Historic Voice: Digital Connectivity Problems with analogue connections Analog-to-Digital Signal Conversion

1. CCNA Voice 640-461
Part 3 -Historic Voice: Digital Connectivity- Part 1
www.amir-jafari.com
amirjafari17@gmail.com

2. Historic Voice: Digital Connectivity
Problems with analogue connectivity
Connecting analogue to digital signal

3. Problems with analogue connections
1- Distance limitation
-An analog electrical signal experiences degradation (signal fading) over
long distances. To increase the distance the analog signal could travel, the
phone company had to install repeaters to regenerate the signal as it
became weak.
-Unfortunately, as the analog signal was regenerated, the repeater device
was unable to differentiate between the voice traveling over the wire and
line noise. Each time the repeater regenerated the voice, it also amplified
the line noise. Thus, the more times a phone company regenerated a
signal, the more distorted and difficult to understand the signal became.

4. Problems with analogue connections
2- Wiring requirements
The second difficulty encountered with analog connections was the sheer
number of wires the phone company had to run to support a large geographical
area or a business with a large number of phones.
-Because each phone required two wires, the bundles of wire became massive
and difficult to maintain
-A solution to send multiple calls over a single wire was needed. A digital
connection is that solution.

5. Analog-to-Digital Signal Conversion
The steps to convert an analog signal to a digital signal
Step Procedure
1 Sample the analog signal regularly.
2 Quantize the sample.
3 Encode the value into an 8-bit digital form.
4 (Optional) Compress the samples to reduce bandwidth.

6. Analog-to-Digital Signal Conversion
Basic Concepts:
Frequency: The number of complete cycles of sinusoidal variation per unit time. Unit of
measurement of frequency used to be cycles per second and now the unit of measure is
hertz (Hz).
Amplitude Is the objective measurement of the degree of change (positive or negative)
in atmospheric pressure caused by sound wave The amplitude of a sound wave is the
maximum amount by which the instantaneous sound pressure differs from the ambient
pressure.
Wavelength :It is defined as the distance between successive peaks or troughs of a
sinusoidal wave which is measured in meters (m).
Frequency is the number of times per second that
a wave cycle (one peak and one trough) repeats
at a given amplitude.
A is the amplitude and is the wavelength.

7. Analog-to-Digital Signal Conversion
Basic Concepts:
Modulation process:
- The purpose of a communication system is to deliver a message signal from
an information source in recognizable form to a user destination.
- To do this, the transmitter modifies the message signal into a form suitable for
transmission over the channel.
-This modification is achieved by means of a process known as modulation,
which involves varying some parameter of a carrier wave in accordance with
the message signal.
- The receiver re-creates the original message signal from a degraded version
of the transmitted signal after propagation through the channel. This re-creation
is accomplished by using a process known as demodulation which the reverse
of the modulation process used in the transmitter.

8. Analog-to-Digital Signal Conversion
1- Sampling and the Nyquist Theorem
Sampling process:
- Through use of the sampling process, an analogue signal is converted into a
corresponding sequence of samples that are usually spaced uniformly in
time.
- It is necessary that we choose the sampling rate properly, so that the
sequence of the samples uniquely defines the original analogue signal.
- Those samples are then digitized (that is, represented as a series of 1s and
0s).
-Then, at the other end of the voice conversation, this digitized signal can be
converted back into an analog wave, which the listener can understand.

9. Analog-to-Digital Signal Conversion
-It is important to take appropriate samples per second which allow
equipment to accurately reproduce the original signal, without consuming
more bandwidth than necessary.
-Digital signal technology is based on the premise stated in the Nyquist
Theorem:
When a signal is instantaneously sampled at the transmitter in regular intervals
and has a rate of at least twice the highest channel frequency, then the
samples will contain sufficient information to allow an accurate
reconstruction of the signal at the receiver.

10. Analog-to-Digital Signal Conversion
- While the human ear can sense sounds from 20 to 20,000 Hz
-Speech encompasses sounds from about 200 to 9000 Hz,
- The telephone channel was designed to operate at about 300 to 3400 Hz. This
economical range carries enough fidelity to allow callers to identify the party at the far
end and sense their mood.
-Nyquist decided to extend the digitization to 4000 Hz, to capture higher-frequency
sounds that the telephone channel may deliver. Therefore, the highest frequency for
voice is 4000 Hz, or 8000 samples per second; that is, one sample every 125
microseconds.

11. Analog-to-Digital Signal Conversion
- The telephone channel frequency range (300–3,400 Hz) gives you enough sound
quality to identify the remote caller and sense their mood.
- The telephone channel frequency range does not send the full spectrum of
human voice inflection and lowers the actual quality of the audio.
- For example, if you’ve ever listened to talk radio, you can always tell the difference
in quality between the radio host and the telephone caller.

