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FFT
数字信号处理中,使用MATLAB进行FFT变换,以满足相应要求(IN the digital signal processing,we can use MATLAB to encode the FFT chanslation,in order to satisfy our demands.)
- 2010-06-29 16:12:07下载
- 积分:1
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pendulumm.m
pendulum stability simulation
- 2012-06-01 21:57:39下载
- 积分:1
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fen_cha
求lorenz系统分岔图,求局部最大值函数(Seeking lorenz system bifurcation diagram, find a local maximum function)
- 2012-09-13 22:50:36下载
- 积分:1
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三种方式实现PSS暂稳分析
用三种方法对电力系统稳定器PSS抑制低频振荡能力进行仿真。1、Matlab程序,计算特征值进行分析(机电振荡模式);2、Simulink仿真(波特图、delta Pa、delta w等波形);3、 C语言(Three ways to demonstrate the function of PSS to suppress low-frequency oscillation. 1 Matlab; 2 Simulink; 3 C)
- 2020-12-30 00:09:00下载
- 积分:1
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ofdm_Systems_Simulation
这是一个相对完整的OFDM通信系统的仿真设计,包括编码,调制,IFFT,上下变频,高斯信道建模,FFT,PAPR抑制,各种同步,解调和解码等模块,并统括系统性能的仿真验证了系统设计的可靠性。
(This is a relatively complete simulation of OFDM communication system design, including coding, modulation, IFFT, and down-conversion, Gaussian channel modeling, FFT, PAPR suppression, a variety of synchronization, demodulation and decoding module, and system performance of the omnibus simulation of the system design reliability.)
- 2010-03-04 17:19:32下载
- 积分:1
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Opt_Steepest
说明: 用最速下降法求最优化解
输入:f为函数名 grad为梯度函数
x0为解的初值 TolX,TolFun分别为变量和函数的误差阈值
dist0为初始步长 MaxIter为最大迭代次数
输出: xo为取最小值的点 fo为最小的函数值
f0 = f(x(0))( Steepest Descent Method with Optimum Solution input: f as a function name grad is gradient function x0 for the solution of the initial TolX, TolFun variables and functions were error threshold dist0 as the initial step MaxIter maximum Diego passage number Output: xo to take the minimum point of fo is the smallest function value f0 = f (x (0)))
- 2011-02-23 13:32:17下载
- 积分:1
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8-(1)
图像修复是对图像中破损区域进行信息填充,以减少图像破损所带来的信息损失的过程。
传统的图像修复方法需要依赖图像的具体结构来制定相应的修复方法,压缩感知理论的提出,使得可以利
用信号的稀疏性来对图像进行修复。基于K 奇异值分解(KSVD)与形态学成分分析(MCA,Morphological
Component Analysis)的图像修复方法首先采用形态学成分分析方法对破损图像进行特征分析,将其分解
为结构部分和纹理部分;然后基于学习型字典KSVD分别对这两部分进行过完备字典训练;最后利用训练得
到的字典实现对破损图像的修复。相比于传统的图像修复方法,该方法具有适应性强、修复效果好等优点(Image inpainting is to fill the missing data in corrupted images and thus to reduce
the information loss of damaged image. Traditional inpainting algorithms are dependent on specific
structure of target images compressive sensing theory makes is possible to realized image
inpainting with signal sparsity. This paper proposes a novel inpainting algorithm based on KSVD
and MCA algorithm, which first decomposes the image into texture part and structure part, and
then trains the two dictionaries for these two parts with KSVD and reconstructs the original image
with these two trained dictionaries. Experiment indicates that the proposed algorithm is of better
adaptability and performance as compared with traditional algorithms.)
- 2020-07-31 15:08:38下载
- 积分:1
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GFCC
4/5000
Acoustics features extraction. GFCC
- 2019-03-14 19:26:01下载
- 积分:1
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Hamming_Weight_Structure
对Hamming(7,4),Hamming(15,11),Hamming(31,26)符号的重量分布用MATLAB进行分析(For Hamming codes a resonably simple means of determining the weight structure is available.)
- 2010-05-23 17:49:16下载
- 积分:1
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getEvrthDist
Function that calculates disturbance response time characteristics
- 2014-08-19 00:03:17下载
- 积分:1