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icalab

于 2007-09-15 发布 文件大小:23556KB
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下载积分: 1 下载次数: 85

代码说明:

  矩阵实验室的内容,对于学习盲源分析的同学有好处(Matrix content of the laboratory for the analysis of blind source learning students will benefit)

文件列表:

acrsobibpf.p
acsobiro.p
adv_opt_matrixH.p
adv_param.p
als_reg.p
amuse.p
amusepermuta.p
benchmarks
..........\10halo.mat
..........\25speakersHALO.mat
..........\25speakersNOSYNC.mat
..........\64sounds_std.mat
..........\ABio5.mat
..........\ABio6.mat
..........\ABio7.mat
..........\AC10-7sparse.mat
..........\ACPos24sparse10.mat
..........\ACposin10.mat
..........\ACposvsparse.mat
..........\ACpwcon10.mat
..........\ACsin10d.mat
..........\ACsin4d.mat
..........\ACsincpos10.mat
..........\ACsparse10.mat
..........\acspeech16.mat
..........\acv10_sin.mat
..........\ACvsparse10.mat
..........\AC_2noi_2smooth.mat
..........\bbb4.mat
..........\c5signals.mat
..........\ccc4.mat
..........\dur3.mat
..........\ecg.mat
..........\eeg18raw.mat
..........\EEG19.mat
..........\eeg23arti.mat
..........\Gnband.mat
..........\mark.mat
..........\nband5.mat
..........\octave3.mat
..........\Readme.txt
..........\refs5.mat
..........\s5ref.mat
..........\Sergio7.mat
..........\sin10.mat
..........\sp4.mat
..........\SparSergio7.mat
..........\Speech10.mat
..........\Speech20.mat
..........\Speech4.mat
..........\Speech4_sin0_05.mat
..........\Speech8.mat
..........\square10.mat
..........\VSparse_rand_10.mat
..........\X_10rand_sparse.mat
..........\X_10signals_nonperiod.mat
..........\X_5smooth.mat
choseleng.p
chosemat.p
chosevar.p
combi.m
cost_off.p
Data-ref-signals
................\30Alc.mat
................\30Con.mat
................\5chans.mat
................\reference.mat
................\ref_5chans.mat
................\temp.mat
display_chn.p
efica.m
erica.m
evd.p
evd24.p
ewasobi.m
fajdc4.p
fajdnew.p
fastcICA.p
fasticater.p
ffdiag.p
fjade.p
flexica.p
fobi.p
fobip.p
f_x.p
getalgbyname.p
getalgotype.p
getval.p
getW.p
get_off.p
icacalcpi.m
icaedmat.p
icahelp.p
icalab.html
icalab.p
icalab_alg_is_run.p
icalab_clearw.p
icalab_closechn.p
icalab_config.p
icalab_deflation.p

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  • myperT4
    constructive role of noise in signal detection from parallel arrays of quantizers.(A noisy input signal is observed by means of a parallel array of one-bit threshold quantizers,in which all the quantizer outputs are added to produce the array output.s(t)=s1(t)with prior probability P0,or s(t)=s0(t)with prior probability P1=1-P0 input signal-noise mixture x(t)=s(t)+n(t) x(t) is observed by means of a parallel array of M threshold comparators. yi(t)=U[x(t)+wi(t)-theta],i=1,2...M.wi(t) is threshold noise.Y(t)=y1(t)+y2(t)+...yM(t), the array output Y(t) is meansured at T distinct times.the plot is fthe theoretical value of minimal detection error probability Per varied with sigma.)
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    说明:  自己的一点小资料,很乱,设计一些例子,svm的,之类的(Little information, messy, design examples, svm, like the)
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    本论文的工作是对近场圆形阵列宽带信号进行处理,获得目标/焦点位置增益输出, 预先定义宽带信号阻带的旁瓣衰减大小以及感兴趣频域内的恒定波束宽带模式。本文使 用不同的方法解决这个设计问题,该问题分为两部分,第一部分解决频域内的模型设计, 第二部分给出时域内的结果。仿真结果表明解决方法的有效性。 (This thesis work is a circular array of broadband near-field signal is processed to obtain the target/focus position gain output, Pre-defined stopband sidelobe wideband signal attenuation constant beam size and frequency domain of interest wideband mode. This paper makes To solve this problem in different ways design, the problem is divided into two parts, the first part of the solution in the frequency domain model design, The second part gives the result in the time domain. The simulation results show the effectiveness of the solution.)
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