simple-calculator-function

Simulation of Gray coded MQAM in Rayleigh fading

语音信号断点检测MATLAB系统仿真程序详述(Breakpoint detection of speech signals detailed MATLAB simulation program )

有用的文件 matlab程序 对于初学者很有帮助 尤其是广义简约梯度法(Especially useful file matlab program for beginners helpful Generalized Reduced Gradient Method)

说明：  为了减少边缘检测中的噪声影响,设计了一种分数阶差分滤波器,给出了该滤波器的原理,分析了此类滤波器的幅频特性.(In order to reduce the effect of the noise in edge detection,a kind of fractional-order difference filters were designed,whose theory was worked out and amplitude-frequency characteristic were analyzed.)

It implements an IIR filter in distributed arithmetics

matlab遗传算法工具箱函数及实例讲解2 【问题】在－5<=Xi<=5,i=1,2区间内，求解 f(x1,x2)=-20*exp(-0.2*sqrt(0.5*(x1.^2+x2.^2)))-exp(0.5*(cos(2*pi*x1)+cos(2*pi*x2)))+22.71282的最小值。 (matlab genetic algorithm toolbox function and examples to explain the problem [2] in-5 )

仿真对象如下： 其中， v( k )为服从N (0,1) 分布的白噪声。输入信号u ( k) 采用M 序列，幅度为 1。M 序列由 9 级移位寄存器产生，x(i)=x(i-4)⊕x(i-9)。 选择如下辨识模型： 加权阵取Λ = I。 衰减因子β = 0.98，数据长度 L = 402。 辨识结果与理论值比较，基本相同。辨识结果可信 (he simulation object is as follows: among them, v (k) to obey N (0, 1) distribution of white noise. The input signal u (k) using M sequence, amplitude is 1. M sequence by 9 level shift register generation, x (I) = x (I- 4) ⊕ x (I- 9). Choose the identification model: weighted array take Λ = I. Attenuation factor β = 0.98, the data length L = 402. Identify the theoretical calculation and comparison, basically the same. Identification results are reliable)

在matlab R2009b调试通过，欢迎大家下载学习，可以实现模式识别领域的数据的分类及回归，真的是一个好程序，包含CV、CA、Single、当前、恒转弯速率、转弯模型，基于kaiser窗的双谱线插值FFT谐波分析，关于神经网络控制，通过虚拟阵元进行DOA估计。( In matlab R2009b debugging through, Welcome to download the study, You can achieve data classification and regression pattern recognition, Really is a good program, It contains CV, CA, Single, current, constant turn rate, turning model, Dual-line interpolation FFT harmonic analysis kaiser windows, On neural network control, Conducted through virtual array DOA estimation.)

matlab实现傅里叶变换和傅立叶反变换(Implement fft and ifft)

信号与系统——连续与离散_MATLAB文件(Signals and Systems- Continuous and Discrete _MATLAB file)