Figure 6.1: Singular values of the measurement matrix.
6.2.1 Measurement matrix evaluation
The functionality of the IC imposes dependencies in logic gate status. Thus, the
power vectors for the input vectors (i.e., the rows of the measurement matrix
A) are not necessarily independent. In this sections, we use the singular value
decomposition (SVD) to quantify the dependency of the rows of A.
A matrix with N independent rows has N non-zero singular values. The
sorted singular values of C499 and C880 circuits are shown in Figure 6.1 for a
measurement matrix with M = 6 × N measurements, where N is the number of
gates. On the figure the singular values for each circuit are normalized such that
the largest singular value is 1. The figure demonstrates that the singular values
decay rapidly; the 20-th singular value in both circuits are less than 10% (0.1).
68
More intriguing information
1. Ultrametric Distance in Syntax2. Wettbewerbs- und Industriepolitik - EU-Integration als Dritter Weg?
3. Computational Batik Motif Generation Innovation of Traditi onal Heritage by Fracta l Computation
4. BODY LANGUAGE IS OF PARTICULAR IMPORTANCE IN LARGE GROUPS
5. Party Groups and Policy Positions in the European Parliament
6. Bidding for Envy-Freeness: A Procedural Approach to n-Player Fair Division Problems
7. Fortschritte bei der Exportorientierung von Dienstleistungsunternehmen
8. The Evolution
9. The name is absent
10. The name is absent