Comments (5)
The file you have attached is not accessible. Could you please attach it to a comment?
Few Questions :
- What is the file size and how many channels does it have?
- How many data points are there per channel?
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Oh,Sorry,I forgot to open file permissions;This is a new file link: https://drive.google.com/file/d/112almsqRELM5sE82I9QIfHjgazAOjLcT/view?usp=sharing
1.The data size is about 100kb and each file has only one channel;
2.reference.wav has 2205 points and singal.wav has about 80000 points
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I simulated this code for both Python (using Scipy & Numpy) and Java (using JDSP).
Two things need to be noted:
-
Scipy imports all data as int16. This has to be converted to int64 for computations to remain consistent to JDSP. This can be done using the
.astype(numpy.int64)
function. -
On executing both, the execution time came up as this:
For Python:
Execution Time: **231 ms**
Output:
array([10797, 10799, 10807, ..., 87370, 87378, 87394])
For Java:
Execution Time: **777682 ms**
Output:
[10797, 10799, 10807, 10813, 10821, 10829, ... 87335, 87352, 87361, 87370, 87378, 87394]
The outputs for both Python and Java are the same. So, there are some inefficiencies in the code which need to be addressed. The testing code is attached as a ZIP file with this comment.
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Thanks a lot,!I know the data type problem.Another problem is that it takes long time to findpeaks on android phone.And i hope you can optimize this problem.I use android studio tool and java for programming language. For time problem,I use a library called TarsosDSP which can be founded at https://github.com/JorenSix/TarsosDSP. It takes about 10-20 seconds to find all the peaks.I think JDSP is a good library and fixing this will make it better.The last i hope you can check the time of Peak Detection and peak filters.Have a nice day!
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With Commit c882796, the execution speed has been reduced to match Python execution speed.
Execution Time: **294 ms**
Output:
[10797, 10799, 10807, 10813, 10821, 10829, ... 87335, 87352, 87361, 87370, 87378, 87394]
To achieve this, Peak properties are now computed only when the specific property is called / filtered with; and not as a part of the detectPeak()
function.
Currently in dev branch.
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Related Issues (20)
- Plotting output is inconsistent with peak detection indices HOT 12
- Feature request: for Independent Components Analysis (ICA) algorithm for multi-channel signal analysis HOT 2
- "Generate" do not generate correct number of samples
- smooth cause phase shift HOT 6
- Using bandpass and bandstop filters for time series data HOT 2
- Use case question HOT 1
- Citing JDSP in Publications HOT 2
- Feature request: for multiplicative scatter correction HOT 1
- Savitzky Golay Filter Java implementation there is a difference from python HOT 12
- Build error due to org.apache.maven Duplicate HOT 23
- Java 19+ SIMD support ? HOT 1
- Real-Time "Processor" Adapter for Transformation HOT 1
- Power Spectral Density Capability HOT 1
- Input data dimensions and window dimensions don't match HOT 1
- The documentation page is not working HOT 2
- Result of Butterworth Bandpass and Bandstop Inconsistent with Python Scipy Library HOT 2
- Feature request : first order low pass filter HOT 2
- UtilMethods.diff throws java.lang.NegativeArraySizeException: -1 HOT 1
- Welch or Multitaper-like bandpower analysis
- Question regarding Phython Scipy Import Signal.Welch HOT 2
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