Therefore, a whitening filter has been designed to remove as much correlation as possible from the residual.
The correct length of the whitening filter was experimentally determined by evaluating [r.sub.w](k) for increasing values of the filter length N, applying the Ljung-Box test  to verify whether the whitened residual exhibits a significant autocorrelation.
Following the design of the whitening filter, the design of the fault detection filters was performed using tools from the statistical process control (SPC).
Mean (r(k)) Std Max (r(k)) (r(k)) TAS (K) 3.6 * [10.sup.-3] 0.1129 1.9240 [alpha] (K) 2.1 * [10.sup.-4] 0.1030 1.2362 [beta] (k) -7.5 * [10.sup.-6] 0.1992 1.8095 Table 5: Filter length and whitening filter design.
We assume that the individual pulses are passed through a spatial whitening filter
and thereafter detection takes places, depicted in Figure 3.
Among the topics are how to construct personalized cognitive structures, illumination-invariant face recognition with a whitening filter
and local binary patterns, an intelligence gathering system for business based on cloud computing, a new camera calibration based on a neural network with runable activation function in intelligent space, forecasting monthly maximum five-day precipitation using artificial neural networks with initial lags, the design of an elderly tumble detection system based on a fuzzy algorithm, temperature compensation in full optical fiber current transformer using signal processing, and concessionaire selection based on an improved lowest tariff decision model.
Hundreds of years ago, sugar refiners discovered that bone char from cattle worked well as a whitening filter, and this practice is now the industry standard.
Nevertheless, bone char filters are the most efficient and most economical whitening filters, thereby maintaining their position as the industry's cane sugar filter of choice.