Discrete-time signals: Fundamentals and Applications
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Covers the theory of numerical methods for frequency estimation on deterministic signals, including Fourier series and transform, Discrete Fourier transform, and the Sampling theorem.
Explores front-end circuits for electrochemical biosensors, including current encoding, capacitor sizing, metabolite monitoring, and temperature compensation.
Introduces the Time-Frequency Discretization for processing digital signals and covers the quality of discrete approximation and main properties of TFD.
