Questions tagged [signal-analysis]

The processing of signals for the purpose of extracting a parameter or property embedded in a signal. Signal goes in and far fewer numbers come out.

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Practically Calculating Cramer-Rao Lower Bound

What is the method to compute Cramer-Rao lower bound for a particular application. For example I have an application in which FFT of an incoming signal is performed to get a Coarse estimate and then ...
1 vote
2 answers
641 views

How we determine type of filter with pole(s), zero(s)? [duplicate]

Let's say we have this Laplace transform: $$H_{1}(s)=\frac{1}{(s+1)(s+3)}\;, \; \Re{e} (s)>-1 $$ So, we know that there is a poles at $s=-1$ and $s=-3$. With these informations, we found that to be ...
0 votes
1 answer
157 views

Bode Plot - Why we add dB value in some situations?

Question: Specify the straight -line approximation of the Bode magnitude plot: $$H(j\omega) = 0.04 \cdot \frac{jw+50}{jw+0.2}$$ I don't understand that in the plotting part we add 6dB for two ...
0 votes
1 answer
472 views

Signal Reconstruction Using Scipy.signal.cwt

Can someone explain to me how I can reconstruct a signal using the scipy.signal.morlet2? The codes in the link only allows one to do a fourier transform using the morlet wavelet, but there is no such ...
3 votes
0 answers
61 views

OFDM channel estimation using the transmitted signal multiplied with a matrix

I have OFDM system, where the modulated signal $x$ with length $N$, and $N$ is the number of subcarriers in OFDM symbol. $x$ is multiplied with a well-known unitary matrix $G \in N \times N$ before ...
3 votes
3 answers
475 views

How to Extract Nonorthogonal PCA Principal Components

My problem is essentially a 'blind source separation' problem. I have 3 non-orthogonal sources (or basis functions) and $N$ random linear combinations (mixes) of said sources. My problem is to obtain ...
0 votes
1 answer
189 views

Why there are spikes in instantaneous frequency vs time plot of an analytic signal?

I am working on the analytic signal concept for observing the frequency variation in the faulted phase current waveform in MATLAB/Simulink model. In MATLAB/Simulink model, I have used analytic signal ...
0 votes
1 answer
52 views

Why HRV is considered as "irregularly time-sampled sequence"?

HRV is heart rate variability. As far as I understood, it is the time interval between two consecutive R peaks in the ECG signal. So an HRV dataset may contain two columns, one containing the interval ...
0 votes
1 answer
64 views

Why is DFT magnitude less than expected?

Code for signal: ...
5 votes
4 answers
2k views

Is it possible to find the FFT of a 1024-point signal by taking 8-input points at a time and calculating the FFT of those 8-points until the end?

Suppose the input signal has 1024 samples, and I want to take a 1024-point FFT. Can I instead take the 8-point FFT of the first 8 input samples then another 8 samples and continue this till the end? ...
0 votes
1 answer
128 views

Decoding binary data from temperature / rain sensor

I have the following data from a generic rain gauge / temperature sensor captured using an Arduino validated against raw data captured using Audacity. Similar to this question Decoding of binary ...
0 votes
0 answers
39 views

Noise Applied to OFDM Subcarriers

Assume we have an OFDM signal received with AWGN + phase noise. Then, we extracted some subcarriers after the demodulation. Now each subcarrier $Y_l[k]$ includes a noise component $Z_l[k]$ according ...
1 vote
1 answer
49 views

Can we control the maximum norm of a continuous signal whose finitely many Fourier coefficients are fixed?

Let us denote $C_{2\pi}$ by the set of all $2\pi$-periodic continuous signals $x:\mathbb{R}\to \mathbb{R}$. Fix $n\in \mathbb{N}$ and put $$\Lambda_n=\{y\in C_{2\pi}: \mathcal{F}(y)[k]=0 ~\...
1 vote
1 answer
308 views

How can I check similarity of two different sinusoidal waveform model?

I am trying to establish a similarity index for two different signals. These signals are quite different in amplitude and signal length. Their waveform is sinusoidal, and frequencies are at a close ...
1 vote
0 answers
150 views

Deriving the IF phase equation of FMCW

My understanding of the FMCW was limited to one chirp and was mostly focused on frequency analysis. (Mostly built upon this answer) I wanted to expand my understanding to multiple chirps and was ...
5 votes
3 answers
1k views

Why are the units of a sampled signal Volts*Hertz?

