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Search - matlab sum - List
[
Speech/Voice recognition/combine
]
fingerprint
DL : 0
Type Classification Code: main.m (program control) discretize.m (converts image to discrete values) plotimg.m (plots images) dirImg.m (computes the directional image) extract.m (extracts square portion of image - called by dirImg) slitSum.m (computes the slit sum direction - called by dirImg) tileImg.m (tiles the image and computes new directions) averImg.m (smoothes the image) angleImg.m (computes the angles from the vector representation) Poincare.m (computes the core-delta points) temp.m (extracts the core-delta points and locations) Correlation Code: proj.m (program control) plotimg.m (plots images) discretize.m (converts image to discrete values) normalize.m (normalizes images) corrfft.m (computes the correlation) -------------------------------------------------------------------------------- -Type Classification Code: main.m (program control) discretize.m (converts image to discrete values) plotimg.m (plots images) dirImg.m (computes the directional image) extract.m (extracts square portion of image- called by dirImg ) slitSum.m (computes the slit sum direction- called by dirImg) tileImg.m (tiles the image and computes new directions) averImg.m (smoothes the image) angleImg.m (computes the angles from the vector representation) Poincare.m (computes the core-delta points) temp.m (extracts the core-delta points and locations) Correlation Code: proj.m (program control) plotimg.m (plots images) discretize.m (converts image to discrete values) normalize. m (normalizes images) corrfft.m (computes the correlation )--------------------------------------------------------------------------------
Date
: 2025-12-16
Size
: 6kb
User
:
小熊
[
Speech/Voice recognition/combine
]
LMS
DL : 0
LMS算法实现自适应滤波 clear close all clc N=10000 设置仿真长度 信号产生参数设定 a1=-0.195 a1=-1.5955 a2=0.95 R0=[1,a1,a2 a1,1+a2,0 a2,a1,1] p=[1,0,0] r=inv(R0)*p 计算理论自相关函数 R=[r(1),r(2) r(2),r(1)] 生成理论自相关矩阵 p1=[r(2),r(3)] 生成互相关 h=inv(R)*p1 计算维纳解 Jmin=r(1)-h *p1 计算维纳解时最小均方误差 u=1/sum(eigs(R- LMS算法实现自适应滤波 clear close all clc N=10000 设置仿真长度 信号产生参数设定 a1=-0.195 a1=-1.5955 a2=0.95 R0=[1,a1,a2 a1,1+a2,0 a2,a1,1] p=[1,0,0] r=inv(R0)*p 计算理论自相关函数 R=[r(1),r(2) r(2),r(1)] 生成理论自相关矩阵 p1=[r(2),r(3)] 生成互相关 h=inv(R)*p1 计算维纳解 Jmin=r(1)-h*p1 计算维纳解时最小均方误差 u=1/sum(eigs(R))
Date
: 2025-12-16
Size
: 1kb
User
:
wan
[
Speech/Voice recognition/combine
]
filterbank1
DL : 0
短时综合的滤波器组相加法的matlab程序的实现,使用的是先调制后滤波的方法-Synthesis filter bank to achieve short-sum method matlab program, using a filter after the first modulation method
Date
: 2025-12-16
Size
: 1kb
User
:
孙婷婷
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