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巴特沃斯低通，巴特沃斯高通滤波器。matlab实现，用于图像平滑处理，去噪。(butworth，filter。)

用于信号特征提取、信号消噪，到达过程是的泊松过程，计算加权加速度,Relief计算分类权重，分析了该信号的时域、频域、倒谱，循环谱等,合成孔径雷达（SAR)目标成像仿真。( For feature extraction, signal de-noising, Arrival process is a Poisson process, Weighted acceleration, Relief computing classification weight, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Synthetic Aperture Radar (SAR) imaging simulation target.)

替代数据生成算法。包括常用的随机相位法(shuffle.m and surrogate.m)，周期随机相位法(cycleshuffle.m)和PPS算法(pps.m and findrho.m).(Surrogate data algorithms, including the usual approaches (shuffle.m and surrogate.m), the cycle shuffle version (cycleshuffle.m) and the PPS algorithm (pps.m and findrho.m). )

利用分步傅里叶方法计算光纤激光器输出脉冲光谱(The use of step-by-step Fourier method pulse fiber laser output spectrum)

This small function is extension of previous one for 3D case

优秀论文及配套源码。首先阐述了负荷预测的应用研究现状，概括了负荷预测的特点及其影响因素，归纳了短期负荷预测的常用方法，并分析了各种方法的优劣；接着介绍了作为支持向量机（SVM）理论基础的统计学习理论和SVM的原理，推导了SVM回归模型；本文采用最小二乘支持向量机（LSSVM）模型，根据浙江台州某地区的历史负荷数据和气象数据，分析影响预测的各种因素，总结了负荷变化的规律性，对历史负荷数据中的“异常数据”进行修正，对负荷预测中要考虑的相关因素进行了归一化处理。LSSVM中的两个参数对模型有很大影响，而目前依然是基于经验的办法解决。对此，本文采用粒子群优化算法对模型参数进行寻优，以测试集误差作为判决依据，实现模型参数的优化选择，使得预测精度有所提高。实际算例表明，本文的预测方法收敛性好、有较高的预测精度和较快的训练速度。(first expounds the recent application research of load forecasting, summarized the characteristics of load forecasting and influencing factors, summed up common methods of short-term load forecasting, and analyzed the advantages and disadvantages of each method then introduced statistical learning theory and the principle of SVM as the basis of support vector machine (SVM ) theory, SVM regression model is derived this paper adopted least squares support vector machine (LSSVM) model, according to the historical load data and meteorological data of a certain area of Zhejiang Taizhou, Analysised the various factors affecting the forecast, summed up the regularity of load change , amended "outliers" in the historical load data,the load forecasting factors to be considered were normalized. The two parameters of LSSVM have a significant impact on the model, but it is still soluted based on the experience currently. So, this paper adopted particle swarm optimization algorithm to optimized )

MATLAB模拟高通滤波器最简洁实现与性能测试(MATLAB simulation of high pass filter is the most concise implementation and performance test )

可见光通信系统中单点光源的均方根时延扩展的仿真源代码(DRMS in vsible light communication)

Function direct I Filter Call: [Y,Zf]=FDI(B,A,X,Zi) Parameters A(N), B(M), X(L)and Y(L) as in FILTER. Input Parameters: Zi(max(N,M)-1,2): Conditions iniciales. Zi(:,1): from zeros. Zi(:,2): from polos. Output Parameters: Zf(max(N,M)-1,2): final conditions. Zf(:,1): from zeros. Zf(:,2): from polos.

code NRZ nodeur NRZ sous matlab