RIMI: Study of Algorithm Development and VLSI Implementation for Data Compression

提出的研究将通过使用信号的最小二乘自回归移动平均（ARMA）建模来开发一种革命性和实用的数据压缩技术。由于计算复杂性和数值不稳定性，最小二乘ARMA模型在数据压缩中应用较少。在数据压缩中，模拟流或非常高速率的离散数据流被转换成相对低速率的数据流，以便在数字通信链路上传输或存储在数字存储器中。在开发了数据压缩技术之后，将针对所提出的数据压缩设计和测试VLSI编码器。并行处理将用于快速计算。然后，利用计算机辅助设计（CAD）工具对新型VLSI编码器芯片的功能和布局进行设计、仿真和验证。* * *

9353204 Park The proposed research will develop a revolutionary and practical data compression technique by using least squares Autoregressive Moving Average (ARMA) modeling of a signal. Because of computational complexity and numerical instability, least squares ARMA modeling has been applied infrequently for data compression. In data compression, a stream of analog or very high rate discrete data is converted into a stream of relatively low rate data for transmission over a digital communication link or for storage in digital memory. After developing the data compression technique, a VLSI encoder will be designed and tested for the proposed data compression. Parallel processing will be used for fast computation. Then, the functional and layout levels of the new VLSI encoder chip will be designed, simulated, and verified by using computer aided design (CAD) tool. ***