pinlv

研一刚上完数值分析，自己写了几个算法的子函数，可以直接调用，参数的含意在文件中有说明，这五个算法分别是：拉格朗日插值，hermite插值，Newton插值，修正hamming算法，龙贝格加速算法。希望能够对大家有所帮助。(Kenichi just finished numerical analysis, himself wrote a number of algorithms Functions, you can directly call the meaning of the parameters described in the document, the five algorithms are: Lagrange interpolation, hermite interpolation, Newton interpolation value, as amended Hamming algorithm to accelerate the algorithm Romberg. We hope to be able to help.)

一维连续功率谱分析 一维序列x(n)的连续功率谱分析，ol(0:m)频率，tl(0:m)周期，sl(0:m)连续功率谱，st95(0:m)红噪音或白噪音谱的95 置信上限，strw(0:m) 红噪音或白噪音的谱密度，其中m=[n/2.]。 (Continuous power spectral analysis of one-dimensional one-dimensional sequence x (n) of continuous power spectrum analysis, ol (0: m) frequency, tl (0: m) cycle, sl (0: m) continuous power spectrum, st95 (0: m ) red noise or white noise spectrum of the 95 confidence limit, strw (0: m) of red noise or white noise spectral density, where m = [n/2.].)

恒润科技，matlab手册，里面有matlab相关模块的介绍，可以说面面俱到，很详细。(Hengrun technology, matlab manuals, which have matlab introduce relevant modules can be said to be comprehensive, very detailed.)

正弦周期信号的随机共振，不同于以往微弱信号检测中的抑制噪声，随机共振能通过噪声加强信号传输能力( We present the numerical method to solve the bistable SR model based on Runge-Kutta algorithm, and propose a new kind of approach for detecting weak signal, which can effectively detect both period and aperiodic weak signals corrupted by the strong noise background. )

Imformation about DAB

These are matlab and simulink files to model the membrane crystallization system, including the matlab file to get the optimation point of this system, and 3 simulink files, which are static model and 2 dynamic models. There has PID control and feed forward control for the dynamic models.

说明：  线性啁啾布拉格光栅的光学特性研究 理论研究 尚无仿真(Linearly chirped Bragg grating optical properties of theory there is no simulation)

这是用于遥感数据处理中的相对定向及绝对定向及坐标的七参数转换的程序。具有一定代表性，欢迎试用。(This is for the processing of remote sensing data on the relative and absolute directional and directional coordinates of the seven parameters of the conversion process. Certain representative, welcomed the trial.)

凹边形判定算法，可用Matlab编程,也可用Mathematica软件编程(Concave gon determination algorithm, Matlab programming available, can also be used Mathematica software programming)

[model] = SVMTRAIN(X, Y, C, kernelFunction, tol, max_passes) trains an SVM classifier and returns trained model. X is the matrix of training examples. Each row is a training example, and the jth column holds the jth feature. Y is a column matrix containing 1 for positive examples and 0 for negative examples. C is the standard SVM regularization parameter. tol is a tolerance value used for determining equality of floating point numbers. max_passes controls the number of iterations over the dataset (without changes to alpha) before the algorithm quits.