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dissert
- 本文档是Karl Skretting的博士论文，主要研究dictionary learning，以及重叠帧里稀疏信号的呈现。-This document is Karl Skretting s PhD thesis, which focuses on dictionary learning and the presentation of sparse signals in overlapping frames.
PolSAR-ship-detection
- 基于稀疏表示的极化SAR舰船目标检测，有益于学者学习-Polarization SAR ship target detection based on sparse representation, is conducive to academic study
Time domain channel estimation
- 滤波器组多载波系统中时域估计方法未充分利用导频信息且频谱效率不高的问题，对原有的估计表达式进行了扩展并对导频非稀疏和稀疏两种情况进行了研究。(Problems existing in traditional time domain channel estimation method of FBMC systems were analyzed in this paper and a new equation was also presented. Methods were respectivel
资料
- 帮助各位本科生、硕士生、博士学习模式识别，机器学习、人工智能，主要是一些英文资料。(To help undergraduates, master students and doctoral students learn pattern recognition, machine learning and artificial intelligence, mainly some English materials)
32_KSVD_IEEE_TSP11
- ksvd初学者参考论文，本文对ksvd原理发展做出了详细介绍，并与其他方法相比较，具有明显优势(Ksvd beginner's reference paper.This paper gives a detailed introduction to the development of ksvd principle and has obvious advantages compared with other methods.)
l1magic
- 实现压缩感知的稀疏信号恢复，采用L1范数约束最小化策略(Sparse signal recovery with compressed sensing, by using the L1 norm constraint minimization strategy)
DeepLearningforPassiveSyntheticApertureRadar
- 通过大量的数值模拟，我们的深度学习为基础的方法优于传统的稀疏编码方法在计算方面和重建图像质量，特别是当没有对发射机的信息是可用的。(our deep learning based method is better than the traditional method in calculation and the quality of image reconstruction, especially when no information is available on the transmit
张量分解针对高维稀疏数据处理阐述.docx
- 张量分解 技术研究的情况。送 if 为哦我吃呢次哦嗯哦此外呢次哦那位哦刺猬(Tenor Decomposition The study of tensor decomposition technology. If, oh, I'll eat it. Oh, uh oh, besides, oh, oh, hedgehog.)
字典学习模型_算法及其应用研究进展_练秋生
- 这是一篇关于字典学习的国内最新版综述，详细的描述了不同字典学习模型下的典型算法，对于稀疏表示领域的同学有一定的参考价值和作用。(This is a domestic latest edition of dictionary learning, which describes in detail the typical algorithms under different dictionary learning models. It has a certain reference value an
fbp算法
- 稀疏编码与字典更新交替进行，最终训练出一个优良的字典
Massive MIMO 信道估计Trans论文
- 清华大学团队出品，十分好的关于FDD massive MIMO信道估计的文章(Tsinghua University team produced a very good article on FDD massive MIMO channel estimation)
Scipy
- SciPy—数值计算库 在NumPy的基础上增加一些功能 1、常数和特殊函数 2、线性代数-linalg 3、优化 （1）非线性方程组求解 （2）最小二乘拟合 （3）函数最小值 4、插值—interpolate （1）B样条曲线插值 （2）外推和Spline拟合 （3）二维插值 5、数值积分—integrate （1）球的体积 （2）解常微分方程组 6、统计—stats （1）连续和离散概率分布 （2）二项、泊松、伽玛分布 7、稀疏矩阵—sparse(On t
一种稀疏码本多址接入码本优化设计方法
- 针对现有SCMA码本设计中存在的问题，提出一种同时适 用于高斯信道和瑞利衰落信道的SCMA码本优化设计方法。