Timestamp: |
10-Oct-2024 17:13:34 |
Host: |
fv-az695-575 |
Platform: |
glnxa64 |
MATLAB Version: |
24.1.0.2689473 (R2024a) Update 6 |
Number of Tests: |
12 |
Testing Time: |
151.3737 seconds |
Overall Result: |
PASSED |
/home/runner/work/DSP-Signals-and-Filter-Design/DSP-Signals-and-Filter-Design/SoftwareTests/
70.3679 seconds |
||
81.0058 seconds |
||
The test passed. Duration: 12.7954 seconds
Event:
Diagnostic logged.
Timestamp: 10-Oct-2024 17:11:05 Verbosity: Terse Logged Diagnostic: Figure saved to: --> /tmp/c361ce31-ed9d-4844-b716-f97d3a1d9c56/Figure_2f9825f7-b280-460a-a84c-b8e56f46d121.png Event Location: SmokeTests[Project=matlab.project.Project]/SmokeRun(File=AnalogToDigitalConversion.mlx) Stack: In /home/runner/work/DSP-Signals-and-Filter-Design/DSP-Signals-and-Filter-Design/SoftwareTests/SmokeTests.m (SmokeTests.SmokeRun) at 73 |
(Overview)
The test passed. Duration: 0.2009 seconds
(Overview)
The test passed. Duration: 1.3312 seconds
Event:
Diagnostic logged.
Timestamp: 10-Oct-2024 17:11:14 Verbosity: Terse Logged Diagnostic: Figure saved to: --> /tmp/c361ce31-ed9d-4844-b716-f97d3a1d9c56/Figure_6f79825f-9a6b-495a-b9b7-51a9a3a762d1.png Event Location: SmokeTests[Project=matlab.project.Project]/SmokeRun(File=FilterDesign.mlx) Stack: In /home/runner/work/DSP-Signals-and-Filter-Design/DSP-Signals-and-Filter-Design/SoftwareTests/SmokeTests.m (SmokeTests.SmokeRun) at 73 |
(Overview)
The test passed. Duration: 56.0405 seconds
Event:
Diagnostic logged.
Timestamp: 10-Oct-2024 17:12:10 Verbosity: Terse Logged Diagnostic: Figure saved to: --> /tmp/c361ce31-ed9d-4844-b716-f97d3a1d9c56/Figure_75e21b50-d247-4c00-bba4-9618b5efbc04.png Event Location: SmokeTests[Project=matlab.project.Project]/SmokeRun(File=FilteringIntro.mlx) Stack: In /home/runner/work/DSP-Signals-and-Filter-Design/DSP-Signals-and-Filter-Design/SoftwareTests/SmokeTests.m (SmokeTests.SmokeRun) at 73 |
(Overview)
The test passed. Duration: 0.0998 seconds
(Overview)
The test passed. Duration: 0.0005 seconds
(Overview)
The test passed. Duration: 0.0004 seconds
(Overview)
The test passed. Duration: 0.0004 seconds
(Overview)
The test passed. Duration: 1.7695 seconds
Event:
Diagnostic logged.
Timestamp: 10-Oct-2024 17:12:12 Verbosity: Terse Logged Diagnostic: Figure saved to: --> /tmp/c361ce31-ed9d-4844-b716-f97d3a1d9c56/Figure_df26e656-7e53-4cc9-916a-c387717131eb.png Event Location: SolnSmokeTests[Project=matlab.project.Project]/SmokeRun(File=AnalogToDigitalConversion.mlx) Stack: In /home/runner/work/DSP-Signals-and-Filter-Design/DSP-Signals-and-Filter-Design/SoftwareTests/SolnSmokeTests.m (SolnSmokeTests.SmokeRun) at 89 |
(Overview)
The test passed. Duration: 0.0525 seconds
(Overview)
The test passed. Duration: 6.0004 seconds
Events:
Diagnostic logged.
Timestamp: 10-Oct-2024 17:12:17 Verbosity: Terse Logged Diagnostic: Figure saved to: --> /tmp/c361ce31-ed9d-4844-b716-f97d3a1d9c56/Figure_50825b4e-3ecb-4985-b69f-878ce29516f3.png Event Location: SolnSmokeTests[Project=matlab.project.Project]/SmokeRun(File=FilterDesign.mlx) Stack: In /home/runner/work/DSP-Signals-and-Filter-Design/DSP-Signals-and-Filter-Design/SoftwareTests/SolnSmokeTests.m (SolnSmokeTests.SmokeRun) at 89 |
Diagnostic logged.
Timestamp: 10-Oct-2024 17:12:18 Verbosity: Terse Logged Diagnostic: Figure saved to: --> /tmp/c361ce31-ed9d-4844-b716-f97d3a1d9c56/Figure_8b76359a-596d-4e47-8f1e-a8e8400e9000.png Event Location: SolnSmokeTests[Project=matlab.project.Project]/SmokeRun(File=FilterDesign.mlx) Stack: In /home/runner/work/DSP-Signals-and-Filter-Design/DSP-Signals-and-Filter-Design/SoftwareTests/SolnSmokeTests.m (SolnSmokeTests.SmokeRun) at 89 |
Diagnostic logged.
Timestamp: 10-Oct-2024 17:12:18 Verbosity: Terse Logged Diagnostic: Figure saved to: --> /tmp/c361ce31-ed9d-4844-b716-f97d3a1d9c56/Figure_a155e27b-52f7-49b2-9dc7-b1e9ee80de59.png Event Location: SolnSmokeTests[Project=matlab.project.Project]/SmokeRun(File=FilterDesign.mlx) Stack: In /home/runner/work/DSP-Signals-and-Filter-Design/DSP-Signals-and-Filter-Design/SoftwareTests/SolnSmokeTests.m (SolnSmokeTests.SmokeRun) at 89 |
(Overview)
The test passed. Duration: 73.0824 seconds
Event:
Diagnostic logged.
