Sentence examples for techniques complexity from inspiring English sources

As of the other covariance-based detection techniques, complexity of the PC algorithm also comprises of two major steps, one is the computation of the covariance matrix as in (6) and the other is the decomposition of the covariance matrix to calculate eigenvectors in our case.

The different techniques complexities are compared in terms of the total number of arithmetic operations (i.e., additions, subtractions, multiplications, and divisions) required to generate the side information.

Table 1 Complexity comparison of the different sensing techniques Sensing technique Complexity Energy detector M Algebraic detector NM.

An interesting trade-off between the precoding technique complexity and the amount of feedback information has been stated.

Table 1 Coding techniques to reduce OFDM systems sensitivity to frequency shifts Coding technique Complexity Transmission-rate     reduction Self-cancellation [15, 18 27] Slight increase ≥2 Windowing [30, 31] Moderate increase ≥2 Two-path transmission [32 36] Slight increase 2 Correlative coding [37, 38] Moderate increase None This paper Slight Increase None.

However, the calculation of canopies technique complexity over-estimates this complexity [ 26].

While primitive compared to today's photographic techniques, the complexity of the daguerreotype process often resulted in images containing such a multitude of information that they emit what Nijhuis describes as an "eerie clarity".

Although these problems are characterized in terms of the semantics for propositional logic, certain questions about its proof theory may also be addressed using techniques from complexity theory.

However, the large number of different modeling techniques and complexity in the patterns make finding the optimum texture a challenging task and have led to contrary conclusions.

These techniques reduce complexity not through qualitative or quantitative analysis, but through visualisation of all the different perspectives that actors upon the future can have on a subject matter [56].

Due to unreliable estimations of classical techniques and complexity of proposed accurate methods, artificial neural network (ANN) technique has been used to model and predict hydrogen solubility in heavy n-alkanes.