Description: 限副滤波，中位值滤波法，3、算术平均滤波法，4、递推平均滤波法（又称滑动平均滤波法）-vice limited filtering, and the median value filter, 3, the arithmetic average filter, 4, the average recursive filtering method (also known as the moving average filter). Platform: |
Size: 5120 |
Author:李天华 |
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Description: 数字信号处理的应用之一是从含有加性噪声的信号中去除噪声。现有被噪声污染的信号x[k]=s[k]+d[k],式中： 为原始信号d[k]为均匀分布的白噪声。
（1）分别产生50点的序列s[k]和白噪声序列d[k],将二者叠加生成x[k],并在同一张图上绘出x0[k],d[k]和x[k]的序列波形。
（2）均值滤波可以有效去除叠加在低频信号上的噪声。已知3点滑动平均数字滤波器的单位脉冲响应为h[k]=[1,1,1 k=0,1,2],计算y[k]=x[k]*h[k],在同一张图上绘出前50点y[k],s[k]和x[k]的波形，比较序列y[k]和s[k]。
-digital signal processing applications from one containing additive noise signal denoising. Existing noise pollution was a signal x [k] = s [k] d [k], where : of the original signal d [k] uniform distribution of white noise. (1) have 50 points each sequence s [k] and white noise sequence d [k] superposition of the two generation x [k] and the same is likely to draw a map x0 [k] d [k] and x [k] waveform sequence. (2) mean filter can effectively remove superimposed on the low-frequency noise on the signal. 3:00 known moving average digital filter unit for pulse response h [k] = [k = 0,1,2 1,1,1] Calculation y [k] = x [k]* h [k], the same is likely to draw a map before 50 y [k] s [k] and x [k] waveform sequence comparison y [k] s and [k]. Platform: |
Size: 28672 |
Author:魏臻 |
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Description: 卡尔曼滤波程序，两变量滤波；正弦信号跟踪；卡尔曼差分到状态方程的转换；卡尔曼同滑动平均比较-Kalman filtering process, the two variable filter sinusoidal signal tracking Kalman differential equation of state of the conversion Kalman compared with moving average Platform: |
Size: 5120 |
Author:姚赛金 |
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Description: - 1、限幅滤波法（又称程序判断滤波法） 2、中位值滤波法 3、算术平均滤波法 4、递推平均滤波法（又称滑动平均滤波法） 5、中位值平均滤波法（又称防脉冲干扰平均滤波法） 6、限幅平均滤波法 7、一阶滞后滤波法 8、加权递推平均滤波法 9、消抖滤波法 10、限幅消抖滤波法 -- 1, limiting filtering method (also known as filtering method to determine the procedure) 2, the median filtering method 3, the arithmetic average filtering method 4, the average recursive filtering method (also known as the moving average filtering method) 5, with a median value of the average filter Act (also known as anti-pulse interference average filtering method) 6, limiting the average filtering method 7, the first order lag filtering method 8, the weighted average recursive filtering method 9, extinction Buffeting filtering method 10, limiting consumer Buffeting filtering method Platform: |
Size: 1024 |
Author:張治國 |
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Description: Sliding Sum Averaging Filter
Smoothes data by sliding it past itself, one sample at a time, and summing.
The length of the output is the same as the length of the input. The output
will be normalized. Equivalent to a moving average (lowpass) filter, but
more efficient. Platform: |
Size: 1024 |
Author:W² |
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Description: NDNANFILTER N维零相位数字滤波器，忽略NaN的。
短语法：
[年，钨] = ndnanfilter（十，HWIN，女）
短输入：
X - 有/无NaN的多维数据。
HWIN - 窗口的名称（默认情况下移动平均的Nd： rectwin ）。
的F - 向量指定为每个维窗口半宽度。
短暂输出：
Ÿ - 过滤/平滑X数据与零相移（如X!一样大小）。
W - N维是通过一种特殊的子函数生成的中心对称的窗口称为NDWIND。
简短描述：
此功能适用于一对X与W N维卷积，利用MATLAB的IMFILTER或CONVN功能，忽视/插值/灌装NaN的。
默认情况下，边缘与在与PADARRAY MATLAB的函数的边界的X值填充。当PADARRAY没有找到，该程序执行零填充。
简短说明：
*见截图。-NDNANFILTER N-dimensional zero-phase digital filter, ignoring NaNs.
SHORT SYNTAX:
[Y,W] = ndnanfilter(X,HWIN,F)
SHORT INPUT:
X- Multidimensional data with/without NaNs.
HWIN- Window s name (N-D moving average by default: rectwin ).
F- Vector specifying the semi-width of the window for each dimension.
SHORT OUTPUT:
Y- Filtered/smoothed X data (same size as X!) with zero phase shift.
W- N-dimensional window with central symmetry generated by a special subfunction called NDWIND.
SHORT DESCRIPTION:
This function applies a N-dimensional convolution of X with W, using the MATLAB s IMFILTER or CONVN function, ignoring/interpolating/filling NaNs.
By default, the edges are padded with the values of X at the borders with the PADARRAY MATLAB s function. When PADARRAY is not found, the program performs zero-padding.
SHORT NOTE:
* See the screenshot.
Platform: |
Size: 6144 |
Author:namind |
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Description: 一个基于Matlab/Simulink建模的算法:Trigger. Trigger使用移动平均和匹配滤波器对原始信号进行噪声处理和信号峰值提取，并验证原始信号的正确性。Trigger使用M-code实现，并且使用S-function封装到Simulink中。-An algorithm based on Matlab/Simulink modeling: Trigger. Trigger moving average and the matched filter noise processing and signal peak extraction of the original signal, and verify the correctness of the original signal. Trigger M-code implementation, and encapsulated in the Simulink S-function. Platform: |
Size: 1441792 |
Author:ylh |
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Description: This Matlab program filters the baseline drift in ECG signals using different techniques:
- median filtering
- moving average filtering
- first order Kalman Smoother Filter
- first order zero-phase Lowpass filter
- Bandpass filter using FFT filtering Platform: |
Size: 2164736 |
Author:Vessika |
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Description: 数据光滑matlab 2015a下运行。绘制源数据和光滑数据曲线，数据保存到EXECL文件。-Savitzky-Golay filter. A generalized moving average with filter coefficients determined by an unweighted linear least-squares regression and a polynomial model of specified degree (default is 2). The method can accept nonuniform predictor data. Platform: |
Size: 428032 |
Author:ht tao |
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Description: 设计音频降噪算法，并用MATLAB仿真实现。
1）读入一段音频后添加噪声，必须包括两种不同的噪声，信噪比：0dB~10dB；
2）分别采用滑动平均滤波器，直接频域滤波，以及谱分析后设计滤波器滤波三种方法实现，并对比效果。
3）给出各种方案的设计依据、代码、频响曲线，以及输入输出对比图。-Audio noise reduction algorithm design, and use MATLAB Simulation.
1) Read after adding noise into an audio, it must include two different kinds of noise, SNR: 0dB ~ 10dB
2) respectively moving average filter directly in the frequency domain filtering, and the filter is designed to achieve three methods filter after spectral analysis and contrast.
3) Give the design basis, code, frequency response curve, and input and output comparison chart of the various programs. Platform: |
Size: 1024 |
Author:Zhou Hong |
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Description: 数字信号处理技术之移动平均滤波器的设计（The Scientist and Engineer's Guide to Digital Signal Processing）(Digital signal processing technology, mobile average filter) Platform: |
Size: 149504 |
Author:flyskar |
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Search - moving average filter matlab