A sector bound approach is proposed in [6] to characterize the quantization error caused by a logarithmic quantizer, by which many quantized problem can be solved by the robust tools.
This paper studies identification of systems in which only quantized output observations are available.
where (bar {mathbf {v}}_{i}^{j}) and (bar {mathbf {u}}_{k}^{d}) are the beamforming and receive filter vectors which designed for quantized channels.
The fourth model is a circuit model, which ascribes the quantized conductance of the atom point contact in the ECM device to the discharge of the thermal emf voltage [195, 213].
Unlike the most existing NCSs, the controller communicates with distributed sensors through multiple wired wireless channels and the measured signals from sensors might suffer from communication constraints of hybrid wired wireless networks, which makes the quantized control of distributed event-triggered NCSs more complex.
This is justified by the energy conservation principle stated in (11) and by the fact that, at the CU side, no information about the authentic audio content is available; hence, this is an approximation of the actual, which uses the quantized projections obtained by decoding the hash signature, in the reasonable hypothesis that and.
Next, (similarly) based on the threshold value t, multiple numerical ranges are defined, each of which is a quantized value.
The quantized measurement signals are dealt with by utilizing the sector bound method, in which the quantization error is treated as sector-bounded uncertainty.
The image quantization is realized up to the subtraction between the current pixel and quantized pixel which is zero; in our case, the number of quantized levels is 16. Figure 4g i shows the quantized RGB images (as negative images) obtained in this stage.
The difference channel has much lower energy than the original channel, so more frequency bins can be quantized to similar and smaller quantized values, which leads to the entropy of the resulting quantised time-frequency samples is lower and hence lossless coding using Huffman coding achieves a higher compression rate.
