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matlab例程 PCA人脸识别 This package implements basic Principal Component Analysis in Matlab and tests is with gray
PCA人脸识别 This package implements basic Principal Component Analysis in Matlab and
tests is with grayscale portion of the FERET database. Images are not
preprocessed and it is up to the user to preprocess the images as wanted,
not changing the filenames
人工智能/神经网络 PCA人脸识别 This package implements basic Principal Component Analysis in Matlab and tests is with gray
PCA人脸识别 This package implements basic Principal Component Analysis in Matlab and
tests is with grayscale portion of the FERET database. Images are not
preprocessed and it is up to the user to preprocess the images as wanted,
not changing the filenames
3G开发 This m file models a DPSK UWB system using a delay in one leg of the mixer, correlation receiver low
This m file models a DPSK UWB system using a delay in one leg of the mixer, correlation receiver low pass filter combination requiring no template for synching. Various waveforms are displayed throughout the system to allow the user to observe operation of the system.
数学计算 求标准偏差 > function c=myfunction(x) > [m,n]=size(x) > t=0 > for i=1:numel(x) >
求标准偏差
> function c=myfunction(x)
> [m,n]=size(x)
> t=0
> for i=1:numel(x)
> t=t+x(i)*x(i)
> end
> c=sqrt(t/(m*n-1))
function c=myfunction(x)
[m,n]=size(x)
t=0
for i=1:m
for j=1:n
t=t+x(i,j)*x(i,j)
end
end
c=sqrt(t/(m*n-1
数学计算 求标准偏差 > function c=myfunction(x) > [m,n]=size(x) > t=0 > for i=1:numel(x) >
求标准偏差
> function c=myfunction(x)
> [m,n]=size(x)
> t=0
> for i=1:numel(x)
> t=t+x(i)*x(i)
> end
> c=sqrt(t/(m*n-1))
function c=myfunction(x)
[m,n]=size(x)
t=0
for i=1:m
for j=1:n
t=t+x(i,j)*x(i,j)
end
end
c=sqrt(t/(m*n-1
其他 求标准偏差 > function c=myfunction(x) > [m,n]=size(x) > t=0 > for i=1:numel(x) >
求标准偏差
> function c=myfunction(x)
> [m,n]=size(x)
> t=0
> for i=1:numel(x)
> t=t+x(i)*x(i)
> end
> c=sqrt(t/(m*n-1))
function c=myfunction(x)
[m,n]=size(x)
t=0
for i=1:m
for j=1:n
t=t+x(i,j)*x(i,j)
end
end
c=sqrt(t/(m*n-1
其他 求标准偏差 > function c=myfunction(x) > [m,n]=size(x) > t=0 > for i=1:numel(x) >
求标准偏差
> function c=myfunction(x)
> [m,n]=size(x)
> t=0
> for i=1:numel(x)
> t=t+x(i)*x(i)
> end
> c=sqrt(t/(m*n-1))
function c=myfunction(x)
[m,n]=size(x)
t=0
for i=1:m
for j=1:n
t=t+x(i,j)*x(i,j)
end
end
c=sqrt(t/(m*n-1
汇编语言 MOV P2 ,#0FFH MOV P3 ,#0FFH ACALL DEL AJMP MAIN ORG 0200H DEL: MOV R5,#04H F3: MOV R6,#0FF
MOV P2 ,#0FFH
MOV P3 ,#0FFH
ACALL DEL
AJMP MAIN
ORG 0200H
DEL: MOV R5,#04H
F3: MOV R6,#0FFH
F2: MOV R7,#0FFH
F1: DJNZ R7,F1
DJNZ R6,F2
DJNZ R5,F3
RET
END
单片机开发 The goal of our final project was to design an efficient elevator simulator that can accept input fr
The goal of our final project was to design an efficient elevator simulator that can accept input from a user and mechanically operate (on a small scale) a system of 4 floors and 3 elevators using pulleys and stepper motors. Users enter input using physical pushbuttons or the computer. This input is ...
网络 pashload是应用在linux下的网络带宽测试源程序精确度比较高 ///////////////////////////////////// Pathload is a tool for es
pashload是应用在linux下的网络带宽测试源程序精确度比较高
/////////////////////////////////////
Pathload is a tool for estimating the available bandwidth
of an end-to-end path from a host S (sender) to a host R (receiver).
The available bandwidth is the maximum IP-layer
throughput that a flow can ge ...