HOS

基于Matlab系统的信号FFT频谱分析与显示(Matlab FFT-based spectral analysis system signal and display)

利用matlab语言实现常微分方程的求解，可以很好的解决常微分方程问题(Matlab language to achieve the solution of ordinary differential equations, can solve the problems of ordinary differential equations)

In this project, the standard particles swarm optimization - named here (MyPSO) is simulated and tested by five well-known benchmark functions (Sphere, Ackley, Rastrigin, Rosenbrock and Schwefel p2.26). Then, a new mechanism- named here (Improved MyPSO) is introduced to improve the performance of the standard particles swarm optimization to achieve better results and avoid stagnation at bad results. This new mechanism is also tested by the same benchmark functions. The results of improved PSO are then compared with those of standard PSO and different published improved PSO (SPSO, PSO-XD, CPSO-S and PSO-P5).

使用多層感知機來做xor分類，可調整neuron數和目標error大小。(Machine to make use of multi-layer perceptron xor Category)

Reads TDMS files into Matlab. See TDMS_exampleFunctionCalls.m to get started. Advantages: - supports reading v2 files - doesn t require the NI DLL, thus it doesn t require 32bit windows - supports interleaved data - allows only reading names & properties to get a quick feel for what is in the file - Since streaming files can get large (many GB), allows only retrieving subsets of data via keep or ignore flags Doesn t yet support: - big endian files Doesn t support: - files with DAQmx data - files with unsupported Matlab data types (extended float, etc) I haven t written very many wrappers to change the output data into more traditional formats. I d appreciate any submissions of wrappers that people make (like my TDMS_dataToGroupChanStruct_v1 & v2). Thanks! If the function doesn t work for you please let me know.

Simple Standard PSO, Implemented by Matlab

使用matlab进行数值分析时重要的参考资料，具体包含内容可以看英文描述(This text is written primarily for students/readers who have a good background of high school algebra, geometry, trigonometry, and the fundamentals of differential and integral calculus. This text includes the following chapters and appendices: . Introduction to MATLAB . Root Approximations . Sinusoids and Complex Numbers . Matrices and Determinants . Review of Differential Equations . Fourier, Taylor, and Maclaurin Series . Finite Differences and Interpolation . Linear and Parabolic Regression . Solution of Differential Equations by Numerical Methods . Integration by Numerical Methods . Difference Equations . Partial Fraction Expansion . The Gamma and Beta Functions . Orthogonal Functions and Matrix Factorizations . Bessel, Legendre, and Chebyshev Polynomials . Optimization Methods . Difference Equations in Discrete Time Systems . Introduction to Simulink . Ill Conditioned Matrices Each chapter contains numerous practical applications supplemented with detailed instructions for using )

wind energy conversion system connected to grid through matrix converter

BOC信号仿真 自相关 功率谱特性 无模糊度捕获(BOC signal autocorrelation power spectrum without ambiguity capture)

拉格朗日插值，本程序用拉格朗日插值公式对一元不等距观测数据进行程组插值 (Lagrange interpolation)