Power aware transformation of bandlimited signals
Prakash Krishnamoorthy, Ramesh Tekumalla · 2013
This work presents an universal, lossless, linear, low complexity data transformation algorithm based on the sampling theorem that significantly reduces the complexity of operations in data processing systems. While many lossy and lossless compression methods are in existence, the data compressed by such methods cannot be directly processed by signal processing systems without decompression due to the non linear nature of most data compression algorithms. If there were linear compression method in existence, then compressed data could directly be passed to digital signal processing systems. Doing so significantly reduces the complexity of signal processing operations including additional benefits in the form of reduced power dissipation, improved signal integrity and better bandwidth utilization. This approach can be used in applications for the storage and retrieval of data from storage mediums such as read channels, system and processor interconnects including memory buses. System level simulations show that this method not only reduces the amount of data, but also improves performance due to improved signal integrity and significant reduction in power dissipation (upto 15% reduction) associated with the processing of multimedia content.