
repeater
Amplifier/
equalizer
Regenerator
Timing circuit
Structure of a regenerative
repeater:
By appropriate repeater design and inter-repeater spacing, the effect of
occasional bit errors due to noise can be controlled. Received signal quality is
essentially independent of distance.
13
PCM Transmission Formats and Spectra
..... 1 0 1 1 .......

Time Frequency
0 T 2T 3T -4/T -1/ -2/T -1/T 0 1/T 2/T 1/ 4/T
0 T 2T 3T 4T -3/T -2/T -1/T 0 1/T 2/T 3/T
0 T 2T 3T 4T -4/T -2/T -1/T 0 1/T 2/T 4/T
0 T 2T 3T 4T -1/2T 1/2T
Min. bandwidth
Unipolar RZ
Unipolar NRZ
Bipolar NRZ
Bandlimited
Power spectra
14
Multilevel Transmission
1 0 1 1 0 0 0 1
0 T 2T 3T 4T
Binary:
L=2
4-level:
L=4
Bit rate =
1
T
log2 L
Bandwidth proportional to 1/T for NRZ signals
15
Bandwidth Required for Digital Transmission
 required bandwidth is approximately
(bit rate)/(log2L) for L-level transmission.
 more levels  less bandwidth, but greater sensitivity to noise.
 Examples:
» 64 Kb/s PCM requires about 64 KHz for binary transmission, 32 KHz for 4-
level transmission.
» 14.4 Kb/s modem uses a symbol rate 1/T=2400 Hz, and the equivalent of
L=32.
16
Channel Capacity
Shannon channel capacity formula:
» Highest possible transmission bit rate R, for reliable communication in a
given bandwidth W Hz, with given signal to noise ratio, SNR, is
R=Wlog2(1+SNR) bits/s
R/W = 0.332 SNR [dB] bits/s/Hz (for high SNR)
» Assumptions and qualifications:
– Gaussian distributed noise added to the signal by the channel, highly complex
modulation, coding and decoding methods.
– In typical practical situations, the above formula may be roughly modified by
dividing SNR by a factor of about 5 to 10.
17
Summary
 All information signals can be represented, switched, stored and
transmitted digitally.
 We have discussed PCM systems and their key elements:
» sampling
» quantizing
» coding
» digital transmission
 We have discussed the related concepts of:
» the telephone set
» bandwidth
» the sampling theorem
» signal to quantization noise ratio
» channel capacity.
18
More Information
R. Haughton, “The Telecommunications Mosaic”, Vol. 2, (sections II.1, II.2, II.3, II.4),
Vol. 3, (sections I.1, I.2, I.3, I.4)
E.B. Carne, “Telecommunications Primer”, Prentice-Hall, 1995, Chapters 2,3,4.
R.L. Freeman, “Telecommunications System Engineering”, (2nd ed.), Wiley, 1989.
Chapter 9.
J. Sklar, “Digital Communications”, Chapters 2 and 7

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03_04-AnalogDigital-HYanikomeroglu-12Jan2011_14Jan2011_Old1.ppt

