登录
首页 » matlab » arsvm2

arsvm2

于 2012-10-01 发布 文件大小:2905KB
0 283
下载积分: 1 下载次数: 82

代码说明:

  利用ar模型和近似熵方法对癫痫脑电信号进行识别处理(Ar model and approximate entropy method epileptic EEG recognition processing)

文件列表:

arsvm2
......\Ap.mat,188,2012-08-20
......\APEN.asv,1798,2012-09-19
......\APEN.m,1800,2012-09-19
......\ApEn_n1.mat,184,2012-08-20
......\ApEn_n10.mat,183,2012-08-20
......\ApEn_n2.mat,184,2012-08-20
......\ApEn_n3.mat,184,2012-08-20
......\ApEn_n4.mat,184,2012-08-20
......\ApEn_n5.mat,184,2012-08-20
......\ApEn_n6.mat,184,2012-08-20
......\ApEn_n7.mat,184,2012-08-20
......\ApEn_n8.mat,184,2012-08-20
......\ApEn_n9.mat,184,2012-08-20
......\ApEn_s1.mat,184,2012-08-20
......\ApEn_s10.mat,183,2012-08-20
......\ApEn_s2.mat,184,2012-08-20
......\ApEn_s3.mat,184,2012-08-20
......\ApEn_s4.mat,184,2012-08-20
......\ApEn_s5.mat,184,2012-08-20
......\ApEn_s6.mat,184,2012-08-20
......\ApEn_s7.mat,184,2012-08-20
......\ApEn_s8.mat,184,2012-08-20
......\ApEn_s9.mat,184,2012-08-20
......\ApEn_t1.mat,184,2012-08-20
......\ApEn_t10.mat,183,2012-08-20
......\ApEn_t2.mat,184,2012-08-20
......\ApEn_t3.mat,184,2012-08-20
......\ApEn_t4.mat,184,2012-08-20
......\ApEn_t5.mat,184,2012-08-20
......\ApEn_t6.mat,184,2012-08-20
......\ApEn_t7.mat,184,2012-08-20
......\ApEn_t8.mat,184,2012-08-20
......\ApEn_t9.mat,184,2012-08-20
......\ApEn_x11_n1.mat,189,2012-09-19
......\ApEn_x11_n10.mat,190,2012-09-19
......\ApEn_x11_n2.mat,189,2012-09-19
......\ApEn_x11_n3.mat,189,2012-09-19
......\ApEn_x11_n4.mat,189,2012-09-19
......\ApEn_x11_n5.mat,189,2012-09-19
......\ApEn_x11_n6.mat,189,2012-09-19
......\ApEn_x11_n7.mat,189,2012-09-19
......\ApEn_x11_n8.mat,189,2012-09-19
......\ApEn_x11_n9.mat,189,2012-09-19
......\ApEn_x11_s1.mat,189,2012-09-19
......\ApEn_x11_s10.mat,190,2012-09-19
......\ApEn_x11_s2.mat,189,2012-09-19
......\ApEn_x11_s3.mat,189,2012-09-19
......\ApEn_x11_s4.mat,189,2012-09-19
......\ApEn_x11_s5.mat,189,2012-09-19
......\ApEn_x11_s6.mat,189,2012-09-19
......\ApEn_x11_s7.mat,189,2012-09-19
......\ApEn_x11_s8.mat,189,2012-09-19
......\ApEn_x11_s9.mat,189,2012-09-19
......\ApEn_x13_n1.mat,189,2012-09-19
......\ApEn_x13_n10.mat,190,2012-09-19
......\ApEn_x13_n2.mat,189,2012-09-19
......\ApEn_x13_n3.mat,189,2012-09-19
......\ApEn_x13_n4.mat,189,2012-09-19
......\ApEn_x13_n5.mat,189,2012-09-19
......\ApEn_x13_n6.mat,189,2012-09-19
......\ApEn_x13_n7.mat,189,2012-09-19
......\ApEn_x13_n8.mat,189,2012-09-19
......\ApEn_x13_n9.mat,189,2012-09-19
......\ApEn_x13_s1.mat,189,2012-09-19
......\ApEn_x13_s10.mat,190,2012-09-19
......\ApEn_x13_s2.mat,189,2012-09-19
......\ApEn_x13_s3.mat,189,2012-09-19
......\ApEn_x13_s4.mat,189,2012-09-19
......\ApEn_x13_s5.mat,189,2012-09-19
......\ApEn_x13_s6.mat,189,2012-09-19
......\ApEn_x13_s7.mat,189,2012-09-19
......\ApEn_x13_s8.mat,189,2012-09-19
......\ApEn_x13_s9.mat,189,2012-09-19
......\ApEn_x15_n1.mat,189,2012-09-19
......\ApEn_x15_n10.mat,190,2012-09-19
......\ApEn_x15_n2.mat,189,2012-09-19
......\ApEn_x15_n3.mat,189,2012-09-19
......\ApEn_x15_n4.mat,189,2012-09-19
......\ApEn_x15_n5.mat,189,2012-09-19
......\ApEn_x15_n6.mat,189,2012-09-19
......\ApEn_x15_n7.mat,189,2012-09-19
......\ApEn_x15_n8.mat,189,2012-09-19
......\ApEn_x15_n9.mat,189,2012-09-19
......\ApEn_x15_s1.mat,189,2012-09-19
......\ApEn_x15_s10.mat,190,2012-09-19
......\ApEn_x15_s2.mat,189,2012-09-19
......\ApEn_x15_s3.mat,189,2012-09-19
......\ApEn_x15_s4.mat,189,2012-09-19
......\ApEn_x15_s5.mat,189,2012-09-19
......\ApEn_x15_s6.mat,189,2012-09-19
......\ApEn_x15_s7.mat,189,2012-09-19
......\ApEn_x15_s8.mat,189,2012-09-19
......\ApEn_x15_s9.mat,189,2012-09-19
......\ApEn_x17_n1.mat,189,2012-09-19
......\ApEn_x17_n10.mat,190,2012-09-19
......\ApEn_x17_n2.mat,189,2012-09-19
......\ApEn_x17_n3.mat,189,2012-09-19
......\ApEn_x17_n4.mat,189,2012-09-19
......\ApEn_x17_n5.mat,189,2012-09-19

