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sin_cos_path_tracing_animation
- sin & cos path tracing in Matlab
MySInterp
- 本程序是用于信号频谱分析的实验程序。 主要功能是进行信号的幅值谱计算；同时可完成在选定范围内谱峰的精确频率、幅值和相位计算（计算结果为cos相位）。- This procedure is used to test the program signal spectrum analysis. Main function is to calculate the signal amplitude spectrum the same spectral peaks can be comple
sin-cos
- Cosinor analysis uses the least squares method to fit a sine wave to a time series. Cosinor analysis is often used in the analysis of biologic time series that demonstrate predictible rhythms. This method can be used with an unequally spa
cos--sin
- t - time series y - value of series at time t w - cycle length, defined by user based on prior knowledge of time series alpha - type I error used for cofidence interval calculations. Usually set to be 0.05 which corresponds with 9
Modeling-Rayleigh-fading-channel-based-on-modifie
- This Matlab Code models a Rayleigh fading channel using a modified Jakes channel model. A modified Jakes model chooses slightly different spacings for the scatterers and scales their waveforms using Walsh–Hadamard sequences to ensure zero cross-co
yichuansuanfa1
- 通过遗传算法计算下列函数的最大值 f(x)=10*sin(5x)+7*cos(4x) x∈[0,10]-The following functions calculate the maximum by genetic algorithm f(x)=10*sin(5x)+7*cos(4x) x∈[0,10]
yichuansuanfa3
- 通过遗传算法计算下列函数的全局最优值 y(t)=(x2(t)-5.1/(4*pi ).*x1(t).^2+5/pi.*x1(t)-6).^2+10.*(1-1/(8*pi)).*cos(x1(t))+10-Global calculate the following functions by genetic algorithms optimal value y(t)=(x2(t)-5.1/(4*pi*pi).*x1(t).^2+5/pi.*x1(t)-6).^2+10.*(1-1/(8*
Genetic_Algorithm_Sin_Max
- 遗传算法计算三角函数范围内最大值。windows控制台环境-Genetic Algorithm. For max value in the given range. y = 10*sin(5x)+ 7*cos(4x)
GA
- 以求f(x)=10*sin(5x)+7*cos(4x) x∈[0,10]最大值为例，详细讲解并实现了遗传算法各个阶段的编程 -Take to solve the maximum of f(x)=10*sin(5x)+7*cos(4x) x∈[0,10] for example, to explain in detail the various stages of the programming and implementation of Genetic Algorithms
matlab
- 完成一个图形界面程序，试求解二阶微分方程y (t)= -3 cos(2t) +2sin(t)+t-3.8的数值解，并将数值解和解析画在同一图形窗口中进行比较,对图形进行标识,能够在界面输入初值和时间范围。-Completed a graphical interface program, try to solve the differential equation of second order y (t) =- 3 cos (t) 2+ 2 sin (t)+ t- 3.8 numerical
ACO
- MATLAB实数编码的蚁群算法源程序，M文件 函数1：f=cos(2*pi.*x).*cos(2*pi.*y).*exp(-((x.^2+y.^2)/10)) 函数2：f=exp(-2*log(2).*((x-0.1)./0.8).^2).*(sin(5*pi.*x)).^6 函数3：f=(3./(0.05+(x.^2+y.^2))).^2+(x.^2+y.^2).^2 函数1带有注释-MATLAB real-coded ant colony algorithm source,
mircogird
- 电压暂降正周期有效值,是四案例工程中比较常见的算法。-t=0:0.0002:0.2 y=cos(100*pi*t) y1=0.5*cos(100*pi*t) y(200:600)=y1(200:600) for i=1:1:901 u(i)=sqrt(sum(y(i:i+99).^2)/100) end plot(u) xlable( 采样点数 ) ylable( u )
calculator-2.1
- 利用堆栈实现的计算器，支持各级运算、sin、cos、阶乘、括号等。-Use the stack to achieve the calculator, support, sin, cos, operation at all levels, such as factorial brackets
牛顿法迭代
- function main() clc; clear all; f = @(x)log(x+sin(x)); % 测试函数 df = @(x)(1+cos(x))/(x+sin(x)); % 导数函数 x0 = 0.1; % 迭代初值 x = TestNewton(f, df, x0) % 牛顿法求解 function x = TestNewton(fname, dfname, x0, e, N) % 用途：Newton迭代法解非线性方程f(x)=0 % fname和df
cos
- 通信系统中用matlab实现升余弦滚降波形的眼图及功率谱-Communication system using matlab realize Raised Cosine waveform and power spectrum eye
Matlab_-_Simulink-2015-11-07
- Matlab code and simulink model to caculate sin and cos using Cordic alogrithm
model
- 产生一组均值为1，方差为4的正态分布随机序列（1000个样本），估计该序列的均值与方差； 已知x(n)=sin(2*pi*f1*n)+2*cos(2*pi*f2*n)+w(n),w(n)为正态分布白噪声,求相关函数和功率谱的m文件-Known x (n) = sin (2* pi* f1* n)+ 2* cos (2* pi* f2* n)+ w (n), w (n) is normally distributed white noise, seeking correlation funct
cordic
- verilog编写的数字信号发生器NCO用CORDIC方法实现产生sin cos信号，流水线结构，简单实用。-verilog prepared by the digital signal generator NCO using CORDIC method implementation generate sin cos signal, pipelined architecture, simple and practical。
fft-computing-sin-cos-FIG.
- fft计算sin_cos图,有代码和仿真效果图，体验fft和频谱特性-fft calculation sin_cos graph, code and simulation renderings, experience fft and spectral characteristics
particle-swarm-optimization
- 利用粒子群优化算法寻找下列多元函数的最大值：f(x, y) = x*cos(2*pi*y) + y*sin (2*pi*x) -2≤x≤2，-2≤y≤2 要求输出最优解、最优解对应的x和y值，以及粒子群优化算法迭代过程中的适应度函数进 化曲线。-Maximum use of particle swarm optimization algorithm to find the following multivariate function: f (x, y) = x*