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[VC/MFCtheapplicationofwavelet

Description: 《小波分析与信号处理—理论、应用及软件实现》对大家学习小波变换非常有帮助- Wavelet Analysis and Signal Processing- Theory, application and software realization of the U.S. study of wavelet transform very helpful
Platform: | Size: 4912128 | Author: 郭瑞 | Hits:

[Special EffectsDWTwithICA-R

Description: 基于小波的ICA-R算法,适合混合图像的分离。具有速度快等优势。-Wavelet-based ICA-R algorithm, suitable for the separation of mixed images. With a speed advantage.
Platform: | Size: 169984 | Author: annie | Hits:

[Graph programIcaDWTFusion

Description: 一种新的基于ICA及小波变换的图像融合算法-A new wavelet transform based on the ICA and the image fusion algorithm
Platform: | Size: 151552 | Author: niuxiaohui | Hits:

[WaveletICA_method_with_global_optimal_property_based_on_w

Description: ICA method with global optimal property based on wavelet transforma tion :ica和小波用于图像分析-ICA method with global optimal property based on wavelet transforma tion: ica and wavelet for image analysis
Platform: | Size: 394240 | Author: oskycar | Hits:

[matlabfeatureextraction

Description: 利用MATLAB实现一维信号时间序列的,特征提取,其中包括ICA和基于小波包的方法。-Use MATLAB to achieve one-dimensional time series signal, feature extraction, including the ICA and the method based on wavelet packet.
Platform: | Size: 2048 | Author: mm7760 | Hits:

[WaveletICA-R8162

Description: 将小波分析算法应用到ica-r中,使整个算法运行时间下降60%左右。-Wavelet analysis algorithm will be applied to the ica-r in the whole algorithm running time decreased by around 60.
Platform: | Size: 171008 | Author: lixiaoli | Hits:

[Special Effectshhh

Description: :由于许多传统的去噪方法在强背景噪声情况下提取声音信号的能力变弱甚至失效, 提出 应用独立成分分析( I C A) 方法对声音信号进行特征提取, 并证明了这种 I C A 变换能增强语音和音 乐信号的超高斯性. 在此基础上, 应用 I C A基函数作为滤波器, 通过阈值化的去噪方法对含有强高 斯背景噪声的声音信号进行去噪仿真实验. 结果表明, 本方法明显优于传统的均值滤波和小波去噪 方法, 为强背景噪声下弱信号的检测提供 了新的途径.-: As many of the traditional de-noising method in case of strong background noise, the ability to extract the voice signal even weaker failure, the application of independent component analysis (ICA) method of voice signal feature extraction, and prove that this transformation can be enhanced voice ICA and music of super-Gaussian signals. On this basis, the application of ICA basis function as a filter, through the threshold of the denoising method of Gaussian background noise contains strong voice signal denoising simulation. The results show that this method is obviously superior to the traditional mean filtering and wavelet denoising methods for the strong background noise under the weak signal detection provides a new way.
Platform: | Size: 212992 | Author: 金振东 | Hits:

[WaveletBlindRecognitionAlgorithmforTTCSignalsofSatellite.

Description: 基于小波变换和ICA的卫星测控信号盲识别算法-Based on wavelet transform and ICA for Blind Signal Recognition Algorithm for Satellite Monitoring
Platform: | Size: 307200 | Author: luwei | Hits:

[Special EffectsComplete-identification-including-skin-and-the-act

Description: 本文的目的是提供一个我开发的SSE优化的,C++库,用于人脸检测,你可以马上把它用于你的视频监控系统中。涉及的技术有:小波分析,尺度缩减模型(PCA,LDA,ICA),人工神经网络(ANN),支持向量机(SVM),SSE编程,图像处理,直方图均衡,图像滤波,C++编程,还有一下其它的人脸检测的背景知识-The purpose of this paper is to provide an I developed SSE optimized, C++ library, used for face detection, you can immediately use it for your video surveillance system. The technology involved are: wavelet analysis, scaling down model (PCA, LDA, ICA), artificial neural network (ANN), support vector machine (SVM), SSE programming, image processing, histogram equalization, image filtering, C++ programming, but also what other people have the background knowledge of face detection
Platform: | Size: 2305024 | Author: 憨豆 | Hits:

[matlabICA_denoise

Description: ICA去噪程序,与小波去噪比较,去噪效果较好。-ICA denoising procedure, compared with wavelet denoising, denoising is better.
Platform: | Size: 2459648 | Author: 胡小曼 | Hits:

[FlashMXICALABIPv2_0

Description: ICA算法可以将噪声信号分解为一系列独立的分量(ICs),这样就可以对各独立分量进行单独的研究和分析。首先叙述了柴油机噪声信号的特性。预测模型表明:发动机噪声信号满足ICA计算的要求。然后介绍了ICA模型的相关理论。举例说明ICA方法分离信号的有效性,以及ICA方法对小能量噪声的分离的有效性。连续小波变换来显示了各独立分量ICs在时频域内的特性。由采集信号分离得到噪声源信号可以作为发动机的理论预测和设计依据。-he ICA algorithm can be decomposed into a series of independent noise signal of the component (sysu), so that we can to each individual independent component analysis and research. First describes the characteristics of diesel engine noise signal. Forecasting model shows: the engine noise signal satisfy the requirements. ICA calculation Then introduces the related theoretical model of ICA. Illustrate the effectiveness of the method of ICA and separated signal to noise ICA method of separation of energy efficiency. Continuous wavelet transform to display the independent components in time-frequency domain sysu properties. By gathering signal noise signal can be obtained as the engine of the theoretical prediction and design basis.
Platform: | Size: 15193088 | Author: 王霞 | Hits:

