telecommunications switching systems 9

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    Chapter 2

    Lecture 9

    Advantages of Digital Voice Networks Ease of multiplexing

    Ease of signaling

    Use of modern technology

    Integration of transmission and switching

    Signal regeneration

    Performance Monitorability

    Accommodation of other services

    Operability atlow signal-to-noise/Interferenceratios

    Ease of encryption

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    Digital Signal Processing

    Operation on a signal to enhance ortransform its characteristics

    Can be applied to both analog and digitalwaveforms

    Common Examples: Amplification,equalization, modulation and filtering aresome signal processing functions.

    DSP

    Use of digital logic and circuits toimplement signal processing functions ondigitized signal waveforms.

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    Some of the other applications of DSP are: audio signal processing,

    audio compression, speech processing, speech recognition, digital image processing, video compression, image manipulation, computer-generated animations in movies, digital communications, RADAR, SONAR, weather forecasting, seismic data processing, analysis and control of industrial processes, medical imaging such as CAT scans and MRI.

    DSP Features

    Reproducibility

    Programmability

    Time Sharing

    Automatic Test

    Versatility

    Refer Table 2.2, Pg 83, Text Book

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    Reproducibility

    The immunity of digital circuits to smallimperfections and parasitic elementsimplies that the circuits can be producedwith consistent operational characteristicswithout fine adjustments or agingtolerances.

    Programmability

    A single basic structure can be used for avariety of signal types and applications bymerely changing an algorithmic orparametric specification in a digitalmemory.

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    Time Sharing

    A single digital signal processing circuitcan be used for multiple signals by storingtemporary results of each process inrandom-access memory and processingeach signal in a cyclic (time-divided)fashion.

    Automatic Test

    Since the inputs and outputs of a digitalsignal processing circuit are digital data,tests can be performed routinely bycomparing test responses to data patternsstored in memory.

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    Versatility

    Because the decision-making capabilitiesof digital logic, digital signal processingcan perform many functions that areimpossible or impractical with analogimplementations.

    DSP Applications

    Echo Cancellers

    Tone Receivers

    High Speed Modems

    Low-Bit-Rate Voice Encoding

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    Disadvantages of Digital Voice Networks

    Increased Bandwidth

    Need for time synchronization

    Topologically restricted multiplexing

    Need for conference/extension bridges

    Incompatibilities with analog facilities

    Increased Bandwidth

    The bandwidth penalty imposed by voicedigitization is directly dependent on theform of transmission coding or modulationused.

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    Need for Time Synchronization

    For optimum detection, the sample clockmust be synchronized to the pulse arrivaltimes.

    As network becomes complex, syncbecomes an issue.

    In SSB FDM, carrier sync is reqd.

    Topologically Restricted Multiplexing

    Since the time of arrival of data in a timeslot is dependent on the distance of travel,Guard times must be increased as thegeographic separation betweentransmitters increases.

    Each TDM source must duplicate thesynchronization and time slot recognitionlogic needed to operate a TDM system.

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    Need for Conference/Extension Bridges

    Analog End

    Digital End

    Incompatibilities with Analog Facilities

    Additional Costs for Analog Interfaces.

    Artificial Delay inserted by digital matrix.

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    Chapter 3

    Lecture 9

    Voice Digitization

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    Digitization

    First step

    Sampling

    Nyquist Criterion or Theorem (fs> 2B)

    fs= Sampling frequency (Nyquist Rate)

    B = Bandwidth of input signal

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    PAM

    Spectrum of PAM

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    Fold-over Distortion (Aliasing)

    Example Assume fs, the sampling frequency, is 100 Hz

    and that the input signal contains the followingfrequencies: 25 Hz, 70 Hz, 160 Hz, and 510 Hz.These frequencies are shown in the followingfigure. Find aliases.

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    Answer Frequencies below the Nyquist frequency (f

    s/2 = 50 Hz)

    are sampled correctly. Frequencies above the Nyquist frequency appear as

    aliases.

    Alias F2 = |100 70| = 30 HzAlias F3 = | (2)100 160| = 40 HzAlias F4 = | (5)100 510| = 10 Hz

    End-to-end PAM system

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    Filter Specs for PCM voice coders (ITU-T Recomm.)

    PCM

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    Quantization

    3-bit vs.16-bit