Memory-based hardware for resource-constraint digital signal processing systems

The current trends of advancement of memory technology indicates reasonable scope to have efficient memory-based computing systems as promising alternative to the conventional logic-only computing in order to meet the stringent constraints and growing requirements of the digital signal processing (DSP) systems in widely varying application environments. Several algorithms and architectures have been suggested in the literature to reduce the area- and time-complexities of commonly encountered computation-intensive cores of DSP functions by memory-based computing, but many more novel algorithms and architectures need to be developed to design flexible area-delay-power-efficient systems for various DSP applications.