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Bruce Eckel s Thinking in C++. If you want clear answers to difficult questions about C++, this book is for you.

说明：  matlab模拟光纤光栅特性的算法与代码(Characteristics of Fiber Bragg Grating matlab simulation algorithm and code)

MMP算法是一种对半监督降维的方法，可用于图像检索，图像分类等方面。(Maximum Margin Projection)

主成分分析，进行主成分分析，使用MATLAB进行主成分分析。(main compeneont analysis)

剥层算法，用于设计纯相移取样光纤光栅,自己写的还比较详细(Layer stripping algorithm for the design of pure phase shift sampled fiber grating, write their own but also more detailed)

fuzzy control motor mpptspeed

选择输入信号的参数，以及抽样因子，以及采样参数，对信号分别进行上抽样和下抽样，方便非均匀采样的进行。(Select the input signal parameters, and sampling factors, as well as sampling parameters, respectively, on the signal sampling and down sampling, to facilitate the conduct of non-uniform sampling.)

这是介绍MATLAB小波分析工具箱使用的一本中文书籍，内容详实丰富，大家可以参考使用！(WAVELET toolbox book)

Compressive sensing (CS) has been proposed for signals with sparsity in a linear transform domain. We explore a signal dependent unknown linear transform, namely the impulse response matrix operating on a sparse excitation, as in the linear model of speech production, for recovering compressive sensed speech. Since the linear transform is signal dependent and unknown, unlike the standard CS formulation, a codebook of transfer functions is proposed in a matching pursuit (MP) framework for CS recovery. It is found that MP is efficient and effective to recover CS encoded speech as well as jointly estimate the linear model. Moderate number of CS measurements and low order sparsity estimate will result in MP converge to the same linear transform as direct VQ of the LP vector derived the original signal. There is also high positive correlation between signal domain approximation and CS measurement domain approximation for a large variety of speech spectra.

说明：  基于MRAS的永磁同步电机无速度传感器估计仿真模型(Sensorless estimation of PMSM Based on MRAS)