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myKalman
- 卡尔曼滤波器matlab源代码。 function [Y,PY,KC]=myKalman(x,A,B,Q,H,R,y0,P0) 这是我课程设计时做的。-Source code of kalman filter using matlab. function [Y,PY,KC]=myKalman(x,A,B,Q,H,R,y0,P0) This is made by me for my course design。
IIR滤波器设计
- 现有一个信号：x(n)=1+cos(π*n/4)+ cos(2*π*n/3)设计及各种数字滤波器以达下列目的： 低通滤波器，滤除cos(2*π*n/3) 的成分，即想保留的成分为1+cos(π*n/4) 高通滤波器，滤除1+cos(π*n/4) 的成分，即想保留的成分为cos(2*π*n/3) 带通滤波器，滤除1+cos(2*π*n/3) 的成分，即想保留的成分为cos(π*n/4) 带阻滤波器，滤除cos(π*n/4) 的成分，即想保留的成分为1+cos(2*π*n/3)
Volterra_MultiStepPred_luzhenbo
- 基于Volterra滤波器混沌时间序列多步预测 作者：陆振波，海军工程大学 欢迎同行来信交流与合作，更多文章与程序下载请访问我的个人主页 电子邮件：luzhenbo@sina.com 个人主页：luzhenbo.88uu.com.cn 参考文献： 1、张家树.混沌时间序列的Volterra自适应预测.物理学报.2000.03 2、Scott C.Douglas, Teresa H.-Y. Meng, Normalized Data Nonlineariti
eulerany
- Euler方法解 程序，使之适用于任意右端函数f,任意步长h和任意区间[to,T]。用h=1/4,1/8,1/16分别计算初值问题 -Euler method Solutions program, which applies to arbitrary subguadratic function f, arbitrary step h and arbitrary interval [to T]. With h = 1 / 4, 1 / 8, 1 / 16 were calculat
freqz_m
- 求取系统的绝对幅度响应、相对的db值幅度响应、相位响应和群延时响应的函数 ％ ％db为相对振幅(dB) ％mag为绝对振幅 ％pha为相位响应 ％grd为群延时 ％w为频率样本点向量 ％b为Ha(z)分子多项式系数(对FIR而言，b=h) ％a为Hz(z)分母多项式系数(对FIR而言，a=1) ％-strike rate system in response to the absolute and relative value range db respons
咖吗滤波matlab
- function [h,s,v] = rgb2hsv(r,g,b) %RGB2HSV Convert red-green-blue colors to hue-saturation-value. % H = RGB2HSV(M) converts an RGB color map to an HSV color map. % Each map is a matrix with any number of rows, exactly three
image resampling
- %This is a simple function that resamples the image %at a different pixel size function nimg = imresample(oldpixsize,img,newpixsize,intmethod) % This function resamples the images at the new grid points % defined by the new pixel sizes. It
1st
- Simulink工具编写代码(MATLAB Function方式)，产生一单径瑞利信道，其多普勒谱为经典谱，其中移动速率为120km/h，含理论描述多普勒经典谱-Simulink tools for writing code (MATLAB Function mode) to produce a single path Rayleigh channel, the Doppler spectrum for the classical spectrum, where mobile speed of
Matlab_Support_Vector_Machine_Toolbox
- This toolbox was designed as a teaching aid, which matlab is particularly good for since source code is relatively legible and simple to modify. However, it is still reasonably fast if used with the supplied optimiser. However, if you really wa
IIR
- IIR数字滤波器的特点是h(n)为无限长序列。设计的基本思想是：模拟系统与离散系统存在着互相模仿的理论基础，所以可以让数字滤波器的特性去模仿一个模拟滤波器的特性，得到数字滤波器的H(z)，H( )之间的变换关系。设计时，先设计一个模拟滤波器的传递函数 ，然后通过s变量与z变量之间的变换关系求出数字滤波器的系统函数H(z)。-IIR digital filter is characterized by h (n) for infinitely long sequence. The basic id
time.h
- 头文件 ”time.h” 下的函数： Clocl_t和tine_t都可以将系统的时间和日期标示为长整形。 结构类型 tm 保存分解的日期和时间元素。 Tm的结构定义如下： -Header file " time.h" function under: Clocl_t and tine_t can the system time and date indicated for the long plastic. Decomposition structure type
Main
- The recursive function H(T) Calculate the Expected number of failures in (0,T], for Weibull distribution Assumption: T s unit is a day, the smallest time unit.
attachments_2011_03_17
- its part of h.264 function
linear-discrimination-function
- Fisher、H-K、Perceptron算法实现线性判别函数-Fisher, HK, Perceptron algorithm linear discriminant function
hilb
- The Hilbert transform is a linear operator which takes a function, u(t), and produces a function, H(u)(t), with the same domain.
HSJZ
- function [ H ,S ] = HS( f ) UNTITLED2 Summary of this function goes here Detailed explanation goes here syms x1 x2 f1=diff(f,x1) f2=diff(f,x2) S= [f1 f2] H = [diff(f1,x1) diff(f1,x2) diff(f2,x1) diff(f2,x2)] end s0=sub
FIR2
- 利用MATLAB实现 FIR滤波器设计与滤波的方法，而且方法简单、快捷，大大减轻了工作量。滤波器的设计工作完成后，可以借助于MATLAB的export操作导出所设计滤波器的系统函数H(z)。简化了工作量-FIR filter design using MATLAB and filtering method, and the method is simple, fast, greatly reducing the workload. Filter design work is completed,
fdbk1
- 闭环系统所有可能的输入输出传函 ∈ H∞（又称为全稳定 total stability ） -Closed-loop system for all possible input-output transfer function ∈ H ∞ (also known as full stable total stability)
Bretschneider
- function [H T] = Bretschneider(F,U,D) functie [H T] = Bretschneider(F,U,D) F= fetchlengte (m) U =windsnelheid (m/s) D= depth (m) Depth dependend Bretschneider formulag. see Sorensen, R.M. (1993). Basic Wave Mechanics for
hinf
- 使用hinf函数求解频域回路整形混合灵敏度问题的控制器(Using Hinf function to solve frequency domain loop shaping controller)