Timestamp: 10-Oct-2024 17:13:31 Verbosity: Terse Logged Diagnostic: Figure saved to: --> /tmp/c361ce31-ed9d-4844-b716-f97d3a1d9c56/Figure_e2bf07e2-646b-45c9-975e-0ed00de995e5.png Event Location: SolnSmokeTests[Project=matlab.project.Project]/SmokeRun(File=FilteringIntro.mlx) Stack: In /home/runner/work/DSP-Signals-and-Filter-Design/DSP-Signals-and-Filter-Design/SoftwareTests/SolnSmokeTests.m (SolnSmokeTests.SmokeRun) at 89 |
(Overview)
Running SmokeTests >> Running AnalogToDigitalConversion.mlx Please select an answer Create audio player Stop audio player Please select an answer Create audio player Stop audio player Create audio player Stop audio player [Terse] Diagnostic logged (2024-10-10 17:11:05): Figure saved to: --> /tmp/c361ce31-ed9d-4844-b716-f97d3a1d9c56/Figure_2f9825f7-b280-460a-a84c-b8e56f46d121.png .>> Running BuildFilteringApp.mlx appdesigner = function_handle with value: @(varargin)disp("Opening App Designer") Opening App Designer Opening App Designer .>> Running FilterDesign.mlx - By knowing the impulse response, you can predict how the filter will affect any signal. - Impulse responses allow you to simplify your analysis of a filter by analyzing how they react to a simple impulse, rather than a more complex signal. - You can design filters more effectively by shaping the impulse response to achieve the specific task you are working on. [Terse] Diagnostic logged (2024-10-10 17:11:14): Figure saved to: --> /tmp/c361ce31-ed9d-4844-b716-f97d3a1d9c56/Figure_6f79825f-9a6b-495a-b9b7-51a9a3a762d1.png .>> Running FilteringIntro.mlx Filter order must be less than window size Data loaded Create audio player Playing audio Create audio player Playing audio Try again. Hint: Try to identify the distinct bird chirps in the spectrogram. Try again. If you're struggling, try going back to the previous section to read about each visualization type. Try again. If you're struggling, try going back to the previous section to read about each visualization type. Try again. If you're struggling, try going back to the previous section to read about each visualization type. Try again. If you're struggling, try going back to the previous section to read about each visualization type. Create audio player Playing audio Create audio player Playing audio Create audio player Playing audio Create audio player Playing audio Make sure your upper passband frequency is greater than your lower passband frequency. [Terse] Diagnostic logged (2024-10-10 17:12:10): Figure saved to: --> /tmp/c361ce31-ed9d-4844-b716-f97d3a1d9c56/Figure_75e21b50-d247-4c00-bba4-9618b5efbc04.png . Done SmokeTests __________ Running SolnSmokeTests ....>> Running AnalogToDigitalConversionSoln.mlx Correct! Great job Create audio player Playing audio Correct! Great job. Audio signals are typically sampled at 44.1 kHz, which is above the Nyquist frequency you identified. Create audio player Playing audio Create audio player Stop audio player [Terse] Diagnostic logged (2024-10-10 17:12:12): Figure saved to: --> /tmp/c361ce31-ed9d-4844-b716-f97d3a1d9c56/Figure_df26e656-7e53-4cc9-916a-c387717131eb.png .>> Running BuildFilteringAppSoln.mlx appdesigner = function_handle with value: @(varargin)disp("Opening App Designer") Opening App Designer Opening App Designer .>> Running FilterDesignSoln.mlx - By knowing the impulse response, you can predict how the filter will affect any signal. - Impulse responses allow you to simplify your analysis of a filter by analyzing how they react to a simple impulse, rather than a more complex signal. - You can design filters more effectively by shaping the impulse response to achieve the specific task you are working on.Data loaded Please select an answer Please select an answer Please select at least one answer Make sure that your answer to each question is either FIR or IIR. [Terse] Diagnostic logged (2024-10-10 17:12:17): Figure saved to: --> /tmp/c361ce31-ed9d-4844-b716-f97d3a1d9c56/Figure_50825b4e-3ecb-4985-b69f-878ce29516f3.png [Terse] Diagnostic logged (2024-10-10 17:12:18): Figure saved to: --> /tmp/c361ce31-ed9d-4844-b716-f97d3a1d9c56/Figure_8b76359a-596d-4e47-8f1e-a8e8400e9000.png [Terse] Diagnostic logged (2024-10-10 17:12:18): Figure saved to: --> /tmp/c361ce31-ed9d-4844-b716-f97d3a1d9c56/Figure_a155e27b-52f7-49b2-9dc7-b1e9ee80de59.png .>> Running FilteringIntroSoln.mlx Data loaded Create audio player Playing audio Create audio player Playing audio Great job! Great job! Try again. If you're struggling, try going back to the previous section to read about each visualization type. Great job! Great job! Create audio player Playing audio Create audio player Playing audio Create audio player Playing audio Create audio player Playing audio Create audio player Playing audio Create audio player Playing audio Try again. Hint: Remember your answer from Exercise 1. [Terse] Diagnostic logged (2024-10-10 17:13:31): Figure saved to: --> /tmp/c361ce31-ed9d-4844-b716-f97d3a1d9c56/Figure_e2bf07e2-646b-45c9-975e-0ed00de995e5.png . Done SolnSmokeTests __________