[Graph RecognizeFace-Detection

Description: 完整的包括皮肤及动作识别的C++人脸检测源代码,涉及的技术有:小波分析,尺度缩减模型(PCA,LDA,ICA),人工神经网络(ANN),支持向量机(SVM),SSE编程,图像处理,直方图均衡,图像滤波,C++编程等。-Complete, including skin and actions identified C++ face detection source code, the technology involved are: wavelet analysis, scaling down model (PCA, LDA, ICA), artificial neural network (ANN), support vector machine (SVM), SSE Programming , image processing, histogram equalization, image filtering, C++ programming.
Platform: | Size: 462848 | Author: 黄大伟 | Hits:

[AI-NN-PRhuffman_program

Description: 涉及的技术有:小波分析,尺度缩减模型(PCA,LDA,ICA),人工神经网络(ANN),-Techniques involved are: wavelet analysis, scaling down model (PCA, LDA, ICA), artificial neural network (ANN),
Platform: | Size: 404480 | Author: 李云 | Hits:

[matlabWavelet-based-ICA-R-algorithm

Description: 基于小波的ICA-R算法,适合混合图像的分离。具有速度快等优势-Wavelet-based ICA-R algorithm, suitable for the separation of mixed images. With a speed advantage.
Platform: | Size: 171008 | Author: 刘少华 | Hits:

[Graph RecognizeImproved-ICA-face-recognition

Description: 针对传统的ICA算法存在的计算复杂度过高,训练和识别消耗时间过多的问题,通过对一般的用于人脸识别的小波变换(WT)方法加以改进,实现了一种基于WT的ICA算法-Spend too many time-consuming problem of high training and recognition complex calculations exist for the traditional ICA algorithm to be improved by the method generally used for face recognition wavelet transform (WT), to achieve the ICA based WT algorithm
Platform: | Size: 5120 | Author: 谭立国 | Hits:

[OtherImage-Fusion-Alg_and_App

Description: 图像融合:算法及应用一书提供了在这一领域最新的进展,包括了贝叶斯方法,ICA和小波方法。它还包含了关于图像马赛克,遥感应用等的极有价值的资料。-Image Fusion: Algorithms and Applications provides a representative collection of the recent advances in research and development in the field of image fusion, demonstrating both spatial domain and transform domain fusion methods including Bayesian methods, statistical approaches, ICA and wavelet domain techniques. It also includes valuable material on image mosaics, remote sensing applications and performance evaluation.
Platform: | Size: 10486784 | Author: zxcvb | Hits:

[Special EffectsColor-rendering.

Description: 本文的目的是提供一个我开发的SSE优化的,C++库,用于人脸检测,你可以马上把它用于你的视频监控系统中。涉及的技术有:小波分析,尺度缩减模型(PCA,LDA,ICA),人工神经网络(ANN),支持向量机(SVM),SSE编程,图像处理,直方图均衡,图像滤波,C++编程,还有一下其它的人脸检测的背景知识。-Face expression identification code, part of the realization of the algorithm and write the purpose of this paper is to provide a I development of SSE optimized, c++ library for face detection, you can get it for your video monitoring system. Regarding technical: wavelet analysis, dimension reduction model (PCA, LDA, ICA), artificial neural network (ANN), support vector machine (SVM), SSE programming, image processing, histogram equalization, image filtering, c++ programming, and the other face detection background knowledge.
Platform: | Size: 15360 | Author: 青哥 | Hits:

[File FormatStudy-on-compound-fault-diagnosis

Description: 针对滚动轴承复合故障信号特征难以分离的问题, 提出将双树复小波变换和独立分量分析( ICA) 结合的故障诊断方 法 该方法首先将非平稳的故障信号通过双树复小波变换分解为若干不同频带的分量 由于各个分量存在一定的频率混叠, 对 故障信号特征提取有很大的干扰, 进而引入 ICA 对各个分量所组成的混合信号进行盲源分离, 从而尽可能消除频率混叠 最后 对从混合信号中分离出来的独立分量信号进行希尔伯特包络解调, 即可实现对复合故障特征信息的分离和故障识别-Aiming at the difficulty of separating the fault feature from compound rolling bearing fault signal,a new fault diagnosis method is proposed based on dual-tree complex wavelet transform ( DT-CWT) and independent com- ponent analysis ( ICA) . Firstly,DT-CWT is used to decompose the non-stationary fault vibration signal into several components with different frequency bands. Because frequency aliasing exists in the components,this problem dis- turbs the feature extraction of the fault signal. Then,ICA is introduced to perform blind source separation on the mixed signal consisting of various components to eliminate the frequency aliasing as far as possible. Finally,Hilbert envelope decomposition is performed on the independent signal components separated from the mixed signal. Thus the compound fault feature information can be separated,and the fault identification is achieved.
Platform: | Size: 927744 | Author: 侯蒙蒙 | Hits:

[hospital software systemMatlab--ICA

Description: Matlab详细编程,各种ICA工具,各种介绍,欢迎下载-Matlab programming, wavelet decomposition are introduced, and the ICA... Welcome to download
Platform: | Size: 9216 | Author: 沈双全 | Hits:

[matlabica

Description: ICA butterworth 自适应滤波 短时自相关 提升小波包-ICA butterworth adaptive filtering to enhance short-term autocorrelation wavelet packet
Platform: | Size: 3072 | Author: guo | Hits:
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