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It is expected that trajectory following accuracy can substantially improve if more advanced compensation methods for encoder quadrature errors are implemented.
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The authors of [9, 10] develop methods for blind recovery of convolutional encoder in turbo code configuration.
Also, it has been observed that most of the existing methods for video quality assessment are limited to one encoder implementation or rather one particular setting of an encoder.
Particularly, we present a design methodology for encoder and decoder circuits.
Among existing methods for re-quantization[1, 2], the cascaded pixel-domain transcoding (CPDT) that cascades a decoder and a simplified encoder is computationally effective and has no drift problem.
Heydemann's method for the compensation of encoder quadrature detection errors is implemented.
Existing methods require an encoder to be calibrated on specially designed angle comparators, but the process of transferring the encoder from the comparator to the encoder's application axis typically introduces arc-sec level error.
Comparing several direct and indirect measuring methods, a dynamic long-range linear displacement precision measuring method for winding system based on magnetic rotary encoder is presented.
In [4], we developed a method for blind recovery of a rate k/n convolutional encoder in turbocode configuration.
In [8], an iterative method for the blind recognition of a rate (n-1)/n convolutional encoder was proposed in a noisy environment.
We present our novel self-calibration method for the fast and precise in-situ calibration of angle encoders without recourse to external reference standards which relies on a suitable geometric arrangement of multiple heads which read out the radial grating of the encoder.
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