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Matlab Toolbox for Dimensionality Reduction v0.7.2 - November 2010

多项式的曲线拟合，使用MATHCAD实现(Polynomial curve fitting using MATHCAD achieve)

基于复互小波分析的模拟电路故障诊断方法1001-0548(2013)03-0380-05(Faults diagnosis approach for analog circuit based on complex cross- wavelet transform )

这是一个相对完整的OFDM通信系统的仿真设计，包括编码，调制，IFFT，上下变频，高斯信道建模，FFT，PAPR抑制，各种同步，解调和解码等模块，并统括系统性能的仿真验证了系统设计的可靠性。 (This is a relatively complete simulation of OFDM systems design, including coding, modulation, IFFT, up and down conversion, Gaussian channel model, FFT, PAPR suppression of synchronization, demodulation and decoding modules, and systems, including system performance simulation verifies the reliability of system design.)

MPU6050陀螺仪，代码，技术文档， 测试程序(MPU6050 gyroscope, code, technical documentation, test programs)

说明：  实现多尺度熵的算法 多尺度熵（Multiscale entropy, MSE）将样本熵扩展到多个时间尺度，以便在时间尺度不确定时提供额外的观察视角。样本熵的问题在于它没有很好地考虑到时间序列中可能存在的不同时间尺度。为了计算不同时间尺度下信号的复杂性，Costa等人（2002,2005）提出了多尺度熵。(MultiScale Entropy There has been considerable interest in quantifying the complexity of physiologic time series, such as heart rate. However, traditional algorithms indicate higher complexity for certain pathologic processes associated with random outputs than for healthy dynamics exhibiting long-range correlations. This paradox may be due to the fact that conventional algorithms fail to account for the multiple time scales inherent in healthy physiologic dynamics. We introduce a method to calculate multiscale entropy (MSE) for complex time series. We find that MSE robustly separates healthy and pathologic groups and consistently yields higher values for simulated long-range correlated noise compared to uncorrelated noise.)

说明：  经典PAST算法，实现信号盲分离，有详细的代码和解释，(Classic PAST algorithm, achieving blind signal separation, a detailed code and explanation)

绕射系数的matlab程序 (matlab raoshexishu)

认知无线电中基于遗传算法的频谱分配的时间开销仿真实验(Cognitive radio spectrum allocation time overhead simulation-based Genetic Algorithm)

lets share matlab codes