Hello everyone,

I am currently simulating a 2D-to-3D image registration pipeline to estimate 6D transformations (3D translations and 3 rotations) using two orthogonal X-ray detectors. From each detector, I can calculate the in-plane transformations (X, Y, Theta) and the out-of-plane rotations (Roll).

My question is whether it is possible to compute the full 6D transformation (3 translations and 3 rotations) using the information provided (X, Y, Theta, Roll).

I would greatly appreciate any insights or suggestions regarding this topic.

Thank you!Hello everyone,

I am currently simulating a 2D-to-3D image registration pipeline to estimate 6D transformations (3D translations and 3 rotations) using two orthogonal X-ray detectors. From each detector, I can calculate the in-plane transformations (X, Y, Theta) and the out-of-plane rotations (Roll).

My question is whether it is possible to compute the full 6D transformation (3 translations and 3 rotations) using the information provided (X, Y, Theta, Roll).

I would greatly appreciate any insights or suggestions regarding this topic.

Thank you! Hello everyone,

I am currently simulating a 2D-to-3D image registration pipeline to estimate 6D transformations (3D translations and 3 rotations) using two orthogonal X-ray detectors. From each detector, I can calculate the in-plane transformations (X, Y, Theta) and the out-of-plane rotations (Roll).

My question is whether it is possible to compute the full 6D transformation (3 translations and 3 rotations) using the information provided (X, Y, Theta, Roll).

I would greatly appreciate any insights or suggestions regarding this topic.

Thank you! 2d-to-3d image registration, 6d transformations MATLAB Answers — New Questions

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I want to develop hardware in loop model using STM32 microcontroller hardware. Prior to that, I want to do simulation with virtual model of hardware. It means the mechanism, motors and hardware, all are virtual. Is such facility available in MATLAB for STM32 or for any other hardware?I want to develop hardware in loop model using STM32 microcontroller hardware. Prior to that, I want to do simulation with virtual model of hardware. It means the mechanism, motors and hardware, all are virtual. Is such facility available in MATLAB for STM32 or for any other hardware? I want to develop hardware in loop model using STM32 microcontroller hardware. Prior to that, I want to do simulation with virtual model of hardware. It means the mechanism, motors and hardware, all are virtual. Is such facility available in MATLAB for STM32 or for any other hardware? hil, stm32, hardware MATLAB Answers — New Questions

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Hi,
I’m trying to import Mosfet Model parameters from PLECS .xml file provided by Wolfspeed using ee_importDeviceParameters function, however, I keep getting this error:

I have already inserted a mosfet block in Simulink with the body diode included and I use the function like this.
ee_importDeviceParameters("E3M0040120J2.xml","wolfspeed","untitled/MOSFET (Ideal, Switching)", GateResistanceOn=1, GateResistanceOff=1)
Is there anything I am missing?
Thanks in advance!Hi,
I’m trying to import Mosfet Model parameters from PLECS .xml file provided by Wolfspeed using ee_importDeviceParameters function, however, I keep getting this error:

I have already inserted a mosfet block in Simulink with the body diode included and I use the function like this.
ee_importDeviceParameters("E3M0040120J2.xml","wolfspeed","untitled/MOSFET (Ideal, Switching)", GateResistanceOn=1, GateResistanceOff=1)
Is there anything I am missing?
Thanks in advance! Hi,
I’m trying to import Mosfet Model parameters from PLECS .xml file provided by Wolfspeed using ee_importDeviceParameters function, however, I keep getting this error:

I have already inserted a mosfet block in Simulink with the body diode included and I use the function like this.
ee_importDeviceParameters("E3M0040120J2.xml","wolfspeed","untitled/MOSFET (Ideal, Switching)", GateResistanceOn=1, GateResistanceOff=1)
Is there anything I am missing?
Thanks in advance! mosfet, simscape MATLAB Answers — New Questions

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When generating code from the same Simulink file on two different computers, type casting is not generated on one computer.

This appears to be a setting somewhere other than the Simulink file itself.

Please review this inquiry and respond.When generating code from the same Simulink file on two different computers, type casting is not generated on one computer.

