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Selected Aspects of Discrete-Time Filtering Techniques as Applied to Sensor Control and Signal Processing Problems

机译：应用于传感器控制和信号处理问题的离散时间滤波技术的选定方面

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The general structure of the discrete-time linear filter and basic rules for paralleling and cascading multiple filters are defined. Rules for feedback and feedforward within complexes of interconnected filters are established. Discrete-time initial and final value theorems are defined, and applications for the analysis of control systems are discussed. Basic filter synthesis techniques are defined. Implications of sampling rate conversions (decimation and interpolation) in discrete-time control systems are analyzed, and applications to sensor systems are considered. The solution of sensor signal processing problems through the application of discrete-time finite impulse response (FIR) filters is treated. Complex signal representations are defined, together with the generalized complex filter, and basic properties are discussed. The feasibility of parallel-shifting the characteristics of FIR filters along the frequency axis is analyzed. The resulting filters are shown to have close similarities to filters banks realized by windowing and subsequent discrete Fourier transform processing.

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