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Fourierclassicalanalyse
- 傅里叶变换和傅里叶变换的性质,周期信号和非周期信号的频谱分析,卷积和卷积定理,抽样信号的傅里叶变换和抽样定理,相关、能量谱和功率谱.-Fourier transform and Fourier transform nature, the cycle-cycle signal and the signal spectrum analysis, Convolution and convolution theorem, the sampling signal to the Fourier transf
SA_TSP
- matlabf非常好基于Contourlet变换的水印算法.与小波变换不同的是Contourlet变换采用类似于线段(contoursegment的基得到一种多分辨、局部化、方向性的图像表示。水印信号通过基于内容的乘性方案加载到Contourlet 变换系数-matlabf very good Contourlet Transform-based watermarking algorithm. and wavelet transform is different Contourlet trans
SA11
- source codes for Fast Fourier Transform Anti-Alias Filter including analyzer signal generator codes. in java-source codes for Fast Fourier Transform Anti-Alias Filter including analyzer signal generator codes. in java
ICALABIPv2_0
- 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 s
dsp.js-master
- dsp.js是一个综合性的数字信号处理的Javascr ipt库。 它包括许多信号分析和生成功能,包括 (正弦振荡器,看到,广场,三角形),窗函数(翰,海明,等), 信封(ADSR),IIR滤波器(低通,高通,带通,切口),FFT,DFT 变换,延时,混响。-dsp.js is an integrated digital signal processing Javascr ipt libraries. It includes many signal ana
DCT
- 求取一段由加速度传感器获取的加速度序列信号的离散余弦变换-For the discrete cosine transform for a period of acquisition by the acceleration sensor of acceleration signal
ib482
- Combined with PCA scale invariant feature transform (SIFT) algorithm, Convolution operation is intended to signal and image rendering, Calculated transmission characteristics and reflection characteristics of the one-dimensional photonic crystals.
bu667
- Time series data analysis Mellin transform tool, ML estimation method can be a good signal to noise ratio, Multi-target tracking particle filter.
bmjqh
- Time series data analysis Mellin transform tool, Including the generalized cross-correlation function GCC time delay estimation, There Wavelet Analysis Blind Signal Processing.
yv272
- Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Interpolation and fitting, solution of equations, data analysis, Gabor wavelet transform and PCA face recognition code.