Biologically inspired signal processing: analyses, algorithms and applications

Biologically Inspired Signal Processing: Analyses, Algorithms and Applications

“How fleeting are the wishes and efforts of man! How short is his time! And consequently how poor will his products be, compared with those accumulated by nature during whole geological periods. Can we wonder, then, that nature’s productions should be far ‘truer’ in character than man’s productions; that they should be infinitely better adapted to the most complex conditions of life, and should...

Biologically Inspired Binaural Analogue Signal Processing

The glaring performance gap between people and artificial systems when interpreting multiple sound sources has lead several researchers to investigate the advantages that may arise if artificial systems reproduce the behaviour of biological systems more closely. In particular the importance of binaural information, including interaural intensity and time differences, in biological systems has s...

Biologically Inspired Signal Processing for Chemical Sensing - Preamble

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Applications of Biologically Inspired Membranes

A Biologically Inspired Model for Signal Compression

A model of a biological sensory neuron stimulated by a noisy analog information source is considered. It is demonstrated that action-potential generation by the neuron model can be described in terms of lossy compression theory. Lossy compression is generally characterized by (i) how much distortion is introduced, on average, due to a loss of information, and (ii) the ‘rate,’ or the amount of c...