Questions tagged [signal-analysis]

The tag has no usage guidance.

Filter by
Sorted by
Tagged with
0
votes
1answer
11 views

the $L^2$-norm of a signal is also applied as its energy!

I am a newcomer in signal processing. I saw that the $L^2$-norm of a signal is also applied as its energy! How is this concept illustrated for those ones who are working in pure math.
0
votes
1answer
31 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 ...
1
vote
0answers
22 views

What is the current “state of the art” in future audio sample prediction, given recent developments in “image inpainting” using deep learning?

In the last few years, there have been many breakthroughs in the image processing world regarding repairing "damaged" images, images with corrupt pixels, or even reversing artefacts from ...
1
vote
1answer
55 views

two dimensional integration of a trigonometric function

I am working on a detection problem which finally, I have to solve the following 2-D integral: $$\int\limits_{a}^{b} \int\limits_{c}^{d}e^{A\sin(x)\cos(y-B)}\, \mathrm{d}x \, \mathrm{d}y \ ,$$ where $...
0
votes
1answer
134 views

CIC Filter implementation for Normalized Correlation

This is a follow-on to the original post ... I am trying to implement real-time correlation of two signals. I noticed the CIC Filter discussion here: How to find correlation/cross-correlation of two ...
1
vote
2answers
203 views

A path to get the foundation of SP and DSP for a pure math

I have a Ph.D. in pure math (interested in Harmonic analysis and operator theory). I am looking forward some proper references to lead me get the foundation of discrete/signal processing more and ...
0
votes
1answer
70 views

Continuous wavelet transform

Continuous wavelet transformation has been quite widely used for various applications. Most of the papers that I found were using CWT for non-stationary signals. Can we use CWT for stationary signal ...
0
votes
0answers
29 views

What is the best neural network type to classify time series

I am a beginner in AI methods. I have a collection of x(t) data, where x are some signal amplitudes and t is a time. My testing data are divided into two classes, say those from good and bad ...
0
votes
1answer
474 views

Power Spectral Density of discrete White Gaussian Noise defined with variance and sampling interval

From Creighton and Anderson Chapter 7 on Gravitational Wave data analysis: Please explain where the delta t and the limit came from in this derivation.
0
votes
1answer
31 views

How to simulate a signal of a particular frequency according to the number of points in a period of the signal?

I have one period data ($n$ points in total) of a signal. I want to generate a periodic signal with a total of $m$ points and corresponding signal frequency of $F$ according to this data. How do I do ...
2
votes
3answers
101 views

Could these be two peaks?

I'm looking at heart rate variability (HRV). Frequently, in the Fourier transform I see two peaks that are close together. How could I determine whether this is two peaks, or just one peak and ...
0
votes
2answers
227 views

Down sampling an EEG signal

I have a set of 10 minute EEG signals that were sampled at 400 Hz and have 16 channels which corresponds to a 16x240000 matrix. These EEG signals belong to two different classes. I am trying to ...
1
vote
1answer
30 views

elementary one and multidimensional real examples of continuous/discrete LTI systems

By an LTI system, we mean a time-invariant linear map on continuous/discrete-time signals. What (elementary one and multidimensional) real examples of continuous/discrete LTI systems do you suggest to ...
0
votes
1answer
42 views

How to convert between function forms of single frequency signals

I have an equation x(t) = (3+4j)*e^(j*8*pi*t)+(3-4j)*e^(-j*8*pi*t) and am trying to convert between this and shifted sines and cosines. I'm attempting mash this through euler's formula and got a 10 ...
0
votes
0answers
7 views

Does the EEMD (Ensemble Empricial Mode Decompsition) also reduce the sensitivity to noise?

EEMD (Ensemble Emprical Mode Decomposition) was introduced to improve the problem of mode mixing and mode splitting of the classical EMD (Emprical Mode Decomposition). How much does the EEMD reduce ...
0
votes
1answer
60 views

ML estimation - solve for x

I'm trying to solve the following maximum likelihood estimation but for multiplicative noise instead of additive noise: So the goal is to do ML-estimation for a scalar constant $x$, which is ...
0
votes
1answer
52 views

Total Harmonic Distortion THD for the rectifier

I have a circuit with rectifier and this cause the non-linearity and consequently harmonic. I show it on the oscilloscope and then collect the signal from the oscilloscope to the computer by using the ...
0
votes
1answer
49 views

PCMA signal separation

I want to work on co-frequency and co-time blind signals separation or carrier-in-carrier signal separation project. In articles published under the heading of blind separation of these signals, it is ...
1
vote
3answers
89 views

How to find the time of beginning of the slope of the signal?