This appears to be a setting somewhere other than the Simulink file itself.

Please review this inquiry and respond. When generating code from the same Simulink file on two different computers, type casting is not generated on one computer.

This appears to be a setting somewhere other than the Simulink file itself.

Please review this inquiry and respond. type casting, code generation, simulink, matlab MATLAB Answers — New Questions

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Hello! I have a matrix were each value contains a level of intensity. I do some data manipulation on my data, and create these plots. My function that removes the ghost rings is horrible because it pouches everything. My goal is to only pouch the shadow ring. Can I get some advice on how to deal with it? TThanks!Hello! I have a matrix were each value contains a level of intensity. I do some data manipulation on my data, and create these plots. My function that removes the ghost rings is horrible because it pouches everything. My goal is to only pouch the shadow ring. Can I get some advice on how to deal with it? TThanks! Hello! I have a matrix were each value contains a level of intensity. I do some data manipulation on my data, and create these plots. My function that removes the ghost rings is horrible because it pouches everything. My goal is to only pouch the shadow ring. Can I get some advice on how to deal with it? TThanks! image processing, artifact removal MATLAB Answers — New Questions

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Hi,
I’m currently working with the Deep Learning HDL Toolbox and would like to integrate the generated IP core into my own RTL design.
I used Wireshark to capture the traffic between MATLAB and the board, and I can now “run” the core by replaying those packets.
However, I haven’t been able to reverse-engineer the full initialization sequence: loading the network weights into external DDR, programming the configuration registers, and completing any hidden hand-shakes that happen before the first inference.
When I let MATLAB drive the board the same bit-stream works perfectly, so the missing piece is clearly the initialization flow.
Could you point me to the register map, the required power-on sequence, or any documentation that explains how to bring the Deep Learning IP out of reset and validate that it is ready to accept input data?
Thank you very much for your help.
Best regards.
Looking forward to your reply.Hi,
I’m currently working with the Deep Learning HDL Toolbox and would like to integrate the generated IP core into my own RTL design.
I used Wireshark to capture the traffic between MATLAB and the board, and I can now “run” the core by replaying those packets.
However, I haven’t been able to reverse-engineer the full initialization sequence: loading the network weights into external DDR, programming the configuration registers, and completing any hidden hand-shakes that happen before the first inference.
When I let MATLAB drive the board the same bit-stream works perfectly, so the missing piece is clearly the initialization flow.
Could you point me to the register map, the required power-on sequence, or any documentation that explains how to bring the Deep Learning IP out of reset and validate that it is ready to accept input data?
Thank you very much for your help.
Best regards.
Looking forward to your reply. Hi,
I’m currently working with the Deep Learning HDL Toolbox and would like to integrate the generated IP core into my own RTL design.
I used Wireshark to capture the traffic between MATLAB and the board, and I can now “run” the core by replaying those packets.
However, I haven’t been able to reverse-engineer the full initialization sequence: loading the network weights into external DDR, programming the configuration registers, and completing any hidden hand-shakes that happen before the first inference.
When I let MATLAB drive the board the same bit-stream works perfectly, so the missing piece is clearly the initialization flow.
Could you point me to the register map, the required power-on sequence, or any documentation that explains how to bring the Deep Learning IP out of reset and validate that it is ready to accept input data?
Thank you very much for your help.
Best regards.
Looking forward to your reply. fpga, deep learning ip core, initialize MATLAB Answers — New Questions

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Hi, i’m trying to use t_tide_v1.4beta using matlab R2016a in 2 ways like in t_tide example but the result of the harmonic constants is not similar and the prediction is not similar between prediction also offseted to the observation data. Help me please. Herewith the code and the data that I use.
Code:
clear
clc

%format LONGG
%load t_example
% load data excel
data = readtable(‘D:TestT_Tidet_tide_v1.4betakmna_wnan.xlsx’);

time_axis = datetime(data.waktu);

data_time = datenum(time_axis);
obs_value = data.ukuran;

