microphone array

模拟数组底层实现，对数组二次封装，更方便地管理数组。

矩阵运算和数组运算的对照表： | 矩阵算法 | 数组算法 | 命令形式 | 功能含义 ||------------------|--------------------|--------------------|---------------------------------------|| A’ | A.’ | 求矩阵A的共轭转置 | 求数组A的非共轭转置 || x±A | x±A | 标量x与矩阵A元素和或差 | 标量x与数组A元素和或差 || x×A | x.*A | 标量x与方阵A各元素积 | 标量x与数组A各元素积 || x×inv(A) | - | 标量x与方阵A的逆矩阵积 | - || x./A, A.\x | - | 标量x分别除以矩阵A元素 | 标量x分别除以数组A元素 |

在MATLAB中实现的数组乘法或称为编码和解码数组的一类数组。考虑两个任意数组ax和by，以及由任意乘积产生的数组cz。

MATLAB-相控阵系统工具箱

阵列信号的应用 • 雷达：相控阵天线系统、波束灵活控制、高分辨测向、干扰置零、成像（SAR/ISAR）• 移动通信：波束形成、抗多址干扰、空分多址（SDMA）• 声纳：水声工程、宽带阵列处理• 地震勘探：爆破、地震检测、地质层机构特征分析、探石油• 射电天文：定位、测向• 电子医疗工程：层析成像、医学成像

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.

ACCESS函数详解 Abs函数 功能：Abs函数的主要功能是返回给定数值的绝对值，即去掉正负号后的值。 语法：Abs(number) 参数： number：必填参数，可以是任何有效的数值表达式。如果包含Null值则返回Null，若为未初始化变量则返回0。 示例： vba Dim x As Integer x = Abs(-10) ' x的值为10 x = Abs(10) ' x的值也为10 x = Abs(Null) ' x的值为Null Array函数 功能：Array函数用于创建一个数组，将一系列值赋给数组的各元素。 语法：Array(arglist) 参数： arglist：必填参数，为一个用逗号分隔的值列表，这些值将作为数组元素。如果未提供参数，则生成长度为0的数组。 示例： vba Dim arr As Variant arr = Array(1, 2, 3) ' arr包含三个元素 Dim b As Integer b = arr(2) ' b的值为2 说明： Array函数生成的数组默认下界为0，可通过Option Base修改，但若用VBA.Array指定类型库名，则不受Option Base影响。 Variant类型变量即使未声明为数组，也可作为数组使用。 Asc函数 功能：Asc函数返回字符串中第一个字符的ASCII代码值。 语法：Asc(string) 参数： string：必填参数，需为有效的字符串表达式。若字符串为空，函数会抛出运行时错误。 示例：vbaDim code As Integercode = Asc(\"H\") ' code的值为72 说明：在非双字节字符集(DBCS)系统中，Asc函数返回第一个字符的ASCII值。

javaTable: This straightforward function allows you to display a 2D cell array of strings in a Java JTable, resembling a spreadsheet with scrollbars. By simply passing in the cell array, column names, and table name, a new Java window pops up to display the data, making it easier to view and interact with large datasets in a structured layout. With javaTable, users can effortlessly bring data organization into MATLAB with a simple call to a function, leveraging the Java JTable's structured and scrollable interface for a seamless data display.

The rt_script.m is the main program. It generates a text file and a PDF report to log the estimated reverberation time. Two measurement methods can be used: 1) Speaker On-Speaker Off Method, and 2) Balloon Burst Method. The documentation provides basic programs for both methods. It has been found that the Speaker On-Speaker Off Method is significantly more accurate than the Balloon Burst Method. The Balloon Burst Method tends to have over 50% error below 1000 Hz. The reverb_time.m calculates the reverberation time from the 1/3 octave band time logs. Time records of random test signals, generated by the script makelNHANESNoisesm_ed.m (also available on MATLAB Central File Exchange), are ideal for measuring reverberation time using the Speaker On-Speaker Off Method. The Balloon Burst Method can be used to process the same file multiple times to roughly estimate the reverberation time for each 1/3 octave band.

二分查找法变形三 输入一个数组和要查找的数据，在数组中找到大于等于该数的第一个数及其位置。 实现步骤： 定义一个低指针low，初始化为数组的第一个索引。 定义一个高指针high，初始化为数组的最后一个索引。 计算中间指针mid，如果mid对应的数大于等于目标数，则high=mid-1，否则low=mid+1。 继续缩小范围，直到找到目标值的位置或确认没有匹配项。 示例代码： function [result, position] = bearch_change03(arr, target) low = 1; high = length(arr); result = -1; position = -1; while low <= high mid = floor((low + high) / 2); if arr(mid) >= target result = arr(mid); position = mid; high = mid - 1; else low = mid + 1; end end end 该算法通过调整搜索范围，最终找到大于等于目标值的第一个元素及其对应位置。