An apparatus comprising: trainable logic configured to quantize a plurality of receiver configurations said trainable logic comprising: determination logic configured to determine a plurality of available receiver configurations and associate each receiver configuration with a context matrix; codebook logic configured to select a quantisation codebook to be used by the trainable logic for the context matrices; learning logic configured to learn from a training dataset comprising a plurality of received signal samples relevant to reconstruction of a transmitted message; said learning logic being configured to: generate from the training dataset: a set of superposed parameters and context matrices corresponding to the plurality of available receiver configurations and a set of contextual parameters for each context, the contextual parameters being generatable from the superposed parameters by combination with the context matrix associated with each receiver configuration; quantize the context matrices according to the quantisation codebook; and repeat the generation of superposed parameters, context matrices and quantization of context matrices until a stop criterion relating to a performance metric associated with the reconstruction of the transmitted message is met; and selection logic configured to select a receiver configuration based upon the generated superposed parameters, context matrices and quantization of context matrices meeting the stop criterion and an input wireless communication signal. determination logic configured to determine a plurality of available receiver configurations and associate each receiver configuration with a context matrix; codebook logic configured to select a quantisation codebook to be used by the trainable logic for the context matrices; learning logic configured to learn from a training dataset comprising a plurality of received signal samples relevant to reconstruction of a transmitted message; said learning logic being configured to: generate from the training dataset: a set of superposed parameters and context matrices corresponding to the plurality of available receiver configurations and a set of contextual parameters for each context, the contextual parameters being generatable from the superposed parameters by combination with the context matrix associated with each receiver configuration; quantize the context matrices according to the quantisation codebook; and repeat the generation of superposed parameters, context matrices and quantization of context matrices until a stop criterion relating to a performance metric associated with the reconstruction of the transmitted message is met; and selection logic configured to select a receiver configuration based upon the generated superposed parameters, context matrices and quantization of context matrices meeting the stop criterion and an input wireless communication signal. generate from the training dataset: a set of superposed parameters and context matrices corresponding to the plurality of available receiver configurations and a set of contextual parameters for each context, the contextual parameters being generatable from the superposed parameters by combination with the context matrix associated with each receiver configuration; quantize the context matrices according to the quantisation codebook; and repeat the generation of superposed parameters, context matrices and quantization of context matrices until a stop criterion relating to a performance metric associated with the reconstruction of the transmitted message is met; and selection logic configured to select a receiver configuration based upon the generated superposed parameters, context matrices and quantization of context matrices meeting the stop criterion and an input wireless communication signal.