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Correlation_and_convolution
- About correlation. In signal processing, cross-correlation is a measure of similarity of two waveforms as a function of a time-lag applied to one of them. This is also known as a sliding dot product or inner-product. It is commonly used to search a l
R14_MicroarrayImage_CaseStudy
- RNA 和 DNA序列模拟 基因建模 数值模拟 采用matlab 编写 能计算几千个 基因点的特性和行为-In one type of gene expression analysis, fluorescently tagged messenger RNA from different cells are hybridized to a microscopic array of thousands of complimentary DNA spots that correspond to dif
crosscorelation
- In signal processing, cross-correlation is a measure of similarity of two waveforms as a function of a time-lag applied to one of them. This is also known as a sliding dot product or inner-product. It is commonly used to search a long duration signal
Weak-signal-acquisition
- 本论文介绍了“平均相关”方法和“块累加”方法，可以用于弱信号的捕获。-This thesis proposes the methods of "Averaging correlation"and "Block addition"for weak signal acquisition.
averaging2
- averaging of time domain signal.
LABEX1
- Program P1_1 Generation of a Unit Sample Sequence Program P1_2 Generation of a complex exponential sequence Program P1_3 Generation of a real exponential sequence Program P1_4 Generation of a sinusoidal sequence Program P1_5 Signal
Averaging13
- 将滤波的信号叠加再求平均并计算滤波前后的标准差-Averaging the signal superposition and calculate the standard deviation
em480
- ensemble averaging of a signal
Bartlet_Capon_Music
- Capon Bartlet Music MUSIC estimates the frequency content of a signal or autocorrelation matrix using an eigenspace method. This method assumes that a signal, x(n), consists of p complex exponentials in the presence of Gaussian white noise. Given a
MUSIC
- MUSIC estimates the frequency content of a signal or autocorrelation matrix using an eigenspace method. This method assumes that a signal, x(n), consists of p complex exponentials in the presence of Gaussian white noise. Given an M \times M autocorre
C_element
- 通过叠加平均法处理存在许多干扰的信号数据，达到去除噪声的目的-There are many interference by superimposing the data signal averaging process, to achieve the purpose of removing noise