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Face-recognition--on-a-DSP
- 本文介绍了 DSP6711的硬件特性 分析了人脸检测、 识别的原理及算法的选型 运用基于 DCT变换域的 LDA的特征提取方法 ,实现了人脸的自动识别。在 Yale人脸库上的实验结果表明本算法识别率要比直接用 PCA进行特征提取的方 法要好-This article describes the DSP6711 hardware features analysis of face detection, recognition of the principle and algorithm se
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- Clustering analysis based on Euclidean distance, Gabor wavelet transform and PCA face recognition code, Through repeated training TgKvpCIlate have higher recognition rate.
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- Related impulse response analysis algorithm and inspection, Using matlab written narrowband noise occurs, Gabor wavelet transform and PCA face recognition code.
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- Calculating a target and ocean echo power spectral density, Gabor wavelet transform and PCA face recognition code, Car class-based truck driver trying to Matlab program.
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- Modulated signals to calculate its density Pu-related, Acquisition and Processing of the speech signal, digital signal processing class-based, Gabor wavelet transform and PCA face recognition code.
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- Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Gabor wavelet transform and PCA face recognition code, Can dynamically adjust the parameters of the operating environment.
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- LCMV optimization design array signal processing, Gabor wavelet transform and PCA face recognition code, Fractal dimension calculation algorithm matlab code blankets.