To address the rigid problem of network， NV （Network Virtualization） is widely used， and the key technology of NV is VNE （Virtual Network Embedding）. To solve the problem of unbalanced power and bandwidth resource usage in the process of wireless VNE， a joint hierarchical resource wireless VNE algorithm was proposed based on the load balance principle. Firstly， a new node resource ranking method was adopted， which taking node power and average link bandwidth as the ranking basis. Secondly， the resources were ranked to dynamically adjust the power and bandwidth demanded by virtual network requests. Finally， the unit cost of power and bandwidth resources was improved， and the resource allocation scheme was selected with cost minimization as the objective function. Compared with the original wireless VNE algorithm WVNE-JBP （Wireless Virtual Network Embedding-Joint Bandwidth and Power）， the proposed algorithm has the overall acceptance rate increased by 11.7 percentage points， the average power resource utilization increased by 4.4 percentage points and the average bandwidth resource utilization increased by 1.6 percentage points. Experimental results show that the proposed algorithm can effectively improve the virtual network acceptance rate and resource utilization.

According to the blind extracting issues within the spread-spectrum watermark, a kind of blind extracting algorithm which could be used in the extraction of the digital audio signals was proposed. In the algorithm, wavelet transform was applied to the audio document, then the Discrete Cosine Transform (DCT) was used to its low-frequency coefficient. Afterwards, the fifth coefficient was got and it was used to hide the watermark information being spectrum spread. As the spread-spectrum sequence and its length were unknown during the extraction, spectrum-reprocessing and Singular Value Decomposition (SVD) were introduced to estimate the spread-spectrum using in the embedding process, and the blind extraction to the spread-spectrum watermark of the given digital signal was fulfilled. The simulation results show that with unknown spread-spectrum parameter, watermark image with Normalized Coefficient (NC) of one can be extracted, and it is of strong robustness. Under the attacks of noises and low-pass filter, the accuracy rate of the estimating spread-spectrum sequence is over 90%, which guarantees the recovery of clear water mark image with normalization coefficient higher than 0.98.

Hyperlink-Induced Topic Search (HITS) algorithm is a classic hyperlink-based algorithm. But the HITS algorithm is purely based on the hyperlink, and it ignores the text of the linked page and does not distinguish the importance between the different hyperlinks. Because of this, a theme-drift phenomenon often happens when using HITS algorithm. The improved algorithm based on the HITS algorithm makes use of the classic tf-idf algorithm to calculate the related weight between the linked page and the query. The improved algorithm can make the search engine ranking results more in line with the query, and the corresponding precision rate has also been greatly improved.