1.1 Fixed-Point Arithmetic and Algorithms
1.2 Quantization and Data Conversion
1.3 Coding and Information Theory
Theory Tutorial” An elementary introduction to coding
theory. Introduces Shannon’s Noisy Coding Theorem, discrete
memoryless channels, linear codes, block codes, Galois Fields,
coding gain. Includes uncoded and coded simulations to see the
advantage of coding.
- “Derivation of the Shannon Efficiency Limit” A derivation of the well-known -1.6 dB limit in efficiency predicted by Shannon’s capacity formula.
Nordstrom-Robinson Error Correction Decoder” Describes a
hardware (FPGA) implementation of a code used in communication
systems to reduce probability of transmission errors.
1.4 Digital Communications
1.5 Analog Communications Using DSP
1.6 Perceptual Coding
1.7 Digital Signal Processing
“DC Blocker Algorithms”. March 2008 article in
IEEE’s Signal Processing Magazine, coauthored by myself and Rick Lyons.
2 Web Links on DSP and Communications