小秋SLAM笔记

地形辅助定位TERRAIN-AIDED LOCALIZATION USING FEATURE-BASED PARTICLE FILTERING.pdf

Pedestrian detection is a fundamental problem in video surveillance. An overwhelming majority of existing detection methods are based on sliding windows with exhaustive multi-scale scanning over the whole frame images which can achieve good accuracy but suffer from expensive computational cost. To reduce the complexity significantly while keeping high accuracy, in this paper, we propose an effective and efficient pedestrian detection method based on sliding windows with well-designed multi-scale

Ensemble_Kalman_filtering 集合卡尔曼滤波，作者：P. L. Houtekamer Herschel L. Mitchell 集合卡尔曼滤波器是一种递归滤波器，适用于具有大量变量的问题

optimal filtering英文版书籍，内容和概念讲解详细。

Fundamentals of Kalman Filtering A Practical Approach Third Edition.pdf 是我从网上找的一本关于卡尔曼滤波的教材

控制理论和最优滤波器设计的经典教材，有很强的专业性，适合控制理论和信号处理方面的进阶。

大牛Anderson的经典书籍，不容错过

【作 者】Per Christian Hansen 【出版社】Society for Industrial and Applied Mathematic 【出版日期】October 29, 2006 【ISBN】0898716187 9780898716184 【形态项】9.8 x 6.7 x 0.3 inches 【语 言】English 【价 格】$63.00 Deblurring Images: Matrices, Spectra, and Filtering (Fundamentals of Algorithms 3) (Fundamentals of Algorithms) By Per Christian Hansen Publisher: Society for Industrial and Applied Mathematic Number Of Pages: 130 Publication Date: 2006-10-29 ISBN-10 / ASIN: 0898716187 ISBN-13 / EAN: 9780898716184 Binding: Paperback “The book’s focus on imaging problems is very unique among the competing books on inverse and ill-posed problems. …It gives a nice introduction into the MATLAB world of images and deblurring problems.” — Martin Hanke, Professor, Institut für Mathematik, Johannes-Gutenberg-Universität. When we use a camera, we want the recorded image to be a faithful representation of the scene that we see, but every image is more or less blurry. In image deblurring, the goal is to recover the original, sharp image by using a mathematical model of the blurring process. The key issue is that some information on the lost details is indeed present in the blurred image, but this “hidden” information can be recovered only if we know the details of the blurring process. Deblurring Images: Matrices, Spectra, and Filtering describes the deblurring algorithms and techniques collectively known as spectral filtering methods, in which the singular value decomposition—or a similar decomposition with spectral properties—is used to introduce the necessary regularization or filtering in the reconstructed image. The concise MATLAB® implementations described in the book provide a template of techniques that can be used to restore blurred images from many applications. This book’s treatment of image deblurring is unique in two ways: it includes algorithmic and implementation details; and by keeping the formulations in terms of matrices, vectors, and matrix computations, it makes the material access

经典beamforming、自适应滤波教材matlab源代码。 Paulo S.R. Diniz编著的自适应滤波第四版（Adaptive Filtering_Algorithms and Practical Implementation 4th），源代码——Nonlinear_Adaptive_Filters