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voice_activity_detection
- 传统的有声无声检测方法只能在相对安静的环境下（<20dB）进行。因此传统方法不能满足噪声环境下的检测要求；另一方面，一直以来，单通道语音增强没有取得突破性进展，一个很重要的原因是没有找到高效的有声无声检测方法。研究了一种有声/无声检测算法是根据信号低频带、高频带短时能量包络的动态变化范围来判别噪声和含噪语音。对每一帧输入信号，通过与预先设定的一系列门限值比较来判断该帧是信号帧还是噪声帧。本设计使用了这种检测方法，选用北京瑞泰创新科技有限公司开发CETECK-VC33-D板，配合自己制作的前
kalman
- 卡尔曼滤波算法，用于各类数据信息的过滤 ，能够得到比较好的结果。在此基础上进行了改进 -Kalman filter algorithm, for various types of data filtering, can be relatively good results. On this basis improved
IMM3-Kalman
- 3模型、2模型的交互多模型算法与普通卡尔曼滤波算法在跟踪机动目标的时候的性能比较-3 models, 2 models of interactive multi-model algorithm and the ordinary Kalman filter algorithm in maneuvering target tracking performance when compared
8888899999122322
- 频域实现图像的滤波是一种比较好的滤波办法，采用了求平均值等算法-Implementation of frequency-domain image filtering is a relatively good filtering approach such as used for the average algorithm
lms
- 在MATLAB下实现了自适应滤波算法，包含两种不同的算的比较-In the MATLAB achieve adaptive filtering algorithm, including comparison of two different operators
Adaptivefilter
- 自适应滤波器，算法比较简单，要求高的就不适合了，适合一般大学生试验用-Adaptive filter algorithm is relatively simple, and high requirements are not appropriate for college students in general experimental
GPSorbit
- 程序主要包括：1．MyInit.m 数据初始化 输出参数： XTrueZ 目标真实轨迹 Z0 目标观测值 T 采样周期 Q 系统误差阵 DeltaR 距离误差 DeltaSita 方位角误差 DeltaBeta 俯仰角误差 totaltime 运动时间 montimes 蒙特卡罗仿真次数 2． EKF.m [Z1]= EKF Z1: 输出EKF滤波后结果 3. CMKF.m [Z2]= CMKF Z2: 输出CMKF滤波后结果
main
- 此代码在opencv下对各种滤波和边缘算法的比较与实现，同时滤波算法还加入了自己实现的东南大学一位博士生的自动检测噪声（高斯和脉冲）并处理的算法。-This code in opencv under various filtering and edge algorithm comparison, at the same time filtering algorithm also joined Southeast University, a doctoral student realize his
zishiyinglvb
- 自适应滤波算法，亲自检测可以运行的，比较入门，欢迎各位下载-Adaptive filtering algorithm personally testing can run more entry, welcome you to download
gamma
- Gamma滤波算法，是比较简单直白的滤波算法，适合初学，可以自己做修改-Gamma filtering algorithm is relatively straightforward filtering algorithm, suitable for beginners, you can make changes to their own
3-d
- 四种高斯滤波算法的比较：EKF、UKF、QKF和CKF-Comparison of four Gaussian filtering algorithm: EKF, UKF, QKF and CKF
kf
- 基本的滤波程序比较，用于帮助初学者尽快掌握算法流程-Basic filtering procedure is designed to help beginners master algorithm flow as soon as possible
work
- 基本的卡尔曼滤波算法，对于初学卡尔曼滤波的来说比较容易看懂-kalman fitler
EKF_UKF_PF
- EKF_UKF_PF三种算法的比较粒子滤波matlab仿真程序EKF_UKF_PF三种算法的比较matlab仿真程序-realization of EKF_UKF_PF
GPC_alpha
- 广义预测控制算法MATLAB仿真程序，比较不同输入滤波系数时控制效果 -Generalized predictive control algorithm MATLAB simulation program, when comparing the effects of different control input filter coefficients
lms
- LMS自适应滤波算法，用matlab实现的，注释详细，通俗易懂(LMS adaptive filtering algorithm, achieved by MATLAB, annotated in detail, easy to understand.)
D-OA
- 卡尔曼滤波算法实现数据融合，多传感器数据融合，文件比较大，但是可以参考使用(Calman filtering algorithm achieves data fusion, multi-sensor data fusion, and the file is relatively large, but it can be used for reference.)
EKF_comparison
- 几种扩展卡尔曼滤波的性能比较。 详细算法推导与仿真参数参考论文： A Comparison of Recursive Style Angle-only Target Motion Analysis Algorithms(A Comparison of Recursive Style Angle-only Target Motion Analysis Algorithms)