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • K-MEANS
    基于MATLAB的k-means算法 较好的解决了图像分类聚类的问题(MATLAB based on the k-means algorithm better solved the problem of image classification clustering)
    2008-05-08 08:54:59下载
    积分:1
  • function-dehaze
    its used to remove haze..
    2011-12-20 04:07:13下载
    积分:1
  • CLRC663-DataSheet-Chinese
    CLRC663 是高度集成的收发器芯片,用于 13.56 兆赫兹的非接触式通讯。CLRC663 收发器芯片支 持下列操作模式 • 读写模式支持 ISO/IEC 14443A/MIFARE • 读写模式支持 SO/IEC 14443IB • JIS X 6319-4 读写模式支持(等效于FeliCa 1 方案,请参阅章节 21.5) • 相应于 ISO/IEC 18092 的被动发起方模式 • 读写模式支持 ISO/IEC 15693 • 读写模式支持 ICODE EPC UID/EPC OTP • 读写模式支持 ISO/IEC 18000-3 mode 3/ EPC Class-1 HF CLRC663 能够透过内建发射器直接驱动外置天线与 ISO/IEC 14443A 或 MIFARE 卡片进行通信,而无 需附加有源电路。数字模块负责全部的 ISO/IEC 14443A 组帧和错误检测功能(奇偶校验和 CRC 循環 冗餘校驗)(The CLRC663 is a highly integrated transceiver IC for contactless communication at 13.56 MHz. This transceiver IC utilizes an outstanding modulation and demodulation concept completely integrated for different kinds of contactless communication methods and protocols at 13.56 MHz. The CLRC663 transceiver ICs support the following operating modes • read/write mode supporting ISO/IEC 14443A/MIFARE • read/write mode supporting ISO/IEC 14443B • read/write mode supporting JIS X 6319-4 (comparable with FeliCa 1 (see Section 30.5) scheme) • passive initiator mode according to ISO/IEC 18092 • read/write mode supporting ISO/IEC 15693 • read/write mode supporting ICODE EPC UID/ EPC OTP • read/write mode supporting ISO/IEC 18000-3 Mode 3 The CLRC663’s internal transmitter is able to drive a reader/writer antenna designed to communicate with ISO/IEC 14443A/MIFARE cards and transponders without additional active circuitry. The receiver module )
    2016-08-18 11:34:28下载
    积分:1
  • TP_AMO
    Le Descripteur SIFT (Scale Invariant Feature Transform) [1] consiste a extraire un histo- gramme d orientations de gradients autour d un point d inter^et de l image. Le principe du calcul du descripteur est illustre a la gure
    2010-03-12 19:07:06下载
    积分:1
  • OFDMASCFDMA
    说明:  3GLTE下行链路方案ofdma性能仿真 以图形的方式表示 OFDMA和sc-fdma的性能差异 信噪比等(3GLTE ofdma downlink performance simulation program to graphically express OFDMA and sc-fdma differences in SNR performance)
    2010-05-04 10:14:20下载
    积分:1
  • random-noise
    利用matlab在图像中加入各种随机噪声,包括调用函数,以及randn使用、以及介绍send和state的区别。(Using matlab to join all kinds of random noise in the image, including the calling function, and randn use, as well as the introduction of the difference between send and state.)
    2012-05-28 20:54:54下载
    积分:1
  • dsc2
    利用经典Jakes模型生成时间频率双选信道,自己写的,已对各参数进行标注(Using the classical Jakes model to generate time-frequency dual-channel selection, write, and has marked the various parameters)
    2020-12-03 10:59:24下载
    积分:1
  • ARDUINO-Ndef-dev
    NFC NDEF Arduino source and example
    2013-11-10 09:14:52下载
    积分:1
  • wtest
    用dwt函数实现了一层小波变换,并将各分量用图像显示了出来(Dwt function implementation with a layer of wavelet transform, and image display using the component out)
    2009-03-24 13:37:27下载
    积分:1
  • MMSELSA
    minimum mean square estimator log spectral amplitude is an anhanced technique of the minimum mean square estimator developed by Ephraih and Malah in 1985.It is used for signal processing by improving the Signal to noise Ratio.
    2010-10-15 00:36:17下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载