A face recognition method based on 2d Principal Component Analysis (2dpca) and compressive sensing is introduced in this paper.
提出一种基于二维主成份分析(2dpca)和压缩感知的人脸识别方法。
This dissertation mainly studies the compressive sensing technology and its application in spectrum sensing for wideband cognitive radio.
本文主要研究了压缩感知技术及其在宽带认知频谱感知中的应用。
The test results show that the proposed algorithm can achieve high probability of correct judgment with the advantages of compressive sensing.
分析表明此方法具有较高的正确判决概率，且具有压缩感知的优点。
For the problem of integrity authentication about compressed video streams, this paper proposed a video watermarking algorithm based on Compressive Sensing (CS).
针对压缩域视频流的完整性认证问题，提出了一种基于压缩传感(CS)的视频水印算法。
2014-2016, Image Hashing Theories and Methods Based on Data Dimensionality Reduction and Compressive Sensing, National Natural Science Foundation of China (NSFC), PI.
基于数据降维和压缩感知的图像哈希理论与方法，国家自然科学基金（青年科学基金项目）， 2014-2016，主持。
According to compressive sensing theory, encoding a video sequence into a few pseudo-random projections of each frame is reasonable due to the sparsity in the interested information.
根据压缩感知理论，用每帧的少量伪随机投影编码一个视频序列。
The unsuitable iterative number of the Regularized Orthogonal Matching Pursuit (ROMP) algorithm in the framework of Compressive Sensing (CS) may reduce the quality of image reconstruction greatly.
在压缩感知框架下运用正则化正交匹配追踪(ROMP)算法进行图像重构时，迭代次数取值不合适会严重降低重构图像的质量。
The unsuitable iterative number of the Regularized Orthogonal Matching Pursuit (ROMP) algorithm in the framework of Compressive Sensing (CS) may reduce the quality of image reconstruction greatly.
在压缩感知框架下运用正则化正交匹配追踪(ROMP)算法进行图像重构时，迭代次数取值不合适会严重降低重构图像的质量。
应用推荐