Repetition codes, a special case of block channel coding, proves not to improve coding efficiency.
A description of channel coding, in particular linear block codes.
Communication Systems Projects with LabVIEW features ten project activities in digital communication systems based on the LabVIEW graphical dataflow programming platform. Each project includes introductory material in the form of text and narrated screencast videos, specifications for low-level subVI building blocks, and step-by-step instructions to assemble application VIs to implement a variety of simulations, visualizations, and working transmitters and receivers. This textbook organizes the projects into related topics, including: (1) Simulation and Visualization of Fundamental Concepts, (2) Channel Coding and Error Control, (3) FSK Demodulation (Caller ID), and (4) Bandpass Communications over the Speaker-Air-Microphone Channel.
Huffman variable length source coder is first described then systematic channel coding block coder design is introduced for forward error correction coding (FECC). Nearest neighbour decoding and the Hamming bound is used to define the performance of these block coders. Finally the nonsystematic convolutional coder, Viterbi decoder and turbo recursive coder designs are introduced with examples of the operation of these coders.
A description of channel coding using convolutional codes.
Build a LabVIEW subVI to implement the error detection and correction mechanism for the (n,k) Hamming linear block code channel decoder.
So-called linear codes create error-correction bits by combining the data bits linearly. Topics discussed include generator matrices and the Hamming distance.
Build a LabVIEW subVI to create the generator matrix (G matrix) for the (n,k) Hamming linear block code.
Build a LabVIEW subVI to generate the (n,k) parameters for a Hamming linear block code given the exponent q. Also calculate the coding rate.
An overview of information theory, beginning with a quantifiable definition of information using entropy and leading to ideas in reliable transmission of information using source coding and channel coding.
Build a LabVIEW subVI to multiply two matrices A and B under modulo-2 arithmetic.
Build a LabVIEW subVI to create the parity check matrix (H matrix) for the (n,k) Hamming linear block code.
Explains the repetition code for error correction.
Build a LabVIEW subVI to create the syndrome table for the (n,k) Hamming linear block code channel decoder.
