搜索资源列表
GKIT
- 基于广义高斯模型的自动阈值选取(GKIT)，用于图像分割、图像分类。-GKIT：Threshold Selcetion Based on the Generalized Gaussian Models，for image segmentation and classification
MixtGaussian
- Gaussian mixture model
vdpgm.tar
- Variational Dirichlet Process Gaussian Mixture Model
walkstraight
- 利用K均值聚类的方法实现人体的检测，混合高斯模型建立背景并实时更新-The use of K-means clustering method to achieve the human body detection, Gaussian mixture model to establish the background and real-time updates
images_chapter_04
- 频域高通滤波以及所需图像，包括巴特沃斯、指数、逆高斯滤波等-Frequency-domain high-pass filtering and the required images, including Butterworth, exponential, inverse Gaussian filtering,
ParticleFilter
- 本程序是例子滤波的一个仿真程序，实现非线性非高斯的例子滤波及预测功能-This program is an example of a simulation program filtering to achieve an example of nonlinear non-Gaussian filtering and prediction
GMM_RGB
- 基于混合高斯的运动目标检测的跟踪！修改后可以使用。-Gaussian mixture-based tracking of moving target detection! Modifications can be used.
IGMM
- 基于混合高斯的运动目标检测程序已经相应的文章！非常值得借鉴！-Gaussian mixture-based moving object detection procedures have been the appropriate article! Well worth learning!
MATLAB_Medical_Image_Process_Experiments
- MATLAB医学影像处理实验(内含14个原代码及教学的说明) (1)Plot a sine function using MATLAB, and write the data into a file (2)Read data from a file, plot a SINC function, and append the result back to the same file (3)Plot a Gaussian distribution using MATLAB (4)Fo
GMM
- :高斯混合模型(GMM)是一种经典的说话人识别算法，本文在实现其算法的同时，主要模拟了不同噪声环境情况下高斯混合模型 (GMM)的杭嗓声性能，得到了一些有益结论。 -Gaussian mixture model (GMM) is a classic speaker recognition algorithms, this algorithm at the same time in fulfilling its main simulated environmental conditions
ofdm1
- 利用卷积编码和BPSK调制方式，关于高斯白噪声信道下信噪比与比特误码率关系的Simulink仿真-The use of convolutional coding and BPSK modulation on the Gaussian white noise channel ,the relationship between SNR and bit error rate using Simulink simulation
lugui
- 利用高斯消去法求矩阵LU分解的matlab源代码-Gaussian elimination demonstration.
log_spec_super_gaussV1_1
- Toolbox for log-spectral magnitude MMSE estimators under super-Gaussian densities.
ww
- 本论文以OFDM系统为基础，介绍了OFDM系统的基本原理，以及使用OFDM技术的优势所在，并且展望了今后的无线移动技术的发展前景。在简单介绍OFDM原理的同时，着重阐述了OFDM系统在不同信道环境和不同实现方式下的误码性能。主要包括了OFDM系统在加性白高斯信道，在加性白高斯信道和多径干扰两种不同信道环境下系统的误码性能，其中后者还研究了系统在有保护间隔与无保护间隔的误码性能比较。在理论分析的基础上，用MATLAB进行仿真，最后做出误码性能的分析和比较。 -This paper has OFDM
gaosimohu
- 这时高斯模糊的源码，对做图像盲复原的同学可以参考-Then Gaussian blur of the source, to make the image blind restoration of the students can refer to the
GaussianPyramid
- 对灰度图像建立高斯金字塔，可以调整核的参数。-Establish Gaussian pyramid for gray-scale images to , you can adjust the reduce parameters.
gaussianFFT
- This a matlab code for fast fourier transformation using gaussian filter-This is a matlab code for fast fourier transformation using gaussian filter
skinmodel
- 基于高斯肤色模型检测肤色，可用于人脸检测-based gaussian skin model detect skin can be used face detect
hosa_d
- 对于一个随机的非高斯信号或者一个确定信号有很多的信息（远不止功率谱...）。本工具用来分析高阶谱和时频分布。-For a random signal or a set of non-Gaussian signals have a lot of information (far more than the power spectrum ...)。 This tool is used to analyze higher-order spectra and time-frequency distrib
8psk
- 1、 产生等概率且相互独立的二进制序列，画出波形； 2、产生均值为0，方差为1的加性高斯随机噪声； 3、进行8PSK调制，画出波形； 4、进行蒙特卡罗分析； 5、解调8PSK，画出眼图。-1、Produce equal probability and independent of each other binary sequence, draw waveform 2、Generate mean 0, variance 1 of the additive Gaussian ra