Comments and exercises on BPSK
Baseband communication is the simplest form of analog communication.
Introduces a method for representing bits with an analog signal known as binary phase shift keying.
Repetition codes, a special case of block channel coding, proves not to improve coding efficiency.
Shannon derived the maximum datarate of a source coder's output that can be transmitted through a bandlimited additive white noise channel with no error.
Both wireline and wireless channels share characteristics, allowing us to use a common model for how the channel affects transmitted signals.
A brief introduction to the two types of communication channels.
Communication networks have changed a lot over the years, but many aspects of them are still the same.
Satellites may be used to transmit information over large distances.
Digital communication systems offer much more efficiency, better performance, and much greater flexibility.
The Huffman source coding algorithm is provably maximally efficient.
A very brief introduction to digital communication and its importance in error-free transmission of information.
Bit streams through digital communications receivers.
Several properties of digital communication systems make them preferable to analog systems.
Several properties of digital communication systems make them preferable to analog systems.
Several factors of error in digital receivers are discussed.
Shannon showed the power of probabilistic models for symbolic-valued signals. The dey quantity that characterizes such a signal is the entropy of its alphabet.
Channel decoding must be coordinated with coding for accurate results.
A description of some strategies for minimizing there errors in a transmitted bit-stream.
So-called linear codes create error-correction bits by combining the data bits linearly. Topics discussed include generator matrices and the Hamming distance.
