Questions tagged [signal-processing]
Numerical analysis of a digitized signal
22
questions
48
votes
7
answers
37k
views
Features for time series classification
I consider the problem of (multiclass) classification based on time series of variable length $T$, that is, to find a function
$$f(X_T) = y \in [1..K]\\
\text{for } X_T = (x_1, \dots, x_T)\\
\text{...
- 3,200
26
votes
4
answers
12k
views
Application of wavelets to time-series-based anomaly detection algorithms
I've been beginning to work my way through Statistical Data Mining Tutorials by Andrew Moore (highly recommended for anyone else first venturing into this field). I started by reading this extremely ...
- 881
25
votes
4
answers
13k
views
Is it a good idea to use CNN to classify 1D signal?
I am working on the sleep stage classification. I read some research articles about this topic many of them used SVM or ensemble method. Is it a good idea to use convolutional neural network to ...
22
votes
1
answer
25k
views
How can I align/synchronize two signals?
I'm doing some research but have come stuck at the analysis stage (should've paid more attention to my stats lectures).
I've collected two simultaneous signals: flow rate integrated for volume and ...
- 223
11
votes
2
answers
3k
views
What is the difference between functional data analysis and high dimensional data analysis
There are a lot of references in the statistic literature to "functional data" (i.e. data that are curves), and in parallel, to "high dimensional data" (i.e. when data are high dimensional vectors). ...
- 6,345
3
votes
1
answer
1k
views
Dimensionality reduction of multiple signals using Fourier transform
I have $N$ recorded signals, $x$, each of which have been sampled 672 times across a time period of a week (= 15 min intervals). I will denote $x_{ij}$ as the $j$th sample for the $i$th recorded ...
- 4,746
0
votes
0
answers
68
views
Getting rid of spikes in sample data [duplicate]
Possible Duplicate:
Simple algorithm for online outlier detection of a generic time series
How could I get rid of sparky data in a descrete data set, but in a "smoother out" manner?
Take for ...
- 101
8
votes
3
answers
5k
views
Series dimensionality reduction for classification Input
I am looking to construct a predictive model where the outcome variable is binary and the input is time series. To make it more concrete, the model will predict if a customer churns (left the company; ...
- 7,660
14
votes
2
answers
8k
views
Relations and differences between time-series analysis and statistical signal processing?
I was wondering what relations and differences are between time-series analysis and statistical signal processing?
I found some recommendations of books in time series including some books in ...
- 17.9k
10
votes
1
answer
19k
views
How should I normalize my accelerometer sensor data?
I'm working with a large set of accelerometer data collected with multiple sensors worn by many subjects. Unfortunately, nobody here seems to know the technical specifications of the devices and I don'...
- 245
4
votes
2
answers
33k
views
How to calculate the signal-to-noise ratio (SNR) in an image?
I am working with an image X, I apply the "adaptive median filter" in it and I get the image Y. I'd like to measure the SNR in both in order to evaluate the quantity of noise deleted.
I know the ...
- 284
5
votes
1
answer
1k
views
Trend Analysis of feature importance over time in R
I'm running an experiment on a Streaming Classification Model (an Online Random Forest) that I've created. If that is a completely foreign concept to you here is a presentation I did on it recently: ...
- 476
3
votes
2
answers
3k
views
Testing significance of cross-correlated series
I want to prove that, overall, signal B is correlated to signal A. I was thinking of using cross-correlation (in R) to measure this.
Essentially I have two kinds of signals: signal A is a series of ...
- 415
2
votes
0
answers
95
views
Detect different fonts of audio from a single audio source
My code uses Google Voice API, to detect what one person said. For example, if I say one, two, three on my microphone the Google's API returns to me ...
- 166
2
votes
2
answers
2k
views
Regression with repeated measures in Matlab
Is there a way to perform multiple logistic regression on repeated measures data using Matlab?
I have a data set containing a daily measurement recorded from 20 participants for 60 days. I am ...
- 3,085
1
vote
1
answer
675
views
prediction on short time series with seasonality and data correlations
I have, say, 5 weeks of data standing for daily income of a company and I want to predict the next income. Obviously, there is a seasonality in data - every day is "seasonal" with the same day of the ...
- 133
7
votes
2
answers
2k
views
Predictions for random walk in ARIMA model
Below I'm showing just a small subset of a larger set of measurements of a process that I'm using to in turn predict something else. The part of the process that is my signal of interest is the ...
- 1,211
5
votes
0
answers
150
views
How to improve estimation of a deconvolved density
I have the following problem:
Y = X + e
with
Y = Total reaction time (noisy signal)
X = selection time (signal)
e = discrimination time (noise)
I am interestend in the distribution for X and ...
- 1,211
2
votes
0
answers
105
views
Detecting the period of a signal with a length of only a few periods [duplicate]
Possible Duplicate:
Fourier data with non-integer periods, correcting for phase bias
I have a not perfectly but quit periodic signal, with a length of only a few periods. What methods are ...
- 1,118
1
vote
1
answer
1k
views
Multiple peak fit - decomposing a graph into visible and hidden peaks of the same probability distribution
I have a graph as a set of coordinates (x, y), where x is a progressing time and y is proportional to an amount of molecules (chromatography results).
Visible peaks on the graph look like of gamma ...
- 31
0
votes
0
answers
21
views
Encoding a time series with varying time differences as an image
There are methods to encode a time series into an 'image' i.e a matrix of scalar values. Some methods include recurrence plots, gramian angular field and markov transition field. Most methods assume ...
- 1,104
0
votes
1
answer
330
views
Test for fractional Brownian motion in Matlab
Is there a test in Matlab if a time series satisfies properties of being a fractional Brownian motion?
- 49