Questions tagged [classification]
is a system of grouping objects of study or observation in accordance with their common features. The classification problem is a formalized task in which a set of objects (cases), separated in some way to classes.
146
questions
0
votes
0
answers
6
views
Feature for a signal classification
Consider that i have N signals of electricity energy consumption (from N different consumers) that ha 24 measurements over a ...
- 113
0
votes
1
answer
32
views
Preparing data for modulation classification based on RML2016
I would like to validate a trained model based on RML2016.10a. My idea is to capture a certain amount of data (20 Msps) for approximately 0.3 seconds. Then, I identify all the signals in this ...
- 1
1
vote
1
answer
55
views
What are the advantages/disadvantages of image set classification over single image based classification?
I've seen a lot of people use image set classification recently. However, I haven't been able to find anywhere explaining the specifics of why image set classification is preferred. Are there only ...
0
votes
0
answers
39
views
Peaks detection in delta lookback interval for real time algorithm
So I am developing a signal processing algorithm to classify in real time depending on how many peaks I have in my time series, in a delta. I implemented a circular buffer and accumulator to keep in ...
- 153
2
votes
1
answer
93
views
Classification of a system
I am preparing for an examination and have a study guide that I feel has a couple of errors. The questions concern the classification of discrete time dynamical system. Here are the problems that I am ...
- 67
1
vote
1
answer
204
views
Log of Filterbank Energies
In common literature, when generating spectrograms, mel-spectrograms, and cochleagrams, the log of the resulting filterbank energies is taken. Why is this done? I notice that my convolutional neural ...
- 11
3
votes
1
answer
211
views
Using Soft Labels in Classification Models
(Updated)
I am working on a classification project in which I am required to detect a component of a railway switch using time-series data collected from an inductive sensor.
After some signal ...
- 77
1
vote
0
answers
78
views
STFT for Classification
I am working on this project in which I am using Short Time Fourier Transform (STFT) for feature extraction before applying classification model. I have a time series sensor data, applied signal ...
- 77
0
votes
3
answers
262
views
How is this system nonlinear
Suppose we have a system S and the relationship between $x(t)$ and $y(t)$ is $y(t) = x(t)+1$
However despite the fact the system is made of linear operators the system is not linear.How is this ...
- 237
4
votes
1
answer
76
views
Classifying samples from complex Gaussian distributions
Assume we are trying to classify a sample $X$ as coming from one of two distributions:
$$
\mathcal{CN}(\mu, \sigma^2) \\
\mathcal{CN}(\nu, \sigma^2),
$$
where $\mathcal{CN}$ denotes a (circularly ...
- 65
1
vote
1
answer
57
views
Help on choosing compatibility test for classification algoritm
I have designed an algorithm for classification and I need to add a suitability or compatibility test for accepting a signal as an input. Basically, not all signals are suitable for processing by my ...
- 153
2
votes
2
answers
67
views
Distinguishing between intensity image plots
I have a series of intensity images generated by varying different scatterer geometries. An example of variation observed by varying the aspect ratio of these geometries is shown below in the three ...
- 21
1
vote
1
answer
45
views
Decision level fusion
I have trained three deep learning models, and used majority voting for the final decision. Applying majority voting has led to improving the accuracy of the classifier with all test samples, except ...
- 349
1
vote
2
answers
94
views
Why is automatic modulation classification hard?
There is a huge amount of research into automatic modulation classification (AMC) using machine learning.. Why is AMC a hard/difficult problem that we need to use machine learning or even deep ...
- 145
1
vote
1
answer
235
views
Classification of Signals using Features Extracted from Wavelet Scattering Coefficients
I have a set of RF signal samples of 2s length each recorded at 2MHz sampling rate, such as this IQ file: https://www.dropbox.com/s/dd6fr4va4alpazj/move_x_movedist_1_speed_25k_sample_6.wav?dl=0
I can ...
- 77
1
vote
1
answer
201
views
Classifying STFT from multiple signal samples
I have a collection of signals (IQ wav) split up into ~2s samples of sampling rate 2MHz, and can collect the STFT information from these samples through the following code:
...
- 77
0
votes
3
answers
419
views
Is it possible to classify signal samples using STFT without (image-based) spectrograms?
