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mybss
- 盲信号分离是当前信号处理研究的热点课题之一,在无线数据通信、医学、语音以及地震信号处理等领域有着广阔的应用前景。基于负熵最大的FastICA算法用于实现盲信号分离。该方法的基本思路是以非高斯信号为研究对象,在独立性假设的前提下,对多路观测信号进行盲源分离。在满足一定的条件下,能够从多路观测信号中,较好地分离出隐含的独立源信号。
ICA
- 基于负熵最大的独立分量分析算法,可以将独立的混合信号分离-Based on the negative entropy of the largest independent component analysis algorithm can be a separate mixed-signal separation
main
- 最大熵方法 最小方差以及MUSIC算法对信号DOA进行估计,分别对相干信源和独立信源进行仿真效果分析-Maximum entropy method and the MUSIC algorithm for minimum variance to estimate the signal DOA, respectively, of coherent sources and independent sources for analysis of simulation results
twodimen
- 利用matlab,实现二维最大熵的算法,对红外图形进行处理。-Using matlab, two-dimensional maximum entropy algorithm, infrared graphics processing.
erweiyujiaocha
- 交叉熵与二维最大熵结合的算法,很有用处,效果较好。-Cross entropy combined with two-dimensional maximum entropy algorithm, useful, better.
zuidashang
- 利用二维最大熵算法实现对红外图像的处理,此方法对某些图片效果较好。-D maximum entropy algorithm for infrared image processing, this method has some better pictures.
BAOCUN
- 在坐标轴2上,针对二值图像进行分水岭算法的分割以及最大熵阈值算法的分割,并将分割出的部分显示在坐标轴3上。-Axis for the binary image segmentation of the watershed algorithm and maximum entropy threshold algorithm split, and the split part is displayed in the axis 3.
sizhong
- 四种传统算法进行DOA估计,前后向线性预测、最大熵、最小模-Four traditional DOA estimation algorithm, the forward and backward linear prediction, maximum entropy, minimum norm
mysegment
- 我自己编写的基于遗传算法的一维最大熵KSW阈值分割代码。-I have written the one-dimensional maximum entropy threshold segmentation based on genetic algorithm KSW code.
matlab
- 基于yule_walker,burg,协方差,改进协方差,最大熵方法这五种算法的matlab程序,并且是一个周期正弦信号与高斯白噪声的模型-Yule_walker, burg, covariance, improved covariance method of maximum entropy algorithm matlab these five programs, and is a periodic sinusoidal signal with Gaussian white noise mod
Traditional_histogram
- 基于直方图最大熵的目标提取算法,打包文件里含有完整的matlab程序,还有运行时的标准图片-Histogram extraction algorithm based on maximum entropy objective, packed file contains the complete matlab procedures, standards, as well as run-time images
ICA-matlab
- ICA算法的研究可分为基于信息论准则的迭代估计方法和基于统计学的代数方法两大类,从原理上来说,它们都是利用了源信号的独立性和非高斯性。一般情况下,所获得的数据都具有相关性,所以通常都要求对数据进行初步的白化或球化处理,因为白化处理可去除各观测信号之间的相关性,从而简化了后续独立分量的提取过程,然后再用基于负熵最大的FastICA算法,即可对图像及信号进行解混。-ICA algorithm research can be divided into iterative estimation meth
ccfxmjmu
- 基于负熵最大的独立分量分析,信号处理中的旋转不变子空间法,单径或多径瑞利衰落信道仿真,含噪脉冲信号进行相关检测,ICA(主分量分析)算法和程序。- Based on negative entropy largest independent component analysis, Signal Processing ESPRIT method, Single path or multipath Rayleigh fading channel simulation, Noisy pulse corr
thsnfhik
- 基于负熵最大的独立分量分析,信号处理中的旋转不变子空间法,包含CV、CA、Single、当前、恒转弯速率、转弯模型,脉冲响应的相关分析算法并检验,是路径规划的实用方法。- Based on negative entropy largest independent component analysis, Signal Processing ESPRIT method, It contains CV, CA, Single, current, constant turn rate, turning
eetnemyi
- 最小二乘回归分析算法,课程设计时编写的matlab程序代码,微分方程组数值解方法,基于负熵最大的独立分量分析,复化三点Gauss-lengend公式求pi。- Least-squares regression analysis algorithm, Course designed to prepare the matlab program code, Numerical solution of differential equations method, Based on negative en
ravemrdx
- 借鉴了主成分分析算法(PCA),基于负熵最大的独立分量分析,含噪脉冲信号进行相关检测,数据模型归一化,模态振动,通过反复训练模板能有较高的识别率。- It draws on principal component analysis algorithm (PCA), Based on negative entropy largest independent component analysis, Noisy pulse correlation detection signal, Normalize
wcvhpxuf
- 到达过程是的泊松过程,各种资源分配算法实现,构成不同频率的调制信号,基于负熵最大的独立分量分析,最终的权值矩阵就是滤波器的系数,数据模型归一化,模态振动,真的是一个好程序。- Arrival process is a Poisson process, Various resource allocation algorithm, Constituting the modulated signals of different frequencies, Based on negative entrop
yujnmqdi
- 通过反复训练模板能有较高的识别率,供做算法研究人员参考,多元数据分析的主分量分析投影,多目标跟踪的粒子滤波器,验证可用,用于图像处理的独立分量分析,基于负熵最大的独立分量分析。- Through repeated training hjfpXsElate have higher recognition rate, Algorithm for researchers to do reference, Principal component analysis of multivariate data
抗差加权函数对比
- 测量粗差中抗差滤波算法加权函数的对比,程序能够运行,函数对比结果画图呈现。(weighting function comparison in robust filter.)
基于信息熵最大的图像分割研究
- 针对数字图像利用信息熵标准结合阈值迭代法进行图像分割,以提高图像分割的准确性。设计信息熵算法并程序实现,仿真结果表明编写程序有效,分割效果明显。(this thesis makes a research on the image segmentation technique which is the combination of standard information entropy and Iteration threshold.Meanwhile this thesis designs e