% Analisis Harminik
%—————————————————————————

% Way 1
% analisys
[NAME,FREQ,TIDECON,XOUT] = t_tide(obs_value,’interval’,1,’start’,data_time(1),’latitude’,-3.66295,’synthesis’,1);
% prediction
YOUT=t_predic(data_time,NAME,FREQ,TIDECON,’latitude’,-3.66295,’synthesis’,1);

% Way 2
% analisys
[HarKons,XOUT2]=t_tide(obs_value,’interval’,1,’start’,data_time(1),’latitude’,-3.66295,’rayleigh’,1,’synthesis’,1);
% prediction
% YOUT=T_PREDIC(TIM,TIDESTRUC,…)
YOUTHarKons1=t_predic(data_time,HarKons,’latitude’,-3.66295,’synthesis’,1);
YOUTHarKons2=t_predic(data_time,HarKons);

%% visualisasi
figure(1)
plot(time_axis,obs_value,’b’,’LineWidth’,1.5); hold on
plot(time_axis,XOUT,’r–‘,’LineWidth’,1.5); hold on
plot(time_axis,YOUT,’c.’,’LineWidth’,1.5); hold on
plot(time_axis,YOUTHarKons1,’kx’,’LineWidth’,1.5); hold on
plot(time_axis,YOUTHarKons2,’ko’,’LineWidth’,1.5); hold on
title(‘Tidal Elevation’,’FontSize’,14,’fontWeight’,’b’)
legend({‘obs_value’, ‘XOUT’, ‘YOUT’, ‘YOUTHarKons1’, ‘YOUTHarKons2′},’FontSize’, 10, ‘FontWeight’, ‘bold’, ‘Location’, ‘northeastoutside’);
xlabel(‘Time’,’FontSize’,14,’FontWeight’,’b’)
ylabel(‘Elevation (m)’,’FontSize’,14,’FontWeight’,’b’)
% Format sumbu X agar menampilkan tanggal/waktu
% datetick(‘x’, ‘dd/mm/yyyy HH:MM:ss’, ‘keepticks’, ‘keeplimits’)
grid on

Tidal graph obs_value and prediction:

Data:Hi, i’m trying to use t_tide_v1.4beta using matlab R2016a in 2 ways like in t_tide example but the result of the harmonic constants is not similar and the prediction is not similar between prediction also offseted to the observation data. Help me please. Herewith the code and the data that I use.
Code:
clear
clc

%format LONGG
%load t_example
% load data excel
data = readtable(‘D:TestT_Tidet_tide_v1.4betakmna_wnan.xlsx’);

time_axis = datetime(data.waktu);

data_time = datenum(time_axis);
obs_value = data.ukuran;

% Analisis Harminik
%—————————————————————————

% Way 1
% analisys
[NAME,FREQ,TIDECON,XOUT] = t_tide(obs_value,’interval’,1,’start’,data_time(1),’latitude’,-3.66295,’synthesis’,1);
% prediction
YOUT=t_predic(data_time,NAME,FREQ,TIDECON,’latitude’,-3.66295,’synthesis’,1);

% Way 2
% analisys
[HarKons,XOUT2]=t_tide(obs_value,’interval’,1,’start’,data_time(1),’latitude’,-3.66295,’rayleigh’,1,’synthesis’,1);
% prediction
% YOUT=T_PREDIC(TIM,TIDESTRUC,…)
YOUTHarKons1=t_predic(data_time,HarKons,’latitude’,-3.66295,’synthesis’,1);
YOUTHarKons2=t_predic(data_time,HarKons);

%% visualisasi
figure(1)
plot(time_axis,obs_value,’b’,’LineWidth’,1.5); hold on
plot(time_axis,XOUT,’r–‘,’LineWidth’,1.5); hold on
plot(time_axis,YOUT,’c.’,’LineWidth’,1.5); hold on
plot(time_axis,YOUTHarKons1,’kx’,’LineWidth’,1.5); hold on
plot(time_axis,YOUTHarKons2,’ko’,’LineWidth’,1.5); hold on
title(‘Tidal Elevation’,’FontSize’,14,’fontWeight’,’b’)
legend({‘obs_value’, ‘XOUT’, ‘YOUT’, ‘YOUTHarKons1’, ‘YOUTHarKons2′},’FontSize’, 10, ‘FontWeight’, ‘bold’, ‘Location’, ‘northeastoutside’);
xlabel(‘Time’,’FontSize’,14,’FontWeight’,’b’)
ylabel(‘Elevation (m)’,’FontSize’,14,’FontWeight’,’b’)
% Format sumbu X agar menampilkan tanggal/waktu
% datetick(‘x’, ‘dd/mm/yyyy HH:MM:ss’, ‘keepticks’, ‘keeplimits’)
grid on

