搜索资源列表
7-djvu-9812381511
- This book focuses on Least Squares Support Vector Machines (LS-SVMs) which are reformulations to standard SVMs. LS-SVMs are closely related to regularization networks and Gaussian processes but additionally emphasize and exploit primal-dual interpret
gaosizaosheng
- 高斯白噪声的FPGA实现文档,讲解的比较全面。-FPGA Implementation of Gaussian white noise documents, a more comprehensive explanation.
awgn
- TMS320C6713 DSK AWGN function for DSP on board program using gaussian noise
20110301151907
- :为解决现有视频监控系统中目标检测算法无法应付复杂的室外环境且计算量和存储量较大等问题,将像素从RGB 空间转换到YUV 空间建立基于码本的背景模型,并单独对每个码字中的亮度分量进行高斯建模,提取运动目标的轮廓后,用连通区域算法对图像进行形态 学处理。典型测试序列和ROC 数据的对比实验结果证明该算法是高效和实用的,且易于在DSP 或FPGA 等嵌入式系统上实时实现。-】In order to solve the problems that the existing motion det
dsp
- 应用快速傅里叶变换对信号进行频谱分析,其中包括高斯序列、正弦序列、衰减正弦序列、三角波序列、反三角序列。绘出其时域,频域波形。有详细的标注!-Application of fast Fourier transform spectral analysis of signals, including the Gaussian sequence, sine series, sine decay sequence, triangular wave sequence, the anti-triangula
zhuchengFFT
- 应用快速傅里叶变换对信号进行频谱分析,其中包括高斯序列、正弦序列、衰减正弦序列、三角波序列、反三角序列。绘出其时域,频域波形。有详细的标注!-Application of fast Fourier transform spectral analysis of signals, including the Gaussian sequence, sine series, sine decay sequence, triangular wave sequence, the anti-triangula
gao
- 应用快速傅里叶变换对信号进行频谱分析,其中包括高斯序列。绘出其时域,频域波形。有详细的标注!-Application of fast Fourier transform spectral analysis of signals, including the Gaussian sequence. Plotted the time domain and frequency domain waveforms. Detailed mark! ! !
dsp2
- 应用快速傅里叶变换对信号进行频谱分析,其中包括高斯序列、正弦序列、衰减正弦序列、三角波序列、反三角序列。绘出其时域,频域波形。有详细的标注!-Application of fast Fourier transform spectral analysis of signals, including the Gaussian sequence, sine series, sine decay sequence, triangular wave sequence, the anti-triangula
gau66
- 高斯算法方面的文档,非常详细的设计流程,真的很不错哦,有机会合作-Gaussian algorithm documentation, very detailed design process, really good, oh, there are opportunities for cooperation.
pixel_mat
- 像素更新的文档,主要用于高斯应用的场合,非常的稳定,而且设计方面时钟非常好-Pixels updated documentation for the occasion of the Gaussian application is very stable and very good design clock..
GM00
- 属于高斯算法的顶层文件,包含了很多的模块,以及噪声的消除等,把算法的流程很清楚的列出来-Gaussian algorithm for top-level file contains a lot of modules, as well as noise cancellation, the process of the algorithm clearly listed..
GaussSmooth
- DM642平台上的双缓冲结构的高斯平滑滤波源码。-Gaussian smoothing filter source code for double buffering on the DM642 platform structure
GaussSmoothPthreshold
- DM642平台上的高斯平滑滤波加阈值分割。-Gaussian smoothing filter on the DM642 platform and threshold segmentation.
GaussSmooth
- 图像平滑(高斯模板),基于TMS320DM643平台,采用RF5框架,3个任务模块-In the image smooth (gaussian template), based on TMS320DM643 platform, the RF5 framework, three task modules
Schmidl_Cox_for_ieee80211a
- 基于IEEE802.11a协议,OFDM加高斯白噪声的符号定时同步,Schmidl_Cox算法仿真代码-Based on IEEE802.11a protocol, the OFDM plus Gaussian white noise symbol timing synchronization, Schmidl_Cox algorithm simulation code
Statistical-Signal-Processing
- 随机信号处理实验,VC编程实现。(1)、产生(0,1)均匀分布随机数,期望,方差,概率密度统计 (2)、产生(0,1)高斯分布随机数,期望,方差,概率密度统计 (3)、2组独立的(0,1)均匀分布随机数做和后的概率密度统计 (4)6组独立的(0,1)均匀分布随机数做和后的概率密度统计。(5)、产生(0,1)高斯序列的自相关序列;(6)计算(5)的序列的功率谱密度。 -(1), resulting in (0,1) uniformly distributed random numbers, t
DM642_GaussSmooth
- TI DSP DM642下对图像做高斯平滑处理的使用实例,有很强的参考价值 -TI s DSP the DM642 image example of the use of Gaussian smoothing, there is a strong reference value
The-detection-of-traffic-lights
- 交通信号灯的检测是复杂场景下交通灯识别的重点。采用了色彩分割与关联滤波方案进行交通灯的检测。首先,建立交通信号灯的高斯模型,利用高斯向量与多色彩空间结合的方法进行图像分割。然后,采用基于区域增长与相似性判定的关联滤波,对色彩分割后的图像进行处理。最后,使用基于canny算子的边缘提取算法获取方向指示灯轮廓特征,并使用基于改进hu不变矩和马氏距离对方向指示信号灯进行分类。-The detection of traffic lights is the focus of traffic lights
gaosi
- 在matlab下产生一个高斯分布信号的程序以及生成图形及结果-Program of a Gaussian distribution of signal and generating graphics and results in matlab
Guassian-Algorithem
- Gaussian Algorithem for G-Gaussian Algorithem for GMM