Discrete Reconstruction Alphabets in Discrete Memoryless Source Rate-Distortion Problems
Autor: | Mustafa Sungkar, Toby Berger |
---|---|
Rok vydání: | 2018 |
Předmět: |
Generalized inverse
Gaussian 020206 networking & telecommunications 02 engineering and technology Measure (mathematics) symbols.namesake Distribution (mathematics) Square error Distortion 0202 electrical engineering electronic engineering information engineering symbols Rate distortion Algorithm Random variable Mathematics |
Zdroj: | ISIT |
Popis: | We show two discrete memoryless source (DMS) rate-distortion (R-D) problems with continuous alphabets where the optimal reconstruction distributions are discrete. The first problem is a Gaussian distributed source with square error distortion but a peak-limited reconstruction alphabet. The second is a source distribution related to the generalized inverse Gaussian (GIG) distribution with a certain distortion measure. |
Databáze: | OpenAIRE |
Externí odkaz: |