Pipeline DCT/IDCT Architecture With Scalable Process Elements
Solution Overview
Problem
Existing discrete cosine transform (DCT) and inverse discrete cosine transform (IDCT) systems lack flexibility in adjusting the number of process elements according to performance demands, limiting their application in various compression standards like JPEG, MPEG, and HDTV.
Innovation Solution
The method and system allow for DCT/IDCT procedures to be accomplished in four computing phases using one or multiple sets of process modules, enabling adjustment of the number of process elements and parallel computing to meet performance demands, with each computing phase designed using one or multiple process elements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If fixed number of process elements are used in DCT/IDCT systems, then system complexity is reduced, but adaptability to different performance demands deteriorates
Solution Approach 1:
The patent implements a dynamic configuration where the number of process elements in each computing phase can be adjusted based on performance requirements. The system allows selective activation of process elements across the four computing phases, enabling the DCT/IDCT processor to adapt its computational capacity dynamically rather than being fixed, thus resolving the contradiction between adaptability and complexity.
Solution Approach 2:
The DCT/IDCT computation is divided into four distinct computing phases, each phase containing adjustable numbers of process elements. This segmentation allows independent configuration of each phase's computational resources, providing flexibility to optimize performance while maintaining manageable system complexity through modular design.
2Productivity
If multiple process elements are used to meet performance demands, then computation efficiency is improved, but device complexity increases
Solution Approach 1:
The system enables dynamic adjustment of the number of process elements activated in each computing phase based on the required computation efficiency. When high performance is needed, more process elements can be activated; when lower performance suffices, fewer elements are used, thus improving productivity without permanently increasing device complexity.
Solution Approach 2:
The process elements are designed with universal functionality to perform various computational operations across different computing phases. Each process element can be configured to execute different functions depending on which computing phase it operates in, allowing the same hardware resources to serve multiple purposes and reduce overall system complexity while maintaining high computation efficiency.
Data Source
AI summary
A method and system for applying pipeline architecture to discrete cosine transform and inverse discrete cosine transform. Each of the discrete cosine transform and inverse cosine transform are divided into four phases computed by process elements. Each phase can be designed by adjusting the amount of process elements according the demand of performance.