Description: 该程序应用八点算法计算视觉几何中的基本矩阵，并在MATLAB的环境中运行-The program application eight algorithm to calculate the fundamental matrix of the visual geometry, and run in the MATLAB environment Platform: |
Size: 45056 |
Author:lixiaofang |
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Description: 运用matlab语言，A*算法实现移动机器人路径规划-Path Planning: A* Algorithm
Navigating a terrain and finding the shortest path to a Goal location is one of the
fundamental problems in path planning. While there are many approaches to this problem, one of
the most common and widely known is the A Star search. Platform: |
Size: 2048 |
Author:季玉慧 |
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Description: 为了更好地进行谐波和无功功率的补偿与控制，叶FBD(Fryze一Buchholz一DPenbrock)法的定
义进行了完善，并给出了补偿电流检测的直接法和间接法，在三相电力系统中对FBD间接法进行
了推广研究，利用参考电压进行投影变换，不仅可以检测出功率电流和零功率电流，还可以检测出
基波有功电流、基波无功电流、谐波电流以及任意次谐波电流等，大大拓展了FBD法的应用范围和领域。MATI一AB仿真和实验结果表明了所定义和推广的电流检测方法的正确性和有效性。
-In order to improve the performance of active power filter(APF) harmonic current detection method, a harmonic current detection based on FBD(Fryze-Buchholz-Dpenbrock) algorithm was proposed. Reference voltage was generated by phase locked loop(PLL), and load current was projected to reference voltage, and then the active power fundamental current, reactive power fundamental current, harmonic current, fundamental negative sequence current, any harmonic current and so on can be detected accurately by using low-pass filter(LPF), and in the case of distorted voltage, the method was also applicable. The simulation results verify the fast dynamic speed, high detection accuracy, simple implement and good project value of the proposed algorithm. MATLAB simulation results confirm the feasibility and validity of the method. Platform: |
Size: 251904 |
Author:卢锋 |
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Description: 人工神经网络反映了人脑功能的若干基本特性，但并非生物系统的逼真描述，只是某种模仿、简化和抽象。用java语言实现神经网络算法。-ANN reflects certain fundamental human characteristics of brain function, but not a realistic description of biological systems, but some kind of imitation, simplification and abstraction. Using java language neural network algorithm. Platform: |
Size: 6144 |
Author:lhx |
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Description: LIBVISO2: C++ Library for Visual Odometry 2LIBVISO2 (Library for Visual Odometry 2) is a very fast cross-platfrom (Linux, Windows) C++ library with MATLAB wrappers for computing the 6 DOF motion of a moving mono/stereo camera. The stereo version is based on minimizing the reprojection error of sparse feature matches and is rather general (no motion model or setup restrictions except that the input images must be rectified and calibration parameters are known). The monocular version is still very experimental and uses the 8-point algorithm for fundamental matrix estimation.-LIBVISO2: C++ Library for Visual Odometry 2LIBVISO2 (Library for Visual Odometry 2) is a very fast cross-platfrom (Linux, Windows) C++ library with MATLAB wrappers for computing the 6 DOF motion of a moving mono/stereo camera The stereo version is. based on minimizing the reprojection error of sparse feature matches and is rather general (no motion model or setup restrictions except that the input images must be rectified and calibration parameters are known). The monocular version is still very experimental and uses the 8-point algorithm for fundamental matrix estimation. Platform: |
Size: 3335168 |
Author:李志滨 |
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Description: 电话拨号音的合成与识别
基于对电话通信系统中拨号音合成与识别的仿真实现，主要涉及到电话拨号音合成的基本原理及识别的主要方法，利用 MATLAB 软件以及 FFT 算法实现对电话通信系统中拨号音的合成与识别。并进一步利用 MATLAB 中的图形用户界面 GUI 制作简单直观的模拟界面。使其对电话通信系统拨号音的合成与识别有个基本的了解。 能够利用矩阵不同的基频合成 0 － 9 不同按键的拨号音，并能够对不同的拨号音加以正确的识别，实现由拨号音解析出电话号码的过程。-Synthesis and recognition telephone dial tone
Based on telephone communication system dial tone Simulation synthesis and recognition, mainly related to the basic principles of the main methods telephone dial tone synthesis and recognition, using MATLAB software and the FFT algorithm for synthesis and recognition telephone communication system dial tone. And further use of MATLAB graphical user interface is simple and intuitive GUI making analog interface. Synthesis and recognition make telephone communication system dial tone have a basic understanding. Can be different the fundamental frequency of matrix synthesis 0 9 dial tone different keys, and can be correctly identify different dial tone, dial tone achieved by the parsed telephone number of processes. Platform: |
Size: 12288 |
Author:Zh |
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Description: 多传感器分配是传感器网应用过程中的一个关键问题，文章对多种方法进行了分析比较，指出了各种方法的优缺点及适用场合，值得借鉴-Sensor deployment is a fundamental issue in sensor
networks. Studies on the deployment problem are concentrated
on deploying sensors to cover assigned areas or set ofpoints
efficiently. In this paper, we discuss the sensor deployment
problem in the conte-xt of target tracking. Firstly, we propose a
sensor deployment optimization strategy based on Target
Involved Virtual Force Algorithm (TIVFA). The TIVFA
algorithm can dynamically adjust sensor networks configuration
according to terrains, intelligence and those detected
maneuvering targets in order to improve coverage and detection
probability. Secondly, we present an improved sensor-ranking
algorithm as well as a sensor protecting strategy with targets
