资源列表
MRANDOM
- 用来产生均匀分布或高斯分布的伪随机数u（n）（近似白噪声），它们可具有不同的均值和方差
KPCA
- 为解决PCA不适合多指标综合分析中非线性主成分分析的问题 ,采用核主成分分析 (kpca)方法 ,对我国不同地区 16种腐乳的品质进行了综合评价。 -PCA is not suitable to address the many indicators of a comprehensive analysis of non-linear principal component analysis of the problem, using Kernel Principal Component An
KPCAimplementation
- kpca实现，目前kpca最为简介的程序，算法实现简单-kpca implementation, the current most kpca brief introduction of the procedure, the algorithm implementation easy
Drawings
- 实现了各种图形的绘制；包括基本图形的绘制和图形的组合、剪切并绘制；简单易懂，供初学者使用；-To achieve a variety of graphics rendering include basic graphics drawing and graphics combination of shear and draw easy to understand for beginners to use
dsdf
- 使用matlab、图像的显示（灰度图像、彩色图像、动态图像）、图像格式、图像压缩和图像的基本操作（图像反转和直方图均衡）-Using matlab, image display (grayscale image, color images, dynamic images), image format, image compression and image of the basic operations (image reversed, and histogram equalization)
Pdelay_ekf_nou
- 带时延的纯方位角单站跟踪算法,它有效地解决了用EKF算法进行纯纯方位角跟踪时可能出现的不稳定和滤波发散现象和声音信号的时延问题。 -Single station with the delay of pure azimuth tracking algorithm, which effectively solve the delay problem of the innocent azimuth tracking EKF algorithm that may occur when unstabl
linear_regression
- 自适应的病态非病态线性回归方程求取函数，输入数据矩阵X和显著性水平alph-Adaptive Morbid Morbid Linear regression equation strike function, the input data matrix X and the significant level of alph
Texture
- 二维图形的纹理特征提取，简单易行的图像处理，对于初学者非常实用。 -Texture feature extraction of two-dimensional graphics, simple image processing, very useful for beginners.
stft
- 里面包括短时傅里叶变换谱，倒谱平滑等，这些代码广泛用于，语音说话人识别，语音增强，雷达，声呐，图像等领域-Including short-time Fourier transform spectrum, cepstrum smooth, etc., are widely used in the code, voice speaker recognition, speech enhancement, radar, sonar, image, etc
pgr7
- scaling triangle using scaling transformation algorithm
yuzhi
- 图像滤波，二值化，在飞思卡尔k60内核上，方差滤波-Image filtering, binarization, at the Freescale k60 core, variance filter
Low-pass-filter
- 借助频域处理技术编程去掉图像中的条纹,中值滤波-By means of frequency domain processing programming to remove stripe in the image