I have a time signal in MATLAB format. Sampling rate is 100k, so it is roughly 5 seconds of signal. See the link below https://www.dropbox.com/sh/v7vev2j14i77mlk/AAA-X7JGMAzO6IyElYmFPFwra?dl=0 If ...
0
votes
0answers
48 views

Discrete Fourier Transform (DFT) of a number [closed]

I am trying to understand how a DFT for N-samples would be taken for a signal that is only a number, but the number changes for different values of n. For example, a signal that is x[n]=1 where n is ...
1
vote
1answer
59 views

Multiple peaks in a same signal?

I am working on peak detection in different signals, the signal plot looks like this: After applying peak detection algorithm and tuning it for each signal, final output looks like this: As you can ...
3
votes
2answers
12k views

What is the difference between a one dimensional and a two dimensional signal?

If a signal depends on only one variable then we call it one dimensional, and if a signal depends on two variable we call it a two dimensional signal. But when we represent an one dimensional signal, ...
0
votes
1answer
75 views

Butterworth filter of the acceleration and drifting displacement problem

I am only mechanic engineering and I need to filter my acceleration from MEMS mobile phone which has a noise and drifts. Here is my data. Acceleration vs time from an app mobile phone ...
0
votes
0answers
16 views

What is a clear, definitive reference for learning about WOLA?

I understand that WOLA stands for Weighted OverLap Add, and that it is used as a channelizer for STFT (short time Fourier transform). I am comfortable with DFT and FFT, and the concept of performing ...
0
votes
1answer
43 views

spectrogram of a leak in a water pipe

I'm doing a work on the acoustic emission of a leak. I am using a 1.80 m cylindrical tube with water, and the leak is simulated by means of a tap that opens after I have applied negative pressure ...
1
vote
1answer
54 views

What is the DFT of $[x_1 -x_2 x_3 -x_4…x_n]$

If DFT of $[x_1 x_2 x_3... x_N]$ is $Y(k)$, what is the DFT of $[x_1 -x_2 x_3 -x_4,....x_N]$ in terms of $Y(k)$? I have tried to formulate it but I cannot get a simplified expression for DFT of ...
0
votes
2answers
67 views

Determine the haar wavelet function is linear or nonlinear

I'm looking for analytical justification of linearity or non linearity of the wavelet transform with the real Haar mother wavelet function. I have googling already. But I can't find and understand ...
0
votes
1answer
37 views

Do we need Channel estimation prior to (time domain DFE or linear) adaptative equalization in single tone transmission?

If we are to transmit a single tone signal over a channel impaired by inter symbol interference and awgn, and if the equalization is adaptative (LMS/RLS track) and is done in time domain by LE (linear ...
3
votes
1answer
49 views

Why is a bandpass filtered analog PM signal still PM and not AM

I know, that in theory a sinusoidally phase modulated (PM) signal with an expression like $\Re(e^{\mathrm{j}k\sin(\omega_s t)} \cdot e^{\mathrm{j}\omega_ct})$ with the signal frequency $\omega_s$, the ...
0
votes
1answer
53 views

Isolation of a signal in a frequency band

I have a continuous signal. I digitize it at 40kHz. A useful signal for me is in the range of 500-1500Hz and takes ~ 50-100Hz. It can be located in any part of this strip at any time. If I apply a ...
0
votes
2answers
87 views

Classic Signal Processing vs Deep Learning / Machine Learning (DNN / ML) Based Signal Processing

Are classic signal processing/statistics based approaches to optimum detection/estimation still relevant/important compared to ML based approaches using DL? There was a time when speech processing was ...
0
votes
1answer
28 views

Remove audio signal component under certain frequency in python

I want to remove all signal components under 10KHz in one audio file. Below is my code ...
0
votes
1answer
30 views

How to use MFCC (or any other tool/method/algorithm) for speech verification

I have an original speech .wav file and a few recorded samples of the same file. Each recorded version has some differences wrt the original file. For example, The ...
0
votes
1answer
154 views

What are some of the disadvantages of parametric PSD estimation methods?