Tidal graph obs_value and prediction:

Data: Hi, i’m trying to use t_tide_v1.4beta using matlab R2016a in 2 ways like in t_tide example but the result of the harmonic constants is not similar and the prediction is not similar between prediction also offseted to the observation data. Help me please. Herewith the code and the data that I use.
Code:
clear
clc

%format LONGG
%load t_example
% load data excel
data = readtable(‘D:TestT_Tidet_tide_v1.4betakmna_wnan.xlsx’);

time_axis = datetime(data.waktu);

data_time = datenum(time_axis);
obs_value = data.ukuran;

% Analisis Harminik
%—————————————————————————

% Way 1
% analisys
[NAME,FREQ,TIDECON,XOUT] = t_tide(obs_value,’interval’,1,’start’,data_time(1),’latitude’,-3.66295,’synthesis’,1);
% prediction
YOUT=t_predic(data_time,NAME,FREQ,TIDECON,’latitude’,-3.66295,’synthesis’,1);

% Way 2
% analisys
[HarKons,XOUT2]=t_tide(obs_value,’interval’,1,’start’,data_time(1),’latitude’,-3.66295,’rayleigh’,1,’synthesis’,1);
% prediction
% YOUT=T_PREDIC(TIM,TIDESTRUC,…)
YOUTHarKons1=t_predic(data_time,HarKons,’latitude’,-3.66295,’synthesis’,1);
YOUTHarKons2=t_predic(data_time,HarKons);

%% visualisasi
figure(1)
plot(time_axis,obs_value,’b’,’LineWidth’,1.5); hold on
plot(time_axis,XOUT,’r–‘,’LineWidth’,1.5); hold on
plot(time_axis,YOUT,’c.’,’LineWidth’,1.5); hold on
plot(time_axis,YOUTHarKons1,’kx’,’LineWidth’,1.5); hold on
plot(time_axis,YOUTHarKons2,’ko’,’LineWidth’,1.5); hold on
title(‘Tidal Elevation’,’FontSize’,14,’fontWeight’,’b’)
legend({‘obs_value’, ‘XOUT’, ‘YOUT’, ‘YOUTHarKons1’, ‘YOUTHarKons2′},’FontSize’, 10, ‘FontWeight’, ‘bold’, ‘Location’, ‘northeastoutside’);
xlabel(‘Time’,’FontSize’,14,’FontWeight’,’b’)
ylabel(‘Elevation (m)’,’FontSize’,14,’FontWeight’,’b’)
% Format sumbu X agar menampilkan tanggal/waktu
% datetick(‘x’, ‘dd/mm/yyyy HH:MM:ss’, ‘keepticks’, ‘keeplimits’)
grid on

Tidal graph obs_value and prediction:

Data: t_tide MATLAB Answers — New Questions

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When using MATLAB/Simulink to control an Ettus USRP B210, I encountered the following issue: I modified several parts of the UHD driver and compiled it into a .so file. I want to replace the .so file used by Simulink with my own version, but an error indicates that libtre_hash.so.2 is missing. Is it possible to use my modified driver with Simulink to control the USRP?When using MATLAB/Simulink to control an Ettus USRP B210, I encountered the following issue: I modified several parts of the UHD driver and compiled it into a .so file. I want to replace the .so file used by Simulink with my own version, but an error indicates that libtre_hash.so.2 is missing. Is it possible to use my modified driver with Simulink to control the USRP? When using MATLAB/Simulink to control an Ettus USRP B210, I encountered the following issue: I modified several parts of the UHD driver and compiled it into a .so file. I want to replace the .so file used by Simulink with my own version, but an error indicates that libtre_hash.so.2 is missing. Is it possible to use my modified driver with Simulink to control the USRP? simulink, ，r2023b MATLAB Answers — New Questions

