Communication System Fundamentals

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Communication System Fundamentals

Communication consists of transferring information in various forms (text, audio, video) from one place to the other. This process needs at least three elements: an information source, a medium carrying information to a remote point, and a sink collecting the transmitted information. We usually imagine that people are directly involved, at least as sources and addressees of the information, but nowadays it is not always the case: the equipment itself exchanges information e.g. remote control data. In the simplest case, a messenger may transmit the information but usually, some technical means are used for it. Therefore, a communication system Fundamentals may be defined as a set of facilities making possible communication by means of signals.

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What Will You Learn?

  • Learn Communication System Fundamentals
  • Learn Fourier Transform
  • Learn Z Transform
  • Learn Orthogonal Frequency Division Multiplexing (OFDM)
  • Learn Coding in Digital Communications

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Course Curriculum

Communication System Fundamentals

  • How are Data Rate and Bandwidth Related?
    00:00
  • What is Gaussian Noise?
    05:55
  • What is White Gaussian Noise (WGN)?
    06:30
  • What is Intersymbol Interference ISI?
    00:00
  • Amplitude Modulation AM Radio Signal Transmission Explained
    00:00
  • Pulse Shaping and Square Root Raised Cosine
    00:00
  • What is an Eye Diagram?
    00:00
  • What is Beamforming?
    08:53
  • What are SNR and Eb/No?
    00:00
  • Mobile Standards Evolution: FDMA, TDMA, CDMA, OFDMA
    00:00
  • The Difference Between Multiplexing and Multiple Access
    00:00
  • What is a Matched Filter?
    00:00
  • How are Correlation and Convolution Related in Digital Communications?
    00:00
  • How are Bit Error Rate (BER) and Symbol Error Rate (SER) Related?
    00:00
  • How are Throughput, Bandwidth, and Data Rate Related?
    00:00
  • How does Antenna Spacing affect Beamforming?
    00:00
  • What is Rayleigh Fading?
    00:00
  • What is Rician Fading?
    00:00
  • What is Nakagami Fading?
    00:00
  • What are Fast Fading and Slow Fading?
    00:00
  • Autocorrelation and Power Spectral Density (PSD) Examples in Digital Communications
    00:00
  • How are BER and SNR Related for PSK and QAM?
    00:00

Fourier Transform

  • Fourier Transform Equation Explained
    00:00
  • Fourier Transform of Cos
    00:00
  • Fourier Transform of Cos with Phase Shift
    00:00
  • What is Negative Frequency?
    00:00
  • Fourier Transform of a Sum of Delta Functions
    00:00
  • Fourier Transform of Discrete Time Signals are not Discrete
    00:00
  • Time and Frequency Scaling
    00:00
  • System Example using Fourier Transforms with Cosine Input
    00:00
  • Continuous Time and Discrete Time Fourier Transforms
    00:00

Z Transform

  • Z Transform
    00:00
  • Z Transform Example
    00:00
  • Z Transform Region of Convergence Explained
    00:00

Orthogonal Frequency Division Multiplexing (OFDM)

  • Orthogonal Basis Functions in the Fourier Transform
    00:00
  • OFDM Waveforms
    00:00
  • OFDM and the DFT
    00:00
  • What is a Cyclic Prefix in OFDM?
    00:00
  • How are Throughput, Bandwidth, and Data Rate Related?
    00:00

Coding in Digital Communications

  • What is a Convolutional Code?
    00:00
  • Decoding Convolutional Codes: The Viterbi Algorithm Explained
    00:00
  • What is Trellis Coding?
    00:00

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