sound localization

GCC-PHAT is a straightforward method for sound source localization. This MATLAB code allows angle localization of a sound source using a linear microphone array (with an example setup of 8 microphones). The code processes continuous sound signals (.wav format) captured by the array. Multiple sources can be detected as long as each source has distinct time intervals when emitting sound, without overlapping emission periods. This code is primarily designed for introductory learning purposes. It provides a basic understanding of GCC-PHAT and includes a brief documentation for guidance. Note: It is not suitable for those seeking to perform accurate or complex localization tasks. Key Features Processes linear microphone arrays (example: 8 microphones) Localizes sound angles based on non-simultaneous multiple sources Includes a basic documentation for learning purposes This tool is ideal for beginners aiming to understand the fundamental concepts behind GCC-PHAT in sound source localization.

本程序是一个音效处理器，使用MATLAB 2010b编写，包含完整的程序包。其主要功能包括：快放、倒放、回声、声音穿梭和机器人声。程序经过测试，运行稳定，支持现场录音及保存，能够提取已录好的声音文件，并在播放时展示时域谱和频谱。

MATLAB开发—使用iMatlab生成声音。这个节目是让孩子们了解心跳的。典型的心率因物种而异。

该算法是建立在离线传播模型下，不考虑多径效应、反射、折射等对信号强度有损耗的情况。算法中选用了NN、KNN、WKNN等几种常用的指纹定位算法。

Navindoor 是用于设计、测试和评估本地化算法的仿真工具。它是在 MATLAB 中开发的平台，提供必要的工具来定义在定位系统模拟的不同阶段中发挥作用的所有元素：场景的定义、运动对象的轨迹和动力学的定义、合成生成不同类型和特性的信号，通过不同的算法处理这些信号，并对评估结果进行评估和比较。Navindoor 的设计具有可扩展性，因此易于实施和合并新的信号和动态模型以及定位算法。要下载并安装 Navindoor，请在 MATLAB 控制台中编写： unzip('https://github.com/DeustoTech/navindoor-code/archive/master.zip') movefile('navindoor-code-master', 'navindoor','f') addpath(fullfile(cd,'navindoor')), savepath cd navindoor 然后，为启动 Navindoor，编写： StartNavindoor。要求需要 MATLAB R2017b。

输入：图像、要定位的斑点的半径、要定位的斑点数量。输出：在blob中心位置为1，否则为0的图像。此代码通过从图像和原型之间的峰值xcorr位置处的图像中顺序减去原型函数来运行。

This forked from an existing project. Ellipse features are commonly encountered in machine vision, and high-precision detection of ellipse centers is often required. If you are interested in how to precisely draw ellipses, refer to my earlier share: High-quality Ellipse Detection. Illustration: This is the source code for the paper. Important: Please use the citation of our IEEE TIP version instead of the arXiv version. The main contribution of the proposed ellipse detector is to both accurately and efficiently detect ellipses in images, which is universally considered as a tough and long-standing problem in the ellipse detection field.

PLSQL Developer 12 64-bit latest version is available for free download with localization pack and registration code. Feel free to download securely. I have downloaded it from the official website and am sharing it here since the official download speed is slow.