• 2Q/1Q correlation experiments
• 2Q/1Q correlation with DUMBO decoupling experiments

• Harmonic inversion for dead time correction
• Harmonic inversion for improving spectrum resolution
• New SVD Java application
• SVD Java application

• TSP-d4
• Magadiite
• LZY64
• NaX
• Nanomacs
• Camphor
• Beta zeolite
• Silica-alumina

• 2008-2002

²⁹Si MAS QCPMG echo train of beta zeolite is truncated (see Figure 2 A) due to short acquisition duration. Without line broadening processing of the echo train, wiggles appear in the spikelet spectrum (see Figure 3 A).

Forward linear prediction processing of the echo train increases the acquisition duration with calculated data (see Figure 2). As a result, wiggles do not appear in spikelet spectrum. Furthermore, the signal to noise ratio of the spikelet spectrum is improved (see Figure 3H).

Bruker: Linear prediction

Figure 1: Forward linear prediction parameters for ²⁹Si MAS QCPMG echo train, SI = 32k.

Figure 2: Application of forward linear prediction on ²⁹Si MAS QCPMG echo train: (A) without linear prediction; linear prediction with NCOEF = 64 (B), 128 (C), 256 (D), 512 (E), 1k (F), 2k (G), 4k (h), and 8k (I).

Figure 3: Spectrum from forward linear prediction on ²⁹Si MAS QCPMG echo train of Figure 2: (A) without linear prediction; linear prediction with NCOEF = 64 (B), 128 (C), 256 (D), 512 (E), 1k (F), 2k (G), 4k (h), and 8k (I).