Roughly speaking, the methods of power-spectra estimation can be divided in two categories : parametric and non-parametric. From what I understood, parametric methods assumes that the signal can be ...
0
votes
0answers
28 views

Which one is better method and why? Manually Handcrafted sound features vs spectrogram + convolution

I am working on classifying different sounds ( not speech or words exactly something like ambulance alarm, police alarm, cough sounds etc) I read few paper which suggested to extract dsp features such ...
2
votes
2answers
104 views

what is the difference between the convolution and differentiation over image in image processing?

In image processing the differentiation and convolution are the terms that are used interchangeably. What is the difference between applying convolution and differentiation over the image? How we ...
1
vote
3answers
3k views

Measuring Audio Signal Similarities

I have recorded samples of lungs sound (person breath) signals from electronic stethoscope. How can I measure (In percentage) the similarity between two audio signals (lung sound), the general idea is ...
0
votes
0answers
39 views

Why is the noise on an eye diagram not in the centre i.e. at 0?

I don't yet completely understand eye diagrams. Why isn't the noise in the centre of this polar BPSK diagram and instead are 2 margins at -4 and 4.. surely that's not where the noise would be in ...
0
votes
1answer
47 views

Classical spectrum analyzer model

I am trying to reproduce a numerical model of classical spectrum analyzer, described in "Fundamentals of Spectrum Analysis" by Christoph Rauscher. Classical model consists of a few local ...
0
votes
1answer
23 views

Is the power or root-power scale correct for FFT analysis of an audio file?

I wrote Python scripts to create a spectrum analysis of audio files. The goal is to compare multiple spectrums to get the dB difference at certain frequencies. When I started using the Sonic ...
0
votes
2answers
69 views

How to verify the obtained SNR of the noisy signal after adding noise?

I defined the SNR as follows: $$\rm SNR = \frac{\text{Signal power density}}{\text{Noise power density}}$$ Given noise-free signal, I added the noise to this signal by using the formula above. Now, I ...
0
votes
0answers
22 views

How to identify the vocal folds in a mel spectrogram image?

I am quite new in the dsp and trying to learn How to identify the vocal folds in a mel spectrogram image? My image data looks like this. How to find the vocal folds in this image? I am using Praat ...
2
votes
1answer
140 views

Multiply signal $x[k]$ with $\cos(2\pi\nu_0k)$, then given $X(\nu)$ draw resulting function in frequency domain?

Let $$y[k]=x[k]\cdot \cos(2\pi\nu_0k) .\tag{1}$$ Then, given a signal $x[k]$ with the DTFT $X(\nu)$ according to the following figure what will the frequency domain for $Y(\nu)$ look like for a ...
0
votes
0answers
12 views

Decoding packets in Long Mode Range

Im using CC1350 launchpad microprocessor of Texas Instrument that I configure my transmitted packets using SmartRF studio Im trying to decode my packets for verifying if my transmitted packet is valid ...
1
vote
1answer
46 views

FFT results are repeating?

I am trying to detect notes out of a musical sound input. My program can be run here. The problem is the patterns in the frequency response is repeating: I suspect that echoing in the room is causing ...
0
votes
1answer
348 views

Spectral Subtraction python implementation error

I am trying to implement Spectral subtraction in python. I am new to DSP. I used this article as reference and below code is what I can come up with. Of course I did not get the expected output. I ...
0
votes
1answer
44 views

Decoder implementation

Im struggling to implement / build convolutional decoder . I've done implementation of FEC encoder which it's as shown in the photo below: So this is the encoder that I've implemented, and I want to ...
0
votes
1answer
109 views

Block by block CCDF and PAPR analysis in MATLAB

There are few signals (OFDM-like modulation scheme with uniformly distributed data source) generated by my script. I need to compare scheme performance in sense of CCDF (Complementary Cumulative ...
1
vote
2answers
32 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' ...
1
vote
1answer
44 views

What is the best way of filtering EEG signal for the specific frequency band?

I have an EEG data with a sampling rate is 500 Hz. Actually, there are too many ways to filter EEG signals. However, the abundance of options is not valid for me. I have to use a causal, linear-phase ...

1
2 3 4 5
34