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I find very convenient that Matlab allows for implicit expansion since the 2016 version (for an explanation, see this nice article: https://blogs.mathworks.com/loren/2016/10/24/matlab-arithmetic-expands-in-r2016b/?s_tid=blogs_rc_1).
I was then puzzled to discover that arrayfun on the cpu does not allow for it, while arrayfun when called with gpu arrays does allow for implicit expansion. Below is a MWE to demonstrate this behavior.
Let me quickly explain it: if I have two vectors x with size [2,1] and y with size [1,2], I can calculate the sum x+y and get a matrix 2*2 as intended. This is better than the ugly and more memory-intensive
repmat(x,1,2)+repmat(y,2,1)
Unfortunately this does not work with arrayfun on the cpu!
Since I code both using normal arrays and GPU arrays, I find this different behavior of arrayfun quite misleading. It would be great if Matlab could allow implicit expansion also on arrayfun cpu. When I have large arrays, duplicating dimensions with repmat takes a lot of memory.
%% Demonstration of implicit expansion support in MATLAB and arrayfun
% This script shows that:
% 1) MATLAB supports implicit expansion for standard array operations.
% 2) arrayfun on the GPU supports implicit expansion.
% 3) arrayfun on the CPU does NOT support implicit expansion!!
%
% Implicit expansion allows a 2×1 vector to be added to a 1×2 vector,
% producing a 2×2 matrix.

clear; clc; close all;

% Define test vectors
x = [1; 2]; % Column vector (2×1)
y = [1, 2]; % Row vector (1×2)

%% Implicit expansion using standard MATLAB operations
F1 = myadd(x, y);

%% Implicit expansion using arrayfun on the GPU
F2 = arrayfun(@myadd, gpuArray(x), gpuArray(y));

%% Attempt implicit expansion using arrayfun on the CPU (expected to fail)
try
F3 = arrayfun(@myadd, x, y);
catch ME
fprintf(‘CPU arrayfun error (expected):n%snn’, ME.message);
end

%% Function myadd
function F = myadd(x, y)
% Element-wise addition
F = x + y;
endI find very convenient that Matlab allows for implicit expansion since the 2016 version (for an explanation, see this nice article: https://blogs.mathworks.com/loren/2016/10/24/matlab-arithmetic-expands-in-r2016b/?s_tid=blogs_rc_1).
I was then puzzled to discover that arrayfun on the cpu does not allow for it, while arrayfun when called with gpu arrays does allow for implicit expansion. Below is a MWE to demonstrate this behavior.
Let me quickly explain it: if I have two vectors x with size [2,1] and y with size [1,2], I can calculate the sum x+y and get a matrix 2*2 as intended. This is better than the ugly and more memory-intensive
repmat(x,1,2)+repmat(y,2,1)
Unfortunately this does not work with arrayfun on the cpu!
Since I code both using normal arrays and GPU arrays, I find this different behavior of arrayfun quite misleading. It would be great if Matlab could allow implicit expansion also on arrayfun cpu. When I have large arrays, duplicating dimensions with repmat takes a lot of memory.
%% Demonstration of implicit expansion support in MATLAB and arrayfun
% This script shows that:
% 1) MATLAB supports implicit expansion for standard array operations.
% 2) arrayfun on the GPU supports implicit expansion.
% 3) arrayfun on the CPU does NOT support implicit expansion!!
%
% Implicit expansion allows a 2×1 vector to be added to a 1×2 vector,
% producing a 2×2 matrix.

clear; clc; close all;

% Define test vectors
x = [1; 2]; % Column vector (2×1)
y = [1, 2]; % Row vector (1×2)

%% Implicit expansion using standard MATLAB operations
F1 = myadd(x, y);

%% Implicit expansion using arrayfun on the GPU
F2 = arrayfun(@myadd, gpuArray(x), gpuArray(y));