  • 1. 1 INFORMATION: ANALOG AND DIGITAL David Falconer & Halim Yanikomeroglu Dept. of Systems and Computer Engineering Carleton University
  • 2. 2 Topics to be Covered  Analog (continuous time, continuous amplitude) signals  Analog to digital: PCM (pulse code modulation)  Digital transmission
  • 3. 3 Analog Signals Analog (continuous-time, continuous-amplitude) signals (like speech) have a certain bandwidth. Their power spectrum (power spectral density) describes how their average power is distributed with respect to frequency. Power spectral density (watts/Hz) 0 1 2 3 4 5 6 7.... “High-fidelity speech Telephone speech (limited by filtering) Bandwidth
  • 4. 4 Digital and Analog Signals Some signals (like speech and video) are inherently analog; some (like computer data) are inherently digital. However both analog and digital signals can be represented and transmitted digitally. Advantages of digital: » Reduced sensitivity to line noise, temp. drift, etc. » Lower maintenance costs than analog. » Low cost digital VLSI for switching and transmission. » Uniformity in carrying voice, data, video, fax, etc. » Better encryption.
  • 5. 5 Pulse Code Modulation (PCM) Key points » PCM signal is developed by three steps: sampling, quantizing and encoding. » Quantizing noise is reduced by using variable sized steps. It is independent of line length. s(t) s(n) Sample at t=n Quantize Encode 011010001... Filter
  • 6. 6 Sampling an Analog Signal Sampling theorem: The original analog signal can be reconstructed if it is sampled at a rate at least twice its bandwidth. Reconstruction is by filtering samples with a low pass filter. Sampling Samples Reconstruction
  • 7. 7 Standard PCM in Wired Telephony Voice circuit bandwidth is 3400 Hz. Sampling rate is 8 KHz (samples are 125 s apart). Each sample is quantized to one of 256 levels. Each quantized sample is coded into a 8-bit word. The 8-bit words are transmitted serially (one bit at a time) over a digital transmission channel. The bit rate is 8x8,000 = 64 Kb/s. The bits are regenerated at digital repeaters. The received words are decoded back to quantized samples, and filtered to reconstruct the analog signal.
  • 8. 8 Quantization Uniform Nonuniform Input signal Input signal Output signal Output signal The more steps (levels) the less quantization noise. Nonuniform quantization (e.g. -law) allows a larger dynamic range (important for speech).
  • 9. 9 -Law Quantization and Coding Standardized in North America. Based on a logarithmic non-uniform quantizer. Range of amplitudes divided into 8 segments, each segment with 16 uniformly spaced levels. Segment i is double the width of segment i-1. 8 bit word: 1 bit for sign, 3 bits identify segment, 4 bits identify level within segment. Can show for n-bit word, signal to quantization noise ratio is approximately 6n-10 [dB]; e.g., 38 dB for n=8 bits. Most of the rest of the world uses a related logarithmic non- uniformity, called A-law.
  • 10. 10 1 2 3 4 24 1 2 3 4 5 6 7 8 S bit 24 PCM code words, each representing 1 sample 8 bits per code word 193 bits in 125 s (1.544 Mb/s) DS1 Format (-Law Countries)
  • 11. 11 Adaptive Differential PCM (ADPCM) Allows coding with a lower bit rate (with same fidelity) for speech, based on predicting the next sample; e.g., 8 or 16 or 32 Kb/s. More circuits accommodated in the same transmission bandwidth. Quant. Predictor Predictor + + + Coder: Decoder:
  • 12. 12 Regenerative Repeater Regenerative repeater Regenerative repeater Amplifier/ equalizer Regenerator Timing circuit Structure of a regenerative repeater: By appropriate repeater design and inter-repeater spacing, the effect of occasional bit errors due to noise can be controlled. Received signal quality is essentially independent of distance.
  • 13. 13 PCM Transmission Formats and Spectra ..... 1 0 1 1 .......  Time Frequency 0 T 2T 3T -4/T -1/ -2/T -1/T 0 1/T 2/T 1/ 4/T 0 T 2T 3T 4T -3/T -2/T -1/T 0 1/T 2/T 3/T 0 T 2T 3T 4T -4/T -2/T -1/T 0 1/T 2/T 4/T 0 T 2T 3T 4T -1/2T 1/2T Min. bandwidth Unipolar RZ Unipolar NRZ Bipolar NRZ Bandlimited Power spectra
  • 14. 14 Multilevel Transmission 1 0 1 1 0 0 0 1 0 T 2T 3T 4T Binary: L=2 4-level: L=4 Bit rate = 1 T log2 L Bandwidth proportional to 1/T for NRZ signals
  • 15. 15 Bandwidth Required for Digital Transmission  required bandwidth is approximately (bit rate)/(log2L) for L-level transmission.  more levels  less bandwidth, but greater sensitivity to noise.  Examples: » 64 Kb/s PCM requires about 64 KHz for binary transmission, 32 KHz for 4- level transmission. » 14.4 Kb/s modem uses a symbol rate 1/T=2400 Hz, and the equivalent of L=32.
  • 16. 16 Channel Capacity Shannon channel capacity formula: » Highest possible transmission bit rate R, for reliable communication in a given bandwidth W Hz, with given signal to noise ratio, SNR, is R=Wlog2(1+SNR) bits/s R/W = 0.332 SNR [dB] bits/s/Hz (for high SNR) » Assumptions and qualifications: – Gaussian distributed noise added to the signal by the channel, highly complex modulation, coding and decoding methods. – In typical practical situations, the above formula may be roughly modified by dividing SNR by a factor of about 5 to 10.
  • 17. 17 Summary  All information signals can be represented, switched, stored and transmitted digitally.  We have discussed PCM systems and their key elements: » sampling » quantizing » coding » digital transmission  We have discussed the related concepts of: » the telephone set » bandwidth » the sampling theorem » signal to quantization noise ratio » channel capacity.
  • 18. 18 More Information R. Haughton, “The Telecommunications Mosaic”, Vol. 2, (sections II.1, II.2, II.3, II.4), Vol. 3, (sections I.1, I.2, I.3, I.4) E.B. Carne, “Telecommunications Primer”, Prentice-Hall, 1995, Chapters 2,3,4. R.L. Freeman, “Telecommunications System Engineering”, (2nd ed.), Wiley, 1989. Chapter 9. J. Sklar, “Digital Communications”, Chapters 2 and 7

Editor's Notes

  1. Note: For any x, log2(x)=(1/log10(2)) log10(x)=3.32 log10(x) e.g. for SNR=10 dB, R/W=3.45 bit/s per Hz For high SNR, R/W 0.332 X (SNR expressed in dB) e. g. for SNR=30 dB, R/W 10 bits/s per Hz.