Accession Number:

ADA030354

Title:

A Simulation Study of Tsypkin's Optimum, Adaptive Quantizer for Unknown Data Processes.

Descriptive Note:

Interim rept.,

Corporate Author:

AEROSPACE CORP EL SEGUNDO CALIF ENGINEERING SCIENCE OPERATIONS

Personal Author(s):

• Nirenberg,Lloyd M.

Report Date:

1976-09-23

Pagination or Media Count:

15.0

Abstract:

Tsypkins algorithm for optimum, adaptive, recursive quantization of data processes with a priori unknown statistics was simulated. Gaussian and random sinewave data types were used. It is shown in this paper how to choose the initial conditions and gain factors, which Tsypkin left incompletely specified in his English reports, so that the algorithm produces quantizers close to the known optimum quantizers. The cases of 2, 4, and 8 levels are demonstrated. To the authors knowledge, this is the first report on an application of the Tsypkin algorithm in the literature. Further study of Tsypkins algorithm is recommended. Author

Descriptors:

• *ALGORITHMS
• *COMPUTERIZED SIMULATION
• *DATA PROCESSING
• *QUANTIZATION
• SIGNAL PROCESSING
• SIMULATION
• STOCHASTIC PROCESSES
• RANDOM VARIABLES
• STATISTICS
• ADAPTIVE SYSTEMS
• LEARNING

Subject Categories:

• Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE