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Difference spectrum theory is presented to implement SSA denoising adaptively.
Then, a lateral system architecture is presented to implement SYNDEM.
A novel application of regular encoding and backward decoding is presented to implement the proposed rate.
An example is presented to implement the new methodology using support vector machines (SVMs).
Moreover, a cross-layer communication protocol is presented to implement this optimization framework in practical scenarios.
Next, a component-based framework is presented to implement the Web-based DSS in a distributed environment.
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As a result, several alternative architectures featuring the sharing of hardware resources have been presented to implement more efficient multi-transform processing structures [27, 30, 31].
Many schemes have been presented to implement chaos control, among which using time-delayed controlling forces proves to be a simple and viable method for a continuous dynamical system [2].
Finally, strategies will be presented to implement a Gibbs sampler for drawing inferences from the posterior distributions of the breeding values.
Based on the proposed algorithm, an efficient interpolation filter VLSI architecture, composed of a reused data path of interpolation, an efficient memory organization, and a reconfigurable pipeline interpolation filter engine, is presented to reduce the implement hardware area and achieve high throughput.
A decision tree-based strategy is presented to optimally select and implement spectra estimates and equality constraints during MCR-ALS optimization.
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