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Posture control in upright stance was quantized by a baropodometric platform (FDM-S, Zebris, Germany) [ 27, 28].
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Suppose that random vector, x, with pdf, f, is quantized by quantizer q and the corresponding reconstructed vector is x ̂.
The DCT coefficients are quantized by appropriately choosing the quantization parameter, and the quantized values are then run-length and Huffman coded.
The measurement signal is quantized by a logarithmic quantizer.
The transmitted measurements triggered according to prespecified events are quantized by a logarithmic quantizer.
Next, each block DCT coefficients are quantized by the JPEG quantization table.
In this work, CQIs are quantized by the proposed quantizer with 1 or 2 bits.
The reduced set of LSF vectors is quantized by multistage vector quantizers, and the corresponding LT model is recalculated at the decoder from the quantized reduced set of LSFs.
The generated signals are mixed with the quantization error portion of wLPT or FD coder, and then they are quantized by the adaptive vector quantization (AVQ) tool [9].
If each transform coefficient U m, m = 1,..., M1, where U = T T X, is quantized by a high-rate scalar quantizer and the quantizer output is encoded by a SW code which uses Y as decoder side-information, then the transform T which asymptotically minimizes E X - X ^ 2 is the CKLT of X given Y and the bit allocation is given by (2).
The measurement signal is quantized by a static logarithmic quantizer.
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