搜索资源列表
z2
- 1 摘
joint-diagonalization-
- 利用联合对角化分数低阶空时矩阵进行冲击噪声环境下的二维DOA估计-Use of joint diagonalization fractional lower order two-dimensional space-time matrix DOA estimation under impulsive noise environments
xiaobobaoyuzhijiangzao
- ：提出一种基于对偶树复小波块阈值的信号降噪方法，并将其成功应用于机械故障诊断中。机械设备的振动信号都或多或少地含有噪声，导致弱故障信息的提取一直是故障诊断的难点和热点。提出的降噪方法充分利用对偶树复小波变换的平移不变性和块阈值法的更优估计特性，可以获得比常规的小波降噪方法以及基于常规离散正交小波变换的 NeighBlock 降噪法更高的信噪比， 不仅能有效抑制高斯白噪声， 还能够去除冲击信号中的脉冲噪声。-：A denoising method of block thresholding bas
paper4
- A Factor Graph Approach to Joint OFDM Channel Estimation and Decoding in Impulsive Noise Environments
Square-root_algorithms_
- 该文章描述了基于MCC的均方根卡尔曼滤波算法，其性能由于传统的卡尔曼滤波，尤其是当测量噪声为脉冲噪声时。-square root kalman filtering algorithm based on MCC is descr ipted in this paper. the performance of the proposed algorithm in this paper outperforms the traditional kalman filter, especially for t
A-Robust-Algorithm-for-Joint-Sparse
- 脉冲噪声背景下的联合稀疏恢复方法， 在不同背景下给出了测试结果-presents a robust solution for joint sparse recovery (JSR) under impulsive noise. The unknown measurement noise is endowed with the Student-t distribution, then a novel Bayesian probabilistic model is proposed to