Low complexity, low latency resampling of asynchronously sampled signals
Patki Abhijit, Ganesan Thiagarajan · 2016
In Signal processing, activity driven data acquisition is of interest as it offers power savings and data compression when dealing with sparse real world signals. However, such schemes naturally result in asynchronous samples which cannot be handled by traditional signal processing. Hence, there is a need for efficient resampling schemes that convert the asynchronous samples to a synchronous stream. This work proposes two novel low latency non-iterative resampling schemes that allow for pipelined hardware and real-time software implementations. The first scheme caters to low complexity applications and is a modification to the Akima algorithm [1]. The second scheme addresses high performance applications and is based on windowed sinc interpolation. Simulation results are presented to demonstrate the performance. Complexity comparison with existing methods is also provided.