28f31dc0677b

这是一个可执行的小波变换wavelet编码程序,希望对大家有所帮助!(This is an executable wavelet transform wavelet coding procedures, I hope all of you to help!)

心电的实时显示上位机GUI，从串口读入数据。(Matlab GUI for ECG monitoring.)

主元分析中对主元的个数确定目前没有非常好的办法,这里提供一个比较方便实现的matlab程序,利用累计方差贡献率确定主元个数的matlab程序(Principal component analysis of main elements to determine there is no good way, here to provide a more convenient realization of the matlab program, using the cumulative variance contribution rate to determine the number of principal components of the matlab program)

区间偏最小二乘，主要用于近红外数据处理。(Interval partial least squares, mainly for near-infrared data processing.)

i have a great sotlution for this equation of euler loook a small program but a perfect result

MATLAB Recipes for Earth Sciences

二维离散小波变换程序，对于初学者有很大帮助(Two-dimensional discrete wavelet transform procedures)

FFT explaining code, step by step for fresh learners of matlab and FFT

We address the problem of blind carrier frequency-offset (CFO) estimation in quadrature amplitude modulation, phase-shift keying, and pulse amplitude modulation communications systems.We study the performance of a standard CFO estimate, which consists of first raising the received signal to the Mth power, where M is an integer depending on the type and size of the symbol constellation, and then applying the nonlinear least squares (NLLS) estimation approach. At low signal-to noise ratio (SNR), the NLLS method fails to provide an accurate CFO estimate because of the presence of outliers. In this letter, we derive an approximate closed-form expression for the outlier probability. This enables us to predict the mean-square error (MSE) on CFO estimation for all SNR values. For a given SNR, the new results also give insight into the minimum number of samples required in the CFO estimation procedure, in order to ensure that the MSE on estimation is not significantly affected by the outliers.

MATLAB的梯度法，内点法，外点法，罚函数，惩罚函数，线性梯度法，源程序，按照提示输入，可直接运行(MATLAB' s gradient method, interior point method, outside the point of law, penalty function, penalty function, the linear gradient method, source code, follow the prompts to input, can be directly run)