搜索资源列表
5.3.2
- 高斯噪声下粒子滤波用于机动目标跟踪的源程序，可以直接运行。-Gaussian Noise particle filter for maneuvering target tracking source, can be directly run.
5.3.3
- 闪烁噪声下粒子滤波用于机动目标跟踪的程序，可以直接运行。-Flicker noise of the particle filter for maneuvering target tracking procedures, can be directly run.
kf
- 设计过程噪声时变强跟踪自适应滤波器，估计汽车运动的瞬时速度v(t)和行走距离s(t)-Design process noise becomes strong tracking adaptive filter estimates the instantaneous speed of motor sport v (t) and walking distance s (t)
kalman
- 卡尔曼滤波器在目标追踪上的应用，目标真实运动为匀速直线运动，系统噪声为高斯白噪声。-Kalman filter for target tracking application on the target real motion is uniform motion, the system noise is Gaussian white noise.
PLL_Design-(G)
- 二阶锁相环系统的设计，有效提高信噪比，便于跟踪锁定- Second-order phase-locked loop system designed to effectively improve the signal to noise ratio, ease of tracking lock
GPS_co_test_tracking
- 仿真完成GPS信号的捕获跟踪过程，分析误码率，信噪比等因素对信号的影响-Simulation of GPS signals affect the completion of acquisition and tracking process, analyze BER, signal to noise ratio and other factors
kf_lsd
- 一种考虑观测噪声和系统噪声的滤波算法，绘制出了目标轨迹和跟踪效果、x、y轴的滤波方差、位置均方根误差和速度均方根误差。-Consider an observation noise and system noise filtering algorithm, to map out the trajectory of the target and tracking results, x, y-axis variance filtering, position and velocity RMSE roo
multipich
- 对于混合语音信号，搜索多个讲话人的Pitch，并追踪变化轨迹-This program is used for tracking multiple pitch tracks in a noisy environment. If you only want to track multiple pitch periods without significant noise, you may tune P_C2 and P_C0 in common.h. For differnt spee
background-model8
- ：基于背景建模的运动目标分割是智能视频监控的重要任务，模型的质量直接影响到检测、跟踪、识别等运动分析的准确性．当前的建模方法多是单层的，忽略了像素特征在时域和空域上的联系，模型描述不够准确，对于背景扰动、全局光照变化及复杂的室内外场景等多种情况鲁棒性不强，导致了分割中出现空洞和噪声点．针对这些问题提出了一种双层建模的方法，在第一层提取时域上的像素亮度特征采用码本建模，第二层提取邻域纹理特征采用基于中心对称的局部二值模式建模．实验证明该方法在用于运动分割时，比常用方法具有更好的准确性和鲁棒性．-M
HOMEWORK
- 用LabVIEW编制一个完整应用软件，完成以下功能： 1、产生一个正弦波，叠加一个噪声信号，从界面上可以调整噪声和信号的幅度、频率等参数，此信号作为后续分析的信号源； 2、显示信号的时域波形，点击按钮可以显示信号的幅度谱、功率谱 3、图形上可以显示光标，具有峰值跟踪功能，同时将峰值频率、幅度显示在界面上。 4、点击按钮可以计算显示信号的失真度（THD）、信噪比（SNR）、各次谐波的频率和幅度；-Preparation of a complete application using
GaussAitken
- 机动目标跟踪，GaussAitken滤波器 简谐运动物体，加性高斯噪声 Matlab程序-Maneuvering target tracking, GaussAitken filter Simple harmonic motion of objects, plus Gaussian noise Matlab program
CtrlChannelInfo
- GNSS接收机通道信息显示控件，用于.NetFramework窗体程序开发，可显示通道捕获、跟踪状态、环路锁定情况、载噪比、卫星号等信息。-GNSS receiver channel information display controls,.NetFramework form for program development, can display the channel capture, tracking state, loop lock, carrier to noise ratio, s
childSongRecording
- 基于自建数据库的音乐识别及检索软件 ； 利用Matlab开发软件, 通过抓取录入歌曲的音高(pitch tracking)绘出声音的频率变化并进行降噪和润滑（smoothing）处理 与数据库中歌曲的频率变化图比对，计算出相似度top10的歌曲并显示。 -Based on self-built of music recognition and retrieval software developed using Matlab software, change the pit
noise_estimation
- 噪声谱估计+谱减法，主要用于对比不同噪声谱估计算法的性能，包括Martin s minimum tracking algorithm，Minimum controlled recursive average algorithm (Cohen) ，variant of Minimum controlled recursive average algorithm ，improved Minimum controlled recursive average algorithm (Cohen)，cont
PDAF_01
- This code is a short demo of tracking multiple moving points in clutter and noise.
mb_ftracker
- Abstract—Several algorithms have been developed for tracking formant frequency trajectories of speech signals, however most of these algorithms are either not robust in real-life noise environments or are not suitable for real-time implementati
MATLAB-code
- 在圆轨迹上跟踪单个带电粒子受噪声影响的运动轨迹。-Tracking individual trajectories of charged particles affected by noise on the circular path.
kalman-filter
- 假设一物体围绕一圆周运动，角加速度是白噪声，观测噪声也是零均值的白噪声。编程使用卡尔曼滤波器实现运动物体的跟踪。-Suppose an object around a circular motion, the angular acceleration is white noise, measurement noise is zero mean white noise. Programming using a Kalman filter to achieve tracking moving obj
MP8126_r1.03.pdf
- The MP8126 is a voltage regulator designed to provide efficient, low-noise power to a satellite receiver’s RF LNB (Low Noise Block) converter. It connects using a coaxial cable through a link that is compatible with the European EUTELSAT sp
kf
- 对机动目标进行跟踪的卡尔曼滤波matlab程序-tracking a maneuvering target in noise