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Topics list related to the lectures - Fundamentals of Telecommunications
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Introduction
to the course "Fundamentals of Telecommunications".
Evolution of the TLC network. Frequency band. Main Application and
services. Heterogeneous networks. Block Diagram
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Introduction
to periodic signals: Fourier series for real signals
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Main
applications: Heterogeneous networks. Different media. Mobile
network structure. Multiple access. Spectrum and power efficiency.
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Data
rates in mobile - block diagram of the transmission system.
Performance in the presence of disturbance. Quality for analog and
digital system.
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Examples
of Fourier series expansion: quadratic waveform and sinosoidal tone.
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Complex
exponential expression of Fourier series - comparison to the real
case
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Block
diagram of the communication system. Example of propagation
characteristics: railway tunnel, simulation and measurement
techniques. Linear circuit analysis. Transfer function. Complex
numbers. Example: the RC cell. 3-dB bandwidth. Evaluation of the
frequency response and introduction to the lab. experience.
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Fourier
series: application to the cases seen in the laboratory
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First
laboratory experience: quadratic waveform and sinusoidal tone -
comparison between theory and practice
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Signal
and Linear circuit analysis. dB definition and exercises. Summary on
Fourier series. Aperiodic signals. Energy and Fourier transform.
Various expressions. Network output for a general signal. Concept of
filter
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Linear
filter response, not distortion conditions, example of the Fourier
integraòl evaluation of a pulse. Discussion on secondary lobes and
associated periodic function.Filter design, ripple and attenuation.
Step function at the input of an ideal lowpass filter.
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Exercises
on logarithmic units and applications to the oscilloscope: ratio
between Fourier series coefficients
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Exercise
on linear filtering
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Second
laboratory experience: RC filter
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Output
of the response of an ideal lowpass filter to the step function.
Distortion discussion. Response to a pulse as a sum of two steps.
Time domain analysis: representation of a signal in the time domain.
Definition and measure of the impulsive response . Choice of the
duration value. Fourier transform of the Dirac operator. Connection
between the frequency and domain analysis.
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Summary
on frequency and time domain analysis. Impulse response of the ideal
lowpass filter. Discussion about the product bandwidth and duration
of a signal.FIR definition starting from the convolution
theorem.Sampling process: sampled signal spectrum and anti-aliasiing
conditions. Shannon theorem.
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Digital
filtering implementation via DSP and simulink
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Third
laboratory experience. A/D amd D/A conversion. Digital filtering.
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A/D
and D/A conversion. Sampling process with discussion in the time and
frequency domain. Expression of the signal as a function of the
sampled values. Quantization and Coding. Evaluation od the
quantization and signal to noise ratio as a function of number of
bits per sample.