Handbook-of-Mathematics--5th-2007

对于学习信号处理的同学们，需要数值分析的一些知识，如拟合、松弛迭代等等都是有用的数值分析方法(For students studying signal processing, numerical analysis requires some knowledge of relaxation that a useful method for numerical analysis)

实现EMD分解，用于信号处理，分解出IMFs分量(Of EMD for signal processing, decomposition of the IMFs component)

Optimization of PID Parameters Using SIMULIN K and Optimization Toolbox

Window Shell扩展编程编程的相关例子，想学shell编程的朋友有福了！(Window Shell-programming related to the expansion of programming examples, want to learn shell programming blessed Friend!)

该程序为MATLAB源码，使用SVM算法（简易实现）进行分类。(Classify using (a very simple implementation of) the support vector machine algorithm)

k均值聚类优化径向基网络中心，遗传算法优化权值，然后用网络进行函数拟合，真实可用(k means clustering for optimizing the center of RBF,GA is used for optimizing the weights.)

truetime 的小例子（I),便于了解truetime，使用truetime2.0(truetime small example (I), easy to understand truetime, use truetime2.0)

用matlab画正玄函数的图形以及变化，包括FFT 加白噪声。(Matlab draw with the graphics functions are mysterious as well as the changes, including FFT plus white noise.)

将压缩感知用于谱估计中，根据论文谱压缩感知的一些程序(Compressive sensing (CS) is a new approach to simultaneous sensing and compression of sparse and compressible signals based on randomized dimensionality reduction. To recover a signal from its compressive measurements, standard CS algorithms seek the sparsest signal in some discrete basis or frame that agrees with the measurements. A great many applications feature smooth or modulated signals that are frequency sparse and can be modeled as a superposition of a small number of sinusoids. Unfortunately, such signals are only sparse in the discrete Fourier transform (DFT) domain when the sinusoid frequencies live precisely at the center of the DFT bins. When this is not the case, CS recovery performance degrades significantly. In this paper, we introduce a suite of spectral CS (SCS) recovery algorithms for arbitrary frequency sparse signals. The key ingredients are an over-sampled DFT frame, a signal model that inhibits closely spaced sinusoids, and classical sinusoid parameter e)

这本matlab简单易懂，非常适合初学者，我就是看的这本教程才学会的、(This matlab straightforward, very suitable for beginners, I just look at this tutorial was learned,)