BPSK signal set
(Complete Item Description)
- Abstract:
Comments and exercises on BPSK
- Subject:
- Science and Technology
- Grade Level:
- Post-secondary
- Collection:
- Connexions
Comments and exercises on BPSK
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.
Subject covers the analysis, design, implementation, and testing of various forms of digital communication based on group collaboration. Students are encouraged to think about the Web and other new digital interactive media not just in terms of technology but also broader issues such as language (verbal and visual), design, information architecture, communication and community. Students work in small groups on a semester-long project of their choice. Various written and oral presentations document project development.
The first portion of the class will cover topics in analog communication. Beginning with basic Fourier transform properties, techniques for analog modulation and demodulation will be developed. Insights to these problems will be uncovered along the way. The rest of the course will be devoted digital communication.
Digital communication systems offer much more efficiency, better performance, and much greater flexibility.
The Huffman source coding algorithm is provably maximally efficient.
An introduction to the components and structure of a digital channel.
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.
No matter how large the SNR, no other receiver can provide a smaller probability of error than the matched filter receiver.
Frequency Shift Keying uses the bit to affect the frequency of a carrier sinusoid.