importance sequence in consideration. The 7TVFA algorithm,
together with the sensor protecting strategy, can produce an
efficient and robust sensor network. Experiment results
sufficiently demonstrate the effectiveness of the proposed
approach. Platform: |
Size: 3677184 |
Author:刘洋 |
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Description: peakfit 是一种时间序列信号的命令行峰拟合程序，写在一个单独的文件的一个独立的MATLAB函数。-peakfit(signal,center,window,NumPeaks,peakshape,extra,NumTrials,start,autozero,fixedparameters,plots,bipolar,minwidth,DELTA,clipheight). A command-line peak fitting program for time-series signals, written as a self-contained Matlab function in a single m-file. Uses a non-linear optimization algorithm to decompose a complex, overlapping-peak signal into its component parts. The objective is to determine whether your signal can be represented as the sum of fundamental underlying peaks shapes. Accepts signals of any length, including those with non-integer and non-uniform x-values. Fits any number of peaks of 28 different shapes, including models with multiple shapes. This is a command line version, usable a remote terminal. It is capable of making multiple trial fits with sightly different starting values and taking the one with the lowest mean fit error, and it can estimate the standard deviation of peak parameters a single signal using the bootstrap method. Platform: |
Size: 20480 |
Author:sarah |
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Description: 分解图匹配（Factorized Graph Matching）源码-Graph matching (GM) is a fundamental problem in computer science, and it plays a central role to solve correspondence
problems in computer vision. GM problems that incorporate pairwise constraints can be formulated as a quadratic assignment problem
(QAP). Although widely used, solving the correspondence problem through GM has two main limitations: (1) the QAP is NP-hard and
difficult to approximate (2) GM algorithms do not incorporate geometric constraints between nodes that are natural in computer vision
problems. To address aforementioned problems, this paper proposes factorized graph matching (FGM). FGM factorizes the large
pairwise affinity matrix into smaller matrices that encode the local structure of each graph and the pairwise affinity between edges.
Four are the benefits that follow this factorization: (1) There is no need to compute the costly (in space and time) pairwise affinity
matrix (2) The factorization allows the use of a path-following optimization algorithm Platform: |
Size: 7779328 |
Author:GuoWei |
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Description: Contour Detection and Hierarchical Image Segmentation (UC Berkeley)
MATLAB/C++混编
Arbela?ez, P., Maire, M., Fowlkes, C., & Malik, J. (2011). Contour Detection and Hierarchical Image Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(5), 898–916. https://doi.org/10.1109/TPAMI.2010.161(This paper investigates two fundamental problems in computer vision: contour detection and image segmentation. We present state-of-the-art algorithms for both of these tasks. Our contour detector combines multiple local cues into a globalization framework based on spectral clustering. Our segmentation algorithm consists of generic machinery for transforming the output of any contour detector into a hierarchical region tree. In this manner, we reduce the problem of image segmentation to that of contour detection. Extensive experimental evaluation demonstrates that both our contour detection and segmentation methods significantly outperform competing algorithms. The automatically generated hierarchical segmentations can be interactively refined by user-specified annotations. Computation at multiple image resolutions provides a means of coupling our system to recognition applications.) Platform: |
Size: 30558208 |
Author:aa11285
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Description: dijkstra算法，最基础简单方便易学！(A very fundamental and easy version of Dijkstra algorithm! Hope everyone can start at this point!) Platform: |
Size: 5120 |
Author:xiaotong0201
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Description: Python算法解释了Python算法分析和设计的方法。Magnus Lie Hetland写的，开始的Python作者，这本书清晰地聚焦于经典的算法，但它也提供了一个坚实的理解基本算法解决问题的技巧。*本书讨论了一些最重要和最具挑战性的编程领域和C语言。(Python Algorithms explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, author of Beginning Python, this book is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving techniques. * The book deals with some of the most important and challenging areas of programming and c) Platform: |
Size: 349184 |
Author:aas33ss |
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Description: 机器学习是一门多领域交叉学科，涉及概率论、统计学、逼近论、凸分析、算法复杂度理论等多门学科。专门研究计算机怎样模拟或实现人类的学习行为，以获取新的知识或技能，重新组织已有的知识结构使之不断改善自身的性能。
它是人工智能的核心，是使计算机具有智能的根本途径。(Machine learning is an interdisciplinary subject, involving probability theory, statistics, approximation theory, convex analysis, algorithm complexity theory and so on. The purpose of this study is to study how computers simulate or realize human learning behaviors in order to acquire new knowledge or skills and reorganize the existing knowledge structure to improve its performance.
It is the core of artificial intelligence and the fundamental way to make computers intelligent.) Platform: |
Size: 451584 |
Author:Bert_S |
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Search - fundamental of algorithm