Lots of spectrum data can not be identified or identified with low accuracy, especially in the case of large scale database, the former algorithm loses accuracy fastly. This paper presented a new blind search algorithm. This algorithm is based on a kind of brand-new score model based on similarity relationship measurement.For large scale question, the agorithm takes two pre-filtering strategies such as parention mass filtering and Peptide Sequence Tags (PST) filtering, so that it can guarantee the accurancy in large scale question.

Depth map is the key technology of “2D video+depth map” for 3D display. On the basis of the research into quaternion and Gabor filter, the depth map acquisition technique based on Quaternion-Gabor wavelet motion estimation was proposed. Through calculating the global motion vector of image from ordinary video, the background motion model was estimated and the motion field was gotten. In the end, the foreground and the background of the image were isolated, and the depth map of the image was obtained. Through expanding ordinary Gabor filter to Quaternion-Gabor filter, it can not only get extra information through transforming the picture to frequency domain, but also can get independent filter to each pixel's RGB. The experimental results show that the changes of depth map obtained by Quaternion-Gabor wavelet motion estimation will be very smooth and edges will be more outstanding.

Vector Quantization(VQ) is one of the popular codebook design methods for text-independent speaker identification. The key problem of VQ is the design of codebook. Speech feature parameters have complex distribution with high dimensions. Therefore, we have great difficulty in designing codebook. The traditional LBG algorithm yields only local optimal codebook. In this paper, a new method of codebook design was proposed, named as hybrid immune algorithm. It utilized the niche technology and K-means algorithm in the immune algorithm train step. It adopted improved mutation operator for data clustering with high dimension, reduced the blindness of stochastic mutation, so as to improve the local and global searching capability and increase the convergent speed by vaccination. Experiment for text-independent speaker identification shows that this method can obtain more optimum VQ parameters and better results than the LBG and hybrid genetic algorithm.

An algorithm of the extracting Lexicalized Tree Adjoining Grammar(LTAG) from Penn Chinese corpus was presented. Idea of the algorithm is to induce three kinds of trees from lexicalized tree bank. Then the method of Head-driven Phrase Structure Grammar(HPSG) was applied to extract lexicalized tree from corpus. In the end,invalid lexicalized trees were filtered out by linguistic rules. It requires fewer human efforts compared with hand-crafted grammar. It is possible to remedy omission of grammatical syntactic structures in hand-crafted grammar.