Pipelined cognitive signal processor

A method of denoising an electromagnetic signal by a cognitive signal processor system including an antenna communicatively coupled to a reservoir computer and to a weight adaptation component, the reservoir computer, including a computer interpretable neural network, where an output of the reservoir computer is communicatively coupled to an input of the reservoir computer and to a delay embedding component, the delay embedding component including an input communicatively coupled to an output of the reservoir computer and an output communicatively coupled to an input of a weight adaptation component and to an input of an output layer computer, the weight adaptation component, including an output communicatively coupled to an input of the weight adaptation component and to an input of an output layer computer, and the output layer computer, including an input communicatively coupled to an output of the delay embedding component, an input communicatively coupled to an output of the weight adaptation component, and an output communicatively coupled to an input to the weight adaptation component, the method including:

• passively acquiring an electromagnetic signal by the antenna;
• producing a plurality of reservoir state values by the reservoir computer based on the electromagnetic signal;
• collecting the plurality of reservoir state values by the delay embedding component into a historical record;
• determining a plurality of reservoir state value weights by the weight adaptation component based at least in part of the historical record;
• scaling, by the plurality of reservoir state value weights, to produce a plurality of output values, the plurality of reservoir state values by the output layer computer;
• and
• outputting the plurality of output values;
• where the scaling occurs over a plurality of clock cycles of a clock for the system.