Sentence examples for matrices with low from inspiring English sources
These minimal polynomials have the minimal parity-check matrices with low rows, so the adaptive processing can only reduce the influence for low number of unreliable decision bits.
This result is extended for biorthogonal bases in order to provide sensing matrices with low coherence, that have advantages when compared to Noiselets in a CS paradigm.
Current research on microcapillary electrophoresis materials is focused on the development of separation matrices with low injection viscosities and wall-coating capabilities.
A successive architecture for reducing the computational load can also be developed in the similar fast algorithms as that of one-dimensional CBIJM while factorizing two-dimensional CBIJM into the lower order sparse matrices with low complexities.
Cell culture on the fibrous matrices with low and high contents confirmed that osteoblast (MC3T3-E1) favored the fibrous matrix with a high TCP content in terms of proliferation and osteogenic differentiation.
The details of the additional steps are listed below: Step 6: List the binary minimal parity-check matrices over GF(2 m ) which have low rows: Hbmin mL 1 x)), Hbmin mL 2 x)),…, Hbmin mL η(x)), here η represents the number of binary minimal parity-check matrices with low rows.
Stiff matrices with a high-yield stress provide hard or tough foams (e.g., stale and toasted breads), while low-modulus matrices with low-yield stress tend to provide softer weaker foams (e.g., light sponge cakes); brittle matrices produce foams that burst open when bitten into (e.g., dry meringues), while ductile matrices produce foams that melt in the mouth as they are chewed.
It is quite challenging to design a deterministic sensing matrix with low coherence.
T is the total factor matrix with low rank, which expands a subspace containing speaker- and channel-dependent information.
The combination of high strength concrete matrixes with low strength fibers does not seem to be efficient.
μ=1, HT,1=HW, which is the Wiener filtering matrix; μ>1, results in a filtering matrix with low residual noise at the expense of high speech distortion (as compared to Wiener); and.