I am aiming to conduct a classification-based study using signals collected from various devices. I've researched other approaches which make use of STFT for producing a spectrogram for speech and EEG/...
- 77
1
vote
1
answer
945
views
Identifying Instruments within a music file
Say I have a file that contains a few musical instruments, how can Identify the name of each one (ultimate goal) or at least the category they belong to, like wind instruments?
For example, if I load ...
- 39
5
votes
1
answer
113
views
Classifying 2 Classes of Ultrasound Signal Using Machine Learning by Frequency Domain
I have two samples which, when exposed to ultrasound, emit their unique frequency responses. As can be seen in the attached figure, where the exciting frequency is 2.25 MHz, sample 1 emits a strong ...
- 53
0
votes
1
answer
86
views
Feature Extraction for Image Classification of Vegetables and Fruits Using Classic Computer Vision Techniques
I don't know if this is the right place to ask this but lets go. I am a beginner in computer vision and I have a project of fruit recognition based on Kaggle's Fruit 360 dataset. I know that CNNs are ...
- 111
0
votes
0
answers
21
views
Classification performance metrics of two simultaneous classification systems
I am working on a classification algorithm to recognize a sound anomaly. I have two audio classification systems placed at different locations. I would like to interconnect these systems and base my ...
- 173
0
votes
0
answers
95
views
Performance assessment metrics for biometric identification
Suppose that we have a fingerprint database consisting of 1000 images from 100 persons (10 images per person), and it is required to design a system to identify the person from his fingerprint image. ...
- 349
0
votes
1
answer
606
views
Extracting "frequency domain features" from signal for classification
I have a real signal with only nonnegative values (actigraph measurements). Many papers say they use "frequency domain features" for classification, such as mean, variance etc. But I'm ...
- 111
0
votes
1
answer
68
views
Classification of very noisy EMG signals
I'm an absolutely newbie to signal processing. I'm trying to classify EMG signals which are very noisy (decibel values are more than -70 dB in some cases). After applying EMD technique these values ...
- 145
5
votes
1
answer
344
views
How to detect rectangular images inserted into another image?
It's just for a simple binary classification, so it's not needed to find the location of the inserted image or the content. I'm only interested in checking whether something like that is present or ...
- 153
-1
votes
1
answer
407
views
Audio classification without deep learning
I am looking for code or papers, for methods to classify audio signals, without the use of deep neural networks (DNN).
A current paper which reviews methods will also be most welcome.
I have searched ...
- 672
0
votes
0
answers
104
views
What is the best feature selection method when working with audio and a binary output?
I am working on a problem as I am trying to determine which is the best feature to use when working with audio. I have a piece of audio and I am trying to determine which is the best feature to use ...
- 173
0
votes
1
answer
69
views
High FIR order in time critical classification task
I have a question regarding filtering (bandpass in my case) as a preprocessing step before a classification task.
The frequency band I am interested in lies between 0.5 - 22 Hz which results in a ...
0
votes
2
answers
171
views
why is the signal divided into epochs in EEG classification?
I'm new in EEG signal classification.
Studying the literature on this topic, I wonder why the EEG signals are divided in epochs, so, instead of classifying the whole signal all at once, we usually ...
- 227
2
votes
1
answer
6k
views
Upsampling vs downsampling. Which to use when?
Downsampling reduces dimensionality of the features while losing some information. It saves computation.
Upsampling brings back the resolution to the resolution of previous layer.
My question is which ...
- 21
1
vote
2
answers
111
views
How mic setting will affect audio classification model?
I have audio samples with three classes :
100 audio samples : class 'A'
100 audio samples : class 'B'
100 audio samples : class 'C'
...
- 133
0
votes
0
answers
63
views
Estimation of Power Spectral Density
I'm learning some basic signal processing to use in my research. So I'm trying to solve this combined signal:
$x(t)= \text{sin}(60\pi t+\theta)+ 0.5 \text{sin}(120\pi t+\theta)+ 0.3 \text{sin}(...
- 1
0
votes
1
answer
181
views
Using the log power spectrum as features for a Classifier
I have a set of time series signals for which I have to develop a anomaly detection algorithm. I am considering using classifiers like SVM to do this.
However I am confused about how to properly ...
