▍1. LBM_manual
LBM可视化软件相应的文档,对于理解代码,学习LBM方法很实用(LBM corresponding visualization software documentation, for understanding the code, learning LBM method is practical)
LBM可视化软件相应的文档,对于理解代码,学习LBM方法很实用(LBM corresponding visualization software documentation, for understanding the code, learning LBM method is practical)
ZIGZAG cohesive law for dmage growth in composite materials article.Very helpful.
说明: 属于地震勘探领域,适用于层析成像射线追踪方法研究,介绍了雅克比法射线追踪。(It belongs to the field of seismic exploration and is suitable for the study of tomography ray tracing methods. It introduces the Jacobian ray tracing method.)
光伏并网发电方面很有价值的博士论文,涉及MPPT,并网技术。(Photovoltaic power generation are valuable doctoral dissertation, involving MPPT, and network technology.)
3GPP-LTE下频偏估计算法的研究,包含了三种算法。基于PSS的算法,基于CP的算法和基于MUSIC的算法(An efficient CFO estimation algorithm for the downlink of 3GPP-LTE)
详细讲解了25个MATLAB图像与视频处理实用案例(含可运行程序),涉及雾霾去噪、答题卡自动阅卷、肺部图像分割、小波数字水印、图像检索、人脸二维码识别、车牌定位及识别、霍夫曼图像压缩、手写数字识别、英文字符文本识别、眼前节组织提取、全景图像拼接、小波图像融合、基于语音识别的音频信号模拟灯控、路面裂缝检测识别、视频运动估计追踪、Simulink图像处理等多项重要技术(Explain in detail the 25 MATLAB image and video processing utility case (including operating procedures), involving haze denoising, sheet automatic marking, lung image segmentation, wavelet digital watermarking, image retrieval, face recognition, license plate location and two-dimensional code recognition, image compression, Hoffman handwritten digit recognition, character recognition, text English anterior segment tissue extraction, panoramic image mosaic, image fusion, light control, analog audio signal of speech recognition pavement crack detection and identification, video tracking, motion estimation of Simulink image processing technology based on a number of important)
关于关联向量机应用的最新文献! 提出了一种核主元分析(KPCA)和关联向量机(RVM)相结合的组合建模方法。KPCA-RVM采用KPCA对原始自变量进行非线性变换并提取主成分,形成特征自变量 采用RVM,对KPCA变换后的样本数据进行回归建模,并根据模型的预报能力自适应的确定参与回归的最佳特征变量个数,消除冗余信息干扰,获得强非线性表达能力且预报性能良好的模型。并将KPCA-RVM应用于PTA装置对羧基苯甲醛(4-CBA)含量的软测量建模,结果表明该方法预测精度高于PCA-RVM和RVM。(A novel modeling method integrated KPCA with RVM was proposed. The kernel primary component analysis (KPCA) was employed to identify the principal components from the nonlinear transform data of independent variables, which were regarded as character variables. Regression between character variables and dependent variables was done based on RVM, and the optimal number of the character variables was adaptively determined according to the generalization performance of the regression model. Thus, KPCA-RVM meth...)
基于贝叶斯压缩感知理论的相关介绍,压缩感知理论是近几年非常热门的研究内容(Introduction of compressed sensing theory based on Bayesian compressed sensing theory is very popular in recent years, the research content)
稀疏贝叶斯学习和相关向量回归,大家可以看一下,人工智能中的应用(Relevance vector machine, new applications in the field of artificial intelligence, I hope you look at... )
基于点云的谷脊线特征提取算法研究:提出一种基于多步逼近策略的点云特征提取算法(Exaction of ringle and ravine.)
直流断路器博士论文,利用电力电子器件。很不错的。(DC circuit breaker dissertation, the use of power electronic devices. Very good.)
说明: 本书不是一本典型的游戏设计技术书,而是用一种新颖的方式教导游戏设计者们如何创造和改进其设计,以获得最大程度的快乐。(This book is not a typical game design technology book, but a novel way to teach game designers how to create and improve their design, in order to get the most happiness.)
User manual of HiSilicon PQTools Utility V1.0.7.0
说明: User manual of HiSilicon PQTools Utility V1.0.7.0
Windows环境下32位汇编语言程序设计(Windows environment next 32 assembly language programming )
华为公司内部资料,硬件工程师必读的,尤其对刚毕业没有任何开发经验的人,它可以带你登堂入室,给你一个良好的开发习惯。(Huawei internal information, hardware engineers required reading, especially right after graduation without any experience in the development, it can take you tap, you develop a good habit.)
卡尔曼滤波器教程,中文详解,通俗易懂,18页(Kalman Filter Directory, Chinese Elaborates on, user-friendly, 18)
学习c++的十四本经典书籍,个人若干年来的吐血珍藏,希望能对那些在c++路上跋涉的朋友们有点帮助(learning c++ 14 classic books, several years of personal spat blood collection, The hope is to those in c++ road trek friends a little help)