Mark G. Kokes

  • Citations Per Year
Learn More
Many digital signals possess statistical properties that can be exploited to increase the amount of usable information either stored with them in a fixed file size or transmitted with them over a fixed capacity channel. In this paper, we develop a new technique for embedding digital information into such signals. Using the method of types as a tool to(More)
In this paper, we expand on a new technique for embedding digital information into G.711 encoded speech signals. Using the method of types as a tool to analyze the statistical nature of a digital speech signal, we demonstrate that our embedding scheme is capable of embedding up to 1.6 Kbps of additional information at an average embedded error rate of 10.(More)
At present, the most successful methods for lossy source compression are sample-function adaptive coders. Prominent examples of these techniques are the still image compression methods utilizing wavelet expansions and tree structures, such as the zero-tree method or the SPIHT algorithm, and variable rate speech coders that allocate bits to parameters within(More)
  • 1