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zaoshengguoxitong
一个关于量化噪声分析的程序。代码不长仅供参考。学生试验专用。(One of the quantization noise analysis program. The code is not long for reference only. Students of special test.)
- 2012-04-20 08:13:45下载
- 积分：1
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Ge
说明： Gauss elimination method to solve system of equations
- 2014-02-08 23:23:44下载
- 积分：1
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driven_cavity_div_RK2
Matlab script for solution to the driven cavity problem on a staggered grid using a divergence formulation and second-order Runge-Kutta time integration.
- 2009-03-27 18:48:21下载
- 积分：1
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ZtransformusingMatlab
Z-transform, like the Laplace transform, is an indispensable mathematical
tool for the design, analysis and monitoring of systems. The z-transform is
the discrete-time counter-part of the Laplace transform and a generalization
of the Fourier transform of a sampled signal. Like Laplace transform the z-
transform allows insight into the transient behavior, the steady state
behavior, and the stability of discrete-time systems. A working knowledge
of the z-transform is essential to the study of digital filters and systems.
- 2012-04-16 14:22:57下载
- 积分：1
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FIR
基于matlab GUI的一个滤波，运用FIR和IIR算法(A filter based on matlab GUI, use of FIR and IIR algorithm
)
- 2013-05-14 23:27:34下载
- 积分：1
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SamplingSingal
This source code is for the Sampling Signal
- 2011-06-14 04:48:01下载
- 积分：1
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IBP-algorithm
迭代反投影算法 基于多图帧偏移的IBP算法(Iterative back projection algorithm)
- 2021-01-31 21:50:08下载
- 积分：1
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QAM16（1）
说明： 主要介绍16QAM调制算法，以及这个算法的简单应用(This paper mainly introduces the 16QAM modulation algorithm and its simple application.)
- 2020-06-24 11:00:02下载
- 积分：1
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IterativeClosestPointMethod
ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points.
Ordinary usage:
[R, T] = icp(model,data)
INPUT:
model - matrix with model points,
data - matrix with data points,
OUTPUT:
R - rotation matrix and
T - translation vector accordingly
so
newdata = R*data + T .
newdata are transformed data points to fit model
see help icp for more information
(ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points.
Ordinary usage:
[R, T] = icp(model,data)
INPUT:
model- matrix with model points,
data- matrix with data points,
OUTPUT:
R- rotation matrix and
T- translation vector accordingly
so
newdata = R*data+ T .
newdata are transformed data points to fit model
see help icp for more information
)
- 2007-09-09 16:06:34下载
- 积分：1
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Floyd
基于MATLAB的 Floyd最短路算法(MATLAB-based shortest path algorithm of Floyd)
- 2008-04-01 11:54:45下载
- 积分：1
