Description: This paper addresses the issues relating to the
enforcement of robust stability when implementing the Adaptive
Inverse Control (AIC) scheme. In this scheme, an adaptive
FIR filter is added to a closed-loop system in order to
reduce the output error caused by external disturbances,
enhancing the performance achieved by linear time-invariant
controllers alone.-This paper addresses the issues relating to theenforcement of robust stability when implementing the AdaptiveInverse Control (AIC) scheme. In this scheme, an adaptiveFIR filter is added to a closed-loop system in order toreduce the output error caused by external disturbances, enhancing the performance achieved by linear time-invariantcontrollers alone. Platform: |
Size: 421888 |
Author:rifer |
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Description: 本函数包括三个例程 一个图像去噪（椒盐） 一个寻找图像中特定方向的直线 一个自己写的图像线形过滤-this function include a three routines image denoising (Impulse) looking for a specific image in the direction of a straight line since Image has written linear filter Platform: |
Size: 145408 |
Author:guozhi |
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Description: 给于MATLAB 环境下的非线性滤波器。此设计中用到了，混合网络建模。B样条网络和对角递归神经元网络。-In the MATLAB environment to the non-linear filter. This design used a mixed network modeling. B-spline network and on the diagonal recurrent neural network. Platform: |
Size: 8192 |
Author:庞宇 |
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Description: 该程序描述了二阶锁相环的环路滤波器的设计和线性模型分析-The program describes the second-order PLL loop filter design and linear model analysis Platform: |
Size: 1024 |
Author:vie |
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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: 现代通信系统书籍底八章仿真程序，很好的程序，初学习这很好的教材-The Slepian-Wolf (SW) cooperation proposed in [1] is probably the first practical cooperative
scheme that implements the idea of compress-and-forward. Through the exploitation of efficient
distributed source coding (DSC) technology, the authors of [1] demonstrate the effectiveness of
Slepian-Wolf cooperation in combating inter-user channel outage in wireless environment. In this
paper, we discuss the general framework of Slepian-Wolf cooperation using the two most popular
DSC technologies: the binning/syndrome approach and the parity approach. We show that the
latter is particularly useful in SW cooperation, since it is conceptually simpler, provides certain
performance advantages, and enables any (system) linear channel code to be readily exploited.
Examples using convolutional codes, low-density generator-matrix codes and low-density paritycheck
codes are demonstrated and practical algorithms for estimating the source-relay correlation
and for decoding the compound packets Platform: |
Size: 9216 |
Author:史志举 |
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Description: 英文文献，详细介绍了应用Matlab编写非线性滤波器的软件工程方法。对于想利用matlab作为工具解决滤波问题的同僚们有很大帮助。-English documents, which presents how to design the non-linear filter with matlab. Very praticle to those who are eager to solve filter problems with matlab. Platform: |
Size: 948224 |
Author:丁海洋 |
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Description: 印度GURUNANAK ENGINEERING COLLEGE数字信号处理实验室的DSP+c+Matlab联合编程手册-DIGITAL SIGNAL PROCESSING LAB (IV-I SEM)
INDEX
1. Architecture of DSP chips-TMS 320C 6713 DSP Processor
2. Linear convolution
3. Circular convolution
4. FIR Filter (LP/HP) Using Windowing technique
a. Rectangular window
b. Triangular window
c. Kaiser window
5. IIR Filter(LP/HP) on DSP processors
6. N-point FFT algorithm
7. Power Spectral Density of a sinusoidal signals
8. FFT of 1-D signal plot
9. MATLAB program to generate sum of sinusoidal signals
10. MATLAB program to find frequency response of analog Platform: |
Size: 1582080 |
Author:wangjin |
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Description: A similar non-linear filter with slightly different properties is the mode filter which replaces each pixel with the mode of its neighboring pixels. I additionally make a slight modification so that “bad” pixels are ignored entirely in the computation of the mode.
Platform: |
Size: 26624 |
Author:宁之林 |
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Description: Example of a two-dimensional Gabor filterIn image processing, a Gabor filter, named after Dennis Gabor, is a linear filter used for edge detection. Frequency and orientation representations of Gabor filter are similar to those of human visual system, and it has been found to be particularly appropriate for texture representation and discrimination. In the spatial domain, a 2D Gabor filter is a Gaussian kernel function modulated by a sinusoidal plane wave. The Gabor filters are self-similar – all filters can be generated from one mother wavelet by dilation and rotation
Platform: |
Size: 7168 |
Author:Real1 |
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Description: 粒子滤波算法；粒子滤波算法源于Montecarlo的思想，即以某事件出现的频率来指代该事件的概率。因此在滤波过程中，需要用到概率如P(x)的地方，一概对变量x采样，以大量采样的分布近似来表示P(x)。因此，采用此一思想，在滤波过程中粒子滤波可以处理任意形式的概率，而不像Kalman滤波只能处理高斯分布的概率问题。他的一大优势也在于此。-these codes are particle filter resources codes which solve non-linear estimation problems.I wish that it is helpful to some people.I am glad to share it with others.
Platform: |
Size: 1024 |
Author:lixiangyang |
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Description: 包含各种自适应滤波程序，线性、非线性，FIR及IIR,matlab实现-Program includes a variety of adaptive filtering, linear, nonlinear, FIR and IIR, matlab implementation Platform: |
Size: 138240 |
Author:wah |
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Description: MATLAB codes for adaptive filtering using least mean square, nominal LMS and Wiener filter using forward linear prediction and backward linear prediction. Platform: |
Size: 176128 |
Author:MHQ
|
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Description: 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。(Kalman filtering, Kalman filtering) a system of linear equation of state, through the system input and output data, the optimal estimation of the system state is presented.Due to the observation data are included in the system the influence of the noise and interference, so the optimal estimate can be regarded as filtering process.) Platform: |
Size: 1024 |
Author:子木李
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