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5.3 维纳滤波法
- 利用维纳滤波的方法进行语音信号的降噪处理，适用于语音增强领域(The denoising processing of speech signal by Wiener filtering is suitable for the domain of speech enhancement)
1025 边缘保持中值滤波
- 边缘保持中值滤波 对于此滤波算法进行了matlab编程(Edge preserving median filtering)
线性滤波
- 利用c++编程语言实现数字图像的线性滤波(Linear filtering of images)
十大滤波算法
- 十大滤波算法，解决基本数值处理和参数整定(Ten large filtering algorithms to solve basic numerical processing and parameter tuning)
单片机进行数字滤波
- 单片机进行数字滤波 Digital filtering by single chip microcomputer(Digital filtering by single chip microcomputer)
粒子滤波
- 用于多参数的粒子滤波，适用于预测和拟合。(A particle filter for multiple parameters.)
卡尔曼滤波代码
- 卡尔曼滤波采集GY-VL53L0X资料 激光数据采集(GY-VL53L0X data acquisition of laser data)
《卡尔曼滤波原理及应用-MATLAB仿真》程序.part01
- 卡尔曼滤波是最常用的滤波算法，在信号处理中经常用到(Kalman filter is the most commonly used filtering algorithm, which is often used in signal processing.)
10种简单的数字滤波C语言源程序算法
- 10种简单的数字滤波C语言源程序算法:1、限副滤波,2、中位值滤波法,3、算术平均滤波法(A simple digital filter C language source program algorithm)
Kalman滤波原理及源码(matlab)
- 这里上传的是：Kalman滤波原理及源码(matlab)，希望对大家有用。(Here is uploaded: Kalman filtering principle and source code (matlab), I hope to be useful to everyone.)
xs128—卡尔曼滤波（非矩阵）程序
- 卡尔曼滤波，矩阵，飞思卡尔智能车，直立，参考代码(Calman filter, matrix, flying Carle smart car, erect, reference code)
类似于时域滤波，天线方向图是最优权的傅立叶变换
- 类似于时域滤波，天线方向图是最优权的傅立叶变换(Similar to the time domain filtering, the antenna pattern is the optimal Fu Liye transform)
卡尔曼滤波
- 两轮平衡车，卡尔曼滤波算法保证小车平衡运行，已验证(The two wheeled balancing vehicle, Calman filter algorithm ensures the balanced operation of the car, has been verified)
心电图滤波
- 利用低通、带阻FIR以及IIR技术对心电图上附加的白噪声、高斯噪声等进行滤波还原操作（内附心电图数值样品）。(We use low-pass, band stop FIR and IIR technology to filter and restore the additional white noise and Gauss noise on ECG.)
滤波
- 三维点云数据的六种滤波方法以及应用实例解析(point cloud source code)
卡尔曼滤波，角度换算
- 飞思卡尔K60芯片，实现对mpu6050陀螺仪的简单卡尔曼简单滤波(Kalman simple filtering)
粒子滤波原理应用程序
- 粒子滤波原理和相关源程序，方便初学者学习(The principle of particle filter and the related source program are convenient for beginners to learn)
《卡尔曼滤波原理及应用-MATLAB仿真》程序
- 本书主要介绍数字信号处理中的 Kalman 滤波算法及在相关领域 应用的相关内容。全书共 7 章组成。(This book mainly introduces the Kalman filtering algorithm in digital signal processing and its related fields .The relevant content of the application. The whole book consists of 7 chapters.)
高斯滤波
- 可以实现对一维数据的高斯滤波操作，自定义窗口尺寸、标准差等参数(realize the Gaussian filtering in one-dimensional data, you can identify custom window size, standard deviation and other parameters)
滑动窗口滤波
- 进行平滑滤波编码分析得到接近真实值的参数(Smooth filtering to solve the problem of unstable sampling value after single sampling)