A new image retrieval method by using Max correlation min distance to combine together texture features, Gaussian density characteristics and face detection of images for image retrieval is presented.
提出利用最大相关最小距离将图像的纹理特征、高斯密度特征与人脸检测相结合的算法进行图像检索。
To improve the decoding performance of Low Density Parity Check (LDPC) code, an efficient decoding algorithm based on min-sum algorithm is proposed.
针对低密度奇偶校验(LDPC)译码算法性能低的问题，提出一种基于最小和的高效译码算法。
To improve the decoding performance of Low Density Parity Check (LDPC) code, an efficient decoding algorithm based on min-sum algorithm is proposed.
针对低密度奇偶校验(LDPC)译码算法性能低的问题，提出一种基于最小和的高效译码算法。
应用推荐