Data stored in the cloud or on mobile devices reside in physical memory systems with finite sizes. Today, huge amounts of analog data, e.g. images and videos, are first digitalized and then compression algorithms (e.g...
详细信息
Data stored in the cloud or on mobile devices reside in physical memory systems with finite sizes. Today, huge amounts of analog data, e.g. images and videos, are first digitalized and then compression algorithms (e.g. the JPEG standard) are employed to minimize the amount of physical storage required. Emerging non-volatile-memory technologies (e.g. phase change memory (PCM), resistive RAM (RRAM)) provide the possibility to store the analog information in a compressed format directly into analog memory systems. Here, we demonstrate with hardware experiments an image storage and compression scheme (joint source-channel coding) with analog-valued PCM and RRAM arrays. This scheme stores information in a distributed fashion and shows resilience to the PCM and RRAM device technology non-idealities, including defective cells, device variability, resistance drift, and relaxation.
The aim of this paper is to present a robust still-image transmission scheme and show its performance when used on a frequency flat fading channel By following a joint source-channel coding approach, it is shown that ...
详细信息
The aim of this paper is to present a robust still-image transmission scheme and show its performance when used on a frequency flat fading channel By following a joint source-channel coding approach, it is shown that image transmission with good visual quality is possible even with BER as high as 4%. Furthermore, this scheme only requires 26% redundancy for Error Control coding (ECC). The ECC part can be completed by an original PDE-based restoration algorithm to further improve the visual quality of the image.
暂无评论