%% Attempt implicit expansion using arrayfun on the CPU (expected to fail)
try
F3 = arrayfun(@myadd, x, y);
catch ME
fprintf(‘CPU arrayfun error (expected):n%snn’, ME.message);
end

%% Function myadd
function F = myadd(x, y)
% Element-wise addition
F = x + y;
end I find very convenient that Matlab allows for implicit expansion since the 2016 version (for an explanation, see this nice article: https://blogs.mathworks.com/loren/2016/10/24/matlab-arithmetic-expands-in-r2016b/?s_tid=blogs_rc_1).
I was then puzzled to discover that arrayfun on the cpu does not allow for it, while arrayfun when called with gpu arrays does allow for implicit expansion. Below is a MWE to demonstrate this behavior.
Let me quickly explain it: if I have two vectors x with size [2,1] and y with size [1,2], I can calculate the sum x+y and get a matrix 2*2 as intended. This is better than the ugly and more memory-intensive
repmat(x,1,2)+repmat(y,2,1)
Unfortunately this does not work with arrayfun on the cpu!
Since I code both using normal arrays and GPU arrays, I find this different behavior of arrayfun quite misleading. It would be great if Matlab could allow implicit expansion also on arrayfun cpu. When I have large arrays, duplicating dimensions with repmat takes a lot of memory.
%% Demonstration of implicit expansion support in MATLAB and arrayfun
% This script shows that:
% 1) MATLAB supports implicit expansion for standard array operations.
% 2) arrayfun on the GPU supports implicit expansion.
% 3) arrayfun on the CPU does NOT support implicit expansion!!
%
% Implicit expansion allows a 2×1 vector to be added to a 1×2 vector,
% producing a 2×2 matrix.

clear; clc; close all;

% Define test vectors
x = [1; 2]; % Column vector (2×1)
y = [1, 2]; % Row vector (1×2)

%% Implicit expansion using standard MATLAB operations
F1 = myadd(x, y);

%% Implicit expansion using arrayfun on the GPU
F2 = arrayfun(@myadd, gpuArray(x), gpuArray(y));

%% Attempt implicit expansion using arrayfun on the CPU (expected to fail)
try
F3 = arrayfun(@myadd, x, y);
catch ME
fprintf(‘CPU arrayfun error (expected):n%snn’, ME.message);
end

%% Function myadd
function F = myadd(x, y)
% Element-wise addition
F = x + y;
end arrayfun, implicit expansion MATLAB Answers — New Questions

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License checkout failed.
License Manager Error -9
Your username does not match the username in the license file.
To run MATLAB on this computer, you must run the Activation client to reactivate your license.

Troubleshoot this issue by visiting:
http://www.mathworks.com/support/lme/R2015b/9

Diagnostic Information:
Feature: MATLAB
License path: /home/mpva/.matlab/R2015b_licenses:/usr/local/MATLAB/R2015b/licenses/license.dat:/usr/local/MATLAB/R
2015b/licenses/license_OptiPlex-960_1066905_R2015b.lic
Licensing error: -9,57.License checkout failed.
License Manager Error -9
Your username does not match the username in the license file.
To run MATLAB on this computer, you must run the Activation client to reactivate your license.

Troubleshoot this issue by visiting:
http://www.mathworks.com/support/lme/R2015b/9

Diagnostic Information:
Feature: MATLAB
License path: /home/mpva/.matlab/R2015b_licenses:/usr/local/MATLAB/R2015b/licenses/license.dat:/usr/local/MATLAB/R
2015b/licenses/license_OptiPlex-960_1066905_R2015b.lic
Licensing error: -9,57. License checkout failed.
License Manager Error -9
Your username does not match the username in the license file.
To run MATLAB on this computer, you must run the Activation client to reactivate your license.

Troubleshoot this issue by visiting:
http://www.mathworks.com/support/lme/R2015b/9

Diagnostic Information:
Feature: MATLAB
License path: /home/mpva/.matlab/R2015b_licenses:/usr/local/MATLAB/R2015b/licenses/license.dat:/usr/local/MATLAB/R
2015b/licenses/license_OptiPlex-960_1066905_R2015b.lic
Licensing error: -9,57. license error MATLAB Answers — New Questions

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