搜索资源列表
853
- Apriori算法源码（C++） 看了以前在这里发的apriori源码，觉得写得代码有些繁琐，现在重写了一下，主要是把数据操作和界面显示分离，使用了stl和boost，简化了字符操作的算法，数据库用的是mysql的，API是mysql++,在mfc下mysql++无法运行，所以gui框架用的是win32gui-lib(可以到sf.net/project/win32gui下载)。当然你也可以用odbc改写，或是换用别的数据库，因为算法逻辑是独立的，所以应该很容易改写 -Apriori
FastICAECG
- 有关快速定点独立分量分离的Matlab源程序， 有很详细的说明，对于研究FastICA很有价值，-Independent component of the fast fixed-point Matlab source separation, had a very detailed descr iption of FastICA valuable for research,
bbs_bbs1
- 盲信号分离源程序。包括FICA算法和INFOMAX短发-Blind signal separation source. Include FICA algorithms and INFOMAX short hair
FastICA_2.1
- 很好的盲信号分离软件，可以实现降维和独立分量成分的分离-A very good software for blind signal separation can be achieved dimension reduction and independent component separation of components
informationblindsourceseparation
- 基于信息最大化的盲源分离，采用2路混合超高斯信号，分离效果明显-Based on information maximization blind source separation using 2-way mixed super-Gaussian signal, separation effect is obvious
DEMO_BSS
- The technique for estimation of individual components source from their mixtures at multiple sensors is known as blind source separation (BSS). In a real room environment, one well known BSS application is the separation of audio sources which have b
Ellipse
- Ellipse: determination of transition and separation point
MyCC1000
- CC1000驱动源码,用于驱动底层，配置为曼码通信模式，三线配置接口，外部中断-// Device: CC1020 // System parameters: // X-tal frequency: 14.745600 MHz Internal // X-tal accuracy:+/- 5 ppm // RF frequency A: 433.916 MHz Active Tx // RF frequency B: 433.916 MHz Inactive Rx
multi_nmf_toolbox
- 这是经典文章“Multichannel Nonnegative Matrix Factorization in Convolutive Mixtures for Audio Source Separation”的matlab源代码-This is a classic article the " Multichannel Nonnegative Matrix Factorization in Convolutive Mixtures for Audio Source Separatio
Untitled
- 语音信号实时采集，并用独立分量将混合信号分离-Real-time voice signal acquisition, and independent component of mixed-signal separation
ica_demo
- 用盲源分离的方法处理脑电信号-Blind source separation method using EEG signal processing
mangyuanfenli
- 主程序为mybss.m和fastica1.m。经过调试能够成功运行，和lmd一起使用效果不错，可以实现各频率的分离。-The main program is mybss.m and fastica1.m. After debugging can be run successfully, and lmd use with good results, the separation can be achieved for each frequency.
SNR_Max_BSS
- 基于最大信噪比的盲源分离算法（附参考文章），能够分离线性混合的超高斯和亚高斯源信号, 并且可以有效地分离语音信号。-(With reference to the article), can be separated and super-Gaussian linear mixed sub-Gaussian source signal to noise ratio based on the largest blind source separation algorithm, and can effe
BKSA_BSS
- 一种新的基于峰度的盲源分离开关算法（附参考文章），无需假设源信号的概率密度函数, 可直接对独立分量分析中的激活函数进行自适应学习。-A New kurtosis switching algorithm for blind source separation (with reference to the article), without assuming that the probability density function of the source signal, independent
6-3solution
- “六度空间”理论又称“六度分隔”理论，可以通俗的阐述为“你和任何一个陌生人之间所间隔的人不会超过六个人”，也就是说最多通过五个人你就能认识任何一个陌生人。-" Six Degrees of Separation" theory known as " six degrees of separation" theory, can be described as a popular " people between you and any stranger
1
- 雷达信号分选程序，将灰关联分选和数据场理论相结合，分选概率得到提高-Radar signal sorting process, combining grey relation theory and data field separation, the probability of separation was improved
FastICA_25
- 盲源分离Fastica脚本文件，包含了盲源分离经常用到的函数文件-Blind source separation scr ipt file.
dct-lnormal
- DCT基广泛应用于图像去噪，信号分离。BP与OMP算法作为贪婪算法的代表用于信号恢复。-DCT is widely used in image denoising, signal separation. As a representative of the greedy algorithm of BP and OMP algorithm for signal recovery.
Sparse-blind-source-
- 盲源分离程序代码 用于信号处理和模态识别-Blind source separation program code for signal processing and modal identification
mangyuanfenli
- 盲源分离的程序，很好的一段程序，有仿真实例，简单易懂效果很好。-Blind source separation program, a program very good, there are simulation examples, easy to understand with good results.