3 daugman j g . high confidence visual recognition of persons by atest of statistical independence 相對而言,高精度的配準(zhǔn)操作可以提高整個(gè)識別系統(tǒng)的識別精度。
The preprocessing obviously stands out the non - gaussianity of the individual components in the signals to satisfy the ica condition , i . e . statistical independence of sources 同時(shí)指出,對信號進(jìn)行自相關(guān)預(yù)處理,可以突出信號的非高斯成分,較好地滿足獨(dú)立分量分析的前提條件,即源信號統(tǒng)計(jì)獨(dú)立。
Based on ica post processing matched filter multi - user detection lets the output of traditional matched filter to initialize the ica iterations , not only the known spread information of interesting user is used to overcome the uncertainness of ica , but also the character of statistical independence is used . the simulation results show that it advances the ability of traditional detector when the signal - noise - ratio is large . keywords code division multiple access ; independent component analysis ; channel estimation ; matched filter ; blind multi - user detection 基于ica后處理的匹配濾波多用戶檢測是用傳統(tǒng)的檢測器的輸出來初始化ica的迭代,它不但充分利用多用戶信號的已知信息,克服了ica的不確定性問題,同時(shí)也充分利用了多用戶信號的統(tǒng)計(jì)獨(dú)立性,仿真實(shí)驗(yàn)結(jié)果證明這種多用戶檢測算法在高信噪的情況下,誤碼性能改善隨著信噪比的提高不斷增加。