Description: 1.设计自适应信号分离器，用以从白噪声中提取周期信号。其中选取正弦信号s=sin(2*pi*t/10)为周期信号，宽带噪声信号为高斯白噪声，设置参考通道延迟为50。
2.宽带信号中的窄带干扰抑制实际上是自适应信号分离的一种应用，借助自适应信号分离器可以方便的实现窄带干扰的对消。-1. Design of adaptive signal separator, used to extract from the white noise periodic signal. The extraction of sinusoidal signals s = sin (2* pi* t/10) for periodic signals, broadband noise signal is Gaussian white noise, set the reference channel delay of 50.
2. Wideband signals in the narrow-band interference suppression is actually an application of adaptive signal separation, using adaptive signal separator can be easily achieved narrowband interference cancellation. Platform: |
Size: 1024 |
Author:wanchun |
Hits:
Description: TD-SCDMA系统联合检测中的信道估计、信道估计后处理、信道估计串行干扰消除后处理算法的源代码。其中，信道估计采用频域快速FFT法以减少运算量；后处理采用激活窗检测法，只保留激活用户的多径信息，其余置0，以达到降低干扰及噪声的目的；串行干扰消除可以消除多小区信道估计的干扰，以得到本小区的纯净信道估计结果。-TD-SCDMA system, joint detection of channel estimation, channel estimation and post-processing, channel estimation and post-processing the serial interference cancellation algorithm source code. Among them, frequency-domain channel estimation using fast FFT method to reduce computational complexity post-processing detection method used to activate windows, leaving only the active user' s multi-path information, the remaining set 0, in order to achieve the purpose of reducing interference and noise serial interference cancellation can be Multi-cell channel estimation to eliminate the interference in order to get the purity of the cell channel estimation result. Platform: |
Size: 5120 |
Author:梦 |
Hits:
Description: REMOVAL OF NOISE FROM ECG (ELECTROCARDIOGRAPHY) BY USING MATLAB.
EEG (Electroencephalograph) recording from the scalp has biological artifacts and external artifacts. Biological artifacts, which are generated, can be EMG (Electromyography) signal, EOG (Electrooculograph) signal or ECG (Electrocardiograph) signal. These artifacts appear as noise in the recorded EEG signal individually or in a combined manner. Usually physicians are misled by these noisy signals and the EEG analysis can go wrong. This paper presents noise cancellation i.e. removal of noise signal which can be either EMG, ECG or a combination of these two artifacts from the corrupted EEG signal and also signal enhancement both using recurrent learning technique. For this purpose, we have implemented the RTRL (Real Time Recurrent Learning) algorithm,
-REMOVAL OF NOISE FROM ECG (ELECTROCARDIOGRAPHY) BY USING MATLAB.
EEG (Electroencephalograph) recording from the scalp has biological artifacts and external artifacts. Biological artifacts, which are generated, can be EMG (Electromyography) signal, EOG (Electrooculograph) signal or ECG (Electrocardiograph) signal. These artifacts appear as noise in the recorded EEG signal individually or in a combined manner. Usually physicians are misled by these noisy signals and the EEG analysis can go wrong. This paper presents noise cancellation i.e. removal of noise signal which can be either EMG, ECG or a combination of these two artifacts from the corrupted EEG signal and also signal enhancement both using recurrent learning technique. For this purpose, we have implemented the RTRL (Real Time Recurrent Learning) algorithm,
Platform: |
Size: 1024 |
Author:azharuddin |
Hits:
Description: 用MATLAB实现加噪信号的消噪噪,用了三种常用方法。可直接使用。
-Using MATLAB to increase noise and signal noise cancellation noise, with three commonly used methods. Can be used directly. Platform: |
Size: 1024 |
Author:tacti |
Hits:
Description: 传统的宽带信号中抑制正弦干扰的方法是采用陷波器(notch filter),为此需要精确知道干扰正弦的频率.然而当干扰正弦频率是缓慢变化时,且选频率特性要求十分尖锐时,则最好采用自适应噪声抵消的方法.下图是用一个二阶FIR的LMS自适应滤波器消除正弦干扰的一个方案。该代码实现了以下功能：
1) 借助MATLAB画出了滤波器的误差性能曲面和误差性能曲面的等值曲线；
2） 给出了最陡下降法以及LMS算法的计算公式；
3） 用MATLAB产生了方差为0.05, 均值为0白噪音S(n)，并画出某次采样得到的波形；
4） 根据 2）中的公式，并利用 3）中产生的S(n)，在 1）中的误差性能曲面的等值曲线上叠加画出了采用最陡下降法以及LMS法时H(n)的在叠代过程中的轨迹曲线；
5）用MATLAB计算并画出了LMS法时误差随时间n的变化曲线（对应S(n)的某一次的一次实现）和e(n)波形；
6）在 1）中的误差性能曲面的等值曲线上，叠加画出采用LMS法得到的100次实验中的H(n)的平均值的轨迹曲线；
7）最终对结果进行了分析，具体见压缩包的word文档。
-Wideband signal in the conventional sinusoidal interference suppression method is the use notch filter (notch filter), this requires precise knowledge of the frequency of a sinusoidal interference . However, when the interference frequency sinusoidal changes slowly , and the selected frequency characteristic requirements are very sharp , then best use of adaptive noise cancellation method . following figure is a second-order FIR LMS adaptive filter to eliminate a program sinusoidal interference . The code implements the following functions:
A ) draw with MATLAB error performance of the filter surface and the surface contour error performance curve
2 ) gives the steepest descent method and the LMS algorithm formula
3 ) generated using MATLAB variance of 0.05 with a mean of 0 white noise S (n), and draw a particular sampling waveform
4 ) based on 2 ) of the formula , and use 3 ) generated in S (n), in a ) the error performance curves superimposed on the surface contour pl Platform: |
Size: 313344 |
Author:邵曈 |
Hits:
Search - noise cancellation using matlab