12. Analog-to-Digital Signal Conversion
2- Quantization
- The result of the multiple sampling is a pulse amplitude modulation
(PAM) wave.
- Quantization: Match the PAM signal to a segmented scale. This scale
measures the amplitude (height) of the PAM signal and assigns an integer
number to define that amplitude which can then be transmitted in binary
form.

13. Analog-to-Digital Signal Conversion
The x-axis is time and the y-axis is the voltage value (PAM). The voltage
range is divided into 16 segments (0 to 7 positive, and 0 to 7 negative). Each
segment is divided into steps. Starting with segment 0, each segment has
fewer steps than the previous segment.

14. Analog-to-Digital Signal Conversion
3- Encode the value into an 8-bit digital form
-At this point, the spoken voice has been converted into a series of 1 and 0s. This
process is called pulse code modulation(PCM).
-There are two PCM methods(G.711 codec): a-law (use in USA, Japan, and
Canada) and μ-law (use in countries outside of North America), they use two
different ways of encoding
- An 8-bit (that is, 1-byte) value represents each sample.
- The first bit of the byte determines the polarity
(that is, positive or negative) of the sample
-The byte's next 3 bits identify the segment
-The final 4 bits of the byte specify the step

15. Analog-to-Digital Signal Conversion
- For communication between a μ-law country and an a-law country, the μ-law
country must change its signaling to accommodate the a-law country
- According to Mr. Nyquist, we need to take 8000 samples per second
- Each sample uses 8 bits.
- 8000 samples per second * 8 bits per sample = 64,000 bits per second
- These calculations show us that we can transmit digitized voice using 64
kbps of bandwidth

16. Analog-to-Digital Signal Conversion
4- Compress the samples to reduce bandwidth
Once our analog waveforms have been digitized, we might want to save WAN
bandwidth by compressing these digitized waveforms by encoding them.
Early on in the voice digitization years, the powers that be created a measurement
system known as a Mean Opinion Score (MOS) to rate the quality of the various
voice codecs on a scale of 1-5.
The following three common voice compression techniques are standardized:
-G.711: Doesn't actually compress the analog waveform. Rather, PCM samples and
performs quantization without any compression.
- G.729: The process G.729 uses to compress this audio is to send a sound sample
once and simply tell the remote device to continue playing that sound for a certain time
interval. This is often described as “building a codebook” of the human voice traveling
between the two endpoints Using this process, G.729 is able to reduce bandwidth down
to 8 kbps for each call; a fairly massive reduction in bandwidth.

17. Analog-to-Digital Signal Conversion
4- Compress the samples to reduce bandwidth
Audio codec Bandwidth and MOS Values
- Cisco designed all its IP phones with the ability to code in either G.711 or
G.729.
- G.711 is the “common ground” between all VoIP devices. For example, if a
Cisco IP phone is attempting to communicate with an Avaya IP phone, they
may support different compressed codecs, but can at least agree on G.711
when communicating.

18. Analog-to-Digital Signal Conversion
- After the receiving terminal at the far end receives the digital PCM signal, it
must convert the PCM signal back into an analog signal. The process of
converting digital signals back into analog signals includes the following two
processes:
• Decoding The received 8-bit word is decoded to recover the number that
defines the amplitude of that sample. This information is used to rebuild a
PAM signal of the original amplitude.
• Filtering: The PAM signal is passed through a filter to reconstruct the
original analog wave from its digitally coded counterpart.
- Network devices can easily transmit a numeric value any distance a cable
can run without any degradation or line noise, which solves the signal
degradation issues faced by analog phone connections

19. Analog-to-Digital Signal Conversion

20. References
Cioara, J., Valentine, M. (2012). CCNA Voice 640-461 Official Cert
Guide, Cisco Press, USA
Davidson, J., Peters, J., Bhatia, M., Kalidindi, S., Mukherjee, S. (2006). Voice
over IP Fundamentals, Second Edition, Cisco Press, USA
Froehlich, A. (2010). CCNA Voice Study Guide, Wiley
Publishing, Inc., Indianapolis, Indiana
Kaza, R., Asadullah, S. (2005). Cisco IP Telephony:
Planning, Design, Implementation, Operation, and Optimization, Cisco
Press, USA
Wallace, K. (2005). Voice over IP First-Step, Cisco Press, USA
Wallace, K. (2006). Authorized Self-Study Guide Cisco Voice over IP
(CVoice), Cisco Press, USA