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【
matlab
】
FIR filter
DL : 0
Implementation of FIR filter in matlab
Update
: 2024-05-18
Size
: 6144
Publisher
:
demirel
【
matlab
】
filter
DL : 0
包含了一个iir滤波器和fir滤波器的设计范例(A design example containing a IIR filter and an FIR filter)
Update
: 2024-05-18
Size
: 1024
Publisher
:
HilyZ
【
Algorithm
】
Kalman filter
DL : 0
Kalman filter for object tracking
Update
: 2024-05-18
Size
: 14336
Publisher
:
kaliya
【
Algorithm
】
Kalman filter
DL : 0
卡尔曼滤波(Kalman filtering)一种利用线性系统状态方程,通过系统输入输出观测数据,对系统状态进行最优估计的算法。由于观测数据中包括系统中的噪声和干扰的影响,所以最优估计也可看作是滤波过程。 斯坦利·施密特(Stanley Schmidt)首次实现了卡尔曼滤波器。卡尔曼在NASA埃姆斯研究中心访问时,发现他的方法对于解决阿波罗计划的轨道预测很有用,后来阿波罗飞船的导航电脑使用了这种滤波器。 关于这种滤波器的论文由Swerling (1958), Kalman (1960)与 Kalman and Bucy (1961)发表。 数据滤波是去除噪声还原真实数据的一种数据处理技术, Kalman滤波在测量方差已知的情况下能够从一系列存在测量噪声的数据中,估计动态系统的状态. 由于, 它便于计算机编程实现, 并能够对现场采集的数据进行实时的更新和处理, Kalman滤波是目前应用最为广泛的滤波方法, 在通信, 导航, 制导与控制等多领域得到了较好的应用.(Kalman filtering, also known as linear quadratic estimation (LQE), is an algorithm that uses a series of measurements observed over time, containing statistical noise and other inaccuracies, and produces estimates of unknown variables that tend to be more accurate than those based on a single measurement alone, by using Bayesian inference and estimating a joint probability distribution over the variables for each timeframe. The filter is named after Rudolf E. , one of the primary developers of its theory.)
Update
: 2024-05-18
Size
: 3072
Publisher
:
yxzfrank
【
Other
】
image filter
DL : 0
image filter by mask
Update
: 2024-05-18
Size
: 262144
Publisher
:
alireza125303
【
Other
】
kalman filter
DL : 0
kalman filter的一些例子,matlab程序帮助深入了解卡尔曼滤波(some samples of kalman filter)
Update
: 2024-05-18
Size
: 1024
Publisher
:
落寞无敌
【
Documents
】
kalman filter matlab
DL : 0
系统介绍卡尔曼滤波,扩展卡尔曼滤波,无迹卡尔曼滤波。(Introducing Calman filter, extended Calman filter, and no track Calman filter.)
Update
: 2024-05-18
Size
: 38106112
Publisher
:
狂飙的兔子
【
matlab
】
filter
DL : 0
filter calculate_iou 计算图像的标签框的iou和存储为Json文件(Filter calculate_iou calculates the IOU of the label box of the image and stores it as a Json file)
Update
: 2024-05-18
Size
: 1024
Publisher
:
polonaise
【
matlab
】
median filter
DL : 0
low pass median filter
Update
: 2024-05-18
Size
: 194560
Publisher
:
Beny7
【
matlab
】
minimum filter
DL : 0
low pass minimum filter
Update
: 2024-05-18
Size
: 24576
Publisher
:
Beny7
【
matlab
】
maximum filter
DL : 0
maximum filter for image processing
Update
: 2024-05-18
Size
: 24576
Publisher
:
Beny7
【
matlab
】
Ideal Low-Pass Filter
DL : 0
Ideal Low-Pass Filter
Update
: 2024-05-18
Size
: 225280
Publisher
:
ssennaa
【
VHDL-FPGA-Verilog
】
8. FILTER
DL : 0
DIGITAL FILTER GUI matlab
Update
: 2024-05-18
Size
: 896000
Publisher
:
elkassas
【
Other
】
brainy-filter-ultimate_oc23.ocmod
DL : 0
OpenCart brainfulk filter
Update
: 2024-05-18
Size
: 227328
Publisher
:
antonz3
【
Documents
】
guided-filter-code-v1
DL : 0
guided-filter smoothing
Update
: 2024-05-18
Size
: 2187264
Publisher
:
lavender_0
【
Documents
】
Design a 24th order FIR highpass filter
DL : 0
Design a 24th order FIR highpass filter using the frequency sampling method.
Update
: 2024-05-18
Size
: 9216
Publisher
:
firdaus
【
Other
】
inverter filter
DL : 0
Documentary about inverter filter
Update
: 2024-05-18
Size
: 14974976
Publisher
:
AnhNguyen
【
Other
】
2 d fir filter design in matlab
DL : 0
2 d fir filter design in matlab
Update
: 2024-05-18
Size
: 1024
Publisher
:
choesongil
【
matlab
】
active filter
DL : 0
In this paper, an efficient active power filter (APF) scheme is developed to estimate and compensate for harmonic distortion in an electrical power network. The developed APF control scheme is based on a double proportional feedback controller and a single-phase voltage-source half-wave bridge inverter. The proposed filter uses a Multi-layer Artificial Neural Network (MLANN) with a shift method for estimating system harmonic currents and voltages at a dedicated point. The proposed scheme is tested on a 13 bus industrial distribution system. The obtained results ensure the effectiveness of the proposed filter. The system is simulated in MATLAB-Simulink and simulation results prove that the polluting harmonics have been greatly reduced.
Update
: 2024-05-18
Size
: 1906688
Publisher
:
amir1
【
Other
】
kalman filter
DL : 0
这种滤波器是将过去的测量估计误差合并到新的测量误差中来估计将来的误差。(This filter is to incorporate past measurement estimation errors into new measurement errors to estimate future errors.)
Update
: 2024-05-18
Size
: 11264
Publisher
:
huangwh66
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