- 151
1
vote
1
answer
373
views
Understanding the Threshold Process in Harris Corner and Edge Detector
I have read the paper Chris Harris , Mike Stephens - A Combined Corner and Edge Detector about the Harris Corner and Edge Detector, but I didn't understand the point that after low and high threshold ...
- 167
1
vote
4
answers
292
views
System classification: unit-time delay
I'm reading a book on linear systems and I can't understand why the unit-time delay is a distributed system. This is the example given in the book:
I understand that the initial state of the system ...
- 121
3
votes
1
answer
69
views
Simple Binary Image Classification (Person / No Person) in `C`
i have to do a project for university which is basically to program a tool to classify small greyscale images like those below into person or non-person, in C.
The project is scheduled for around ...
0
votes
1
answer
105
views
How to classify audio files based on their ZCR, energy, and enthropy of energy features?
Let's say I wanna classify the audio files of race car exhaust and normal car exhaust. I attain few features such as ZCR, energy and enthropy of energy from the training set and I wanna build the ...
- 9
1
vote
1
answer
50
views
What is the HOMING operator?
I was reading "Optical Recognition Systems" book and in chapter 3.3.2.3 where methods for full genetic programming are described, a paper is describing an ADF (automatically defined functions) like ...
- 13
-1
votes
1
answer
75
views
audio classification based only on first few seconds
I record audio notes on my recorder, and each belongs to a certain category ("work", "parenting", "miscellaneous", etc.). At the beginning of each recording, I say the name of the category, then stay ...
-1
votes
1
answer
133
views
Audio Activity Detection and Classification
I am starting a new project. Actually, my real intention is to learn speech recognition but for warming up I want to improve in audio signal processing.
In my project, I aim to record sounds except ...
- 99
0
votes
1
answer
60
views
Objective Noise Classification for speech enhancement
I'm working on my thesis and it is about an speech enhancement system to use proper noise reduction method/algorithm for different types of noise.
I want to test and compare some filters/algorithms ...
- 57
-1
votes
2
answers
603
views
how to extract a radio signal features with python?
I have a dataset of radio signals that i want to classify. So, I decided to extract features. After some googling, I have noticed that I have to calculate moments, cumulants, Kutosis and skewness to ...
- 1
0
votes
1
answer
32
views
Gender classification using Periocular Region [closed]
I have a dataset of the periocular region, I have images of the male and female periocular region but they are only labeled as left and right periocular region, Folder is a mixture of male and female ...
- 103
0
votes
0
answers
20
views
Tracking a signal
I have two signals representing steering wheel angles, one representing the driver’s inputs (red), while the other one represents the system’s reference signal (blue).
I want to estimate in real time ...
- 1
1
vote
0
answers
71
views
MFCC parameters for gunshot recognition
I'm writing a gunshot detector software. I'm using this article as reference:https://arxiv.org/ftp/arxiv/papers/1706/1706.08759.pdf.
For now, my software is able to recognize an impulsive sound. Now, ...
- 121
0
votes
1
answer
1k
views
MFCC classification model
I have audio samples which MFCCs i want to train, but there is a problem. I can't find a classification model, because the samples have different length and consequently the MFCC matrices will also ...
3
votes
1
answer
152
views
Covariance block of MUSIC Algorithm
I am implementing MUSIC algorithm in Verilog, and I need to implement the blocks in following order
$$\text{Input signal}{\longrightarrow}\text{Co-variance/Correlation matrix}{\longrightarrow}\text{...
- 31
0
votes
0
answers
10
views
impact of lombard effect on language identification
I have collected samples for 2 different languages. Now i need to extract MFCC features and identify which language using wave files.
I need to do classification using R studio and perform an ...
- 1
1
vote
1
answer
54
views
Feature normalization (scaling) for Hyperspectral images
have been straggling with the concept of feature normalization for the hyperspectral images. Respect to my problem I have attached a picture of my problem which clearly stands the issue which I have.
- 113
1
vote
0
answers
88
views
Can I have some feedback on this research paper on vibration diagnostics?
I have submitted this paper "Detecting a Valve Spring Failure of a Piston Compressor with the Help of the Vibration Monitoring" to figshare.com.
I would like to get some feedback on the methodology ...