I'm posting here because I don't understand why when we have a signal, let's say a voltage, the units of its sampled values are Volts multiplied by Hertz and not just only Volts? It's something I've ...
0 votes
1 answer
58 views

How to perform an operation on a signal which depends on 2 variables?

How do we perform DFT when the input signal depends on 2 variables (like in a image the color of the pixel depends on both $x$ and $y$)
5 votes
1 answer
965 views

Range-Doppler Coupling in FMCW

I did some derivation of the IF signal of the FMCW using sawtooth LFM. A chirp with sawtooth LFM is expressed like below $$x_T (t)=\cos\left(2\pi f_c t + \frac{\pi}{T}B (t-mT)^2 \right)$$ Where, $f_c$ ...
-2 votes
1 answer
126 views

Energy ratio of signal

What is the energy ratio of signal at frequency domain? What is its mathematical formula at frequency domain and what can stand for? I found it in this paper https://www.researchgate.net/publication/...
2 votes
1 answer
642 views

Decomposition of $H(z)$ as maximum-phase, minimum-phase

The frequency response is: $$H(z) = 2-7z^{-1}+7z^{-2}-2z^{-3}$$ I see that it has $3$ zeros: $z_{01} = \frac 12$, $z_{02} = 2$, and $z_{03} = 1$; and $3$ poles in: $$z_x = 0$$ Now, I have to write ...
0 votes
1 answer
111 views

Phase Measurements of OFDM Signal with USRP

I am doing some analysis on a received OFDM signal using USRP N210 with GNURadio. Figure OFDM RX shows the OFDM receiver (please refer to GNURdaio workshop slides) . The transmitted OFDM signal is ...
0 votes
0 answers
45 views

Why does this recorded signal have two waveforms in it?

I have recorded the two words "Stop" and "Go" in the waveform. There is an orange waveform and any normal assumption would be the noise picked up by the receiver, but my professor ...
0 votes
1 answer
138 views

Correlation and ratio between two signals?

I have two signals $x$ and $y$ (blue and red one) the Pearson coefficient between them is 0.9659 The yellow signal is the ratio: x/y*mean(x) The two signals are ...
0 votes
1 answer
100 views

USRP Frequency Drift Measurement

I trying to measure the frequency drift between two N210 USRPs using GNURadio Companion. I used one USRP as a TX and the other one as an RX. The transmitted signal is a complex sinusoidal. The issue ...
1 vote
1 answer
136 views

Maximum possible CFO that can be estimated

I was trying to model the CFO (Carrier Frequency Offset) estimation in MATLAB. The Frame I was working on is of the following structure, yellow being the information data. How CFO was introduced? ...
0 votes
2 answers
79 views

Method for splitting time-sampled signal into two signals

Update: the yellow area in the graph below can be ignored, it shows power produced. I'm only interested in the blue line, and how to separate power consumed by the heating system from the rest. I have ...
0 votes
0 answers
110 views

Understanding FFT output oscillation around y-axis

I am looking at the output of the FFT and trying to understand the meaning of the real and imaginary parts of the output. My signals (real in time) are comprised of tonal peaks and the magnitude of ...
0 votes
1 answer
345 views

Finding the maximum frequency deviation and phase deviation

I'm trying to solve a problem regarding communication and I'm stuck. The questions asked me to find the maximum frequency deviation are usually written in cos or sin wave. But this question isn't, so ...
4 votes
2 answers
466 views

Real time FFT - Wouldn't zero-padding a signal at the end distorts the output?

I have looked at previous similar questions, but I am still not very clear on this. Most real-time or otherwise fft functions suggest adding zeros at the end of the input to make the sample size an ...
0 votes
3 answers
2k views

How do you find the null to null bandwidth for the signal below?

My tutor does not explain it very well. Can someone please explain to me the reasoning and what null to null bandwidth actually is?
3 votes
1 answer
2k views

Separating 'signal' from periodic 'noise'

I have data in which the signal we want is a few gaussian peaks superposed on a noisy background in which some of the 'noise' is periodic. Simply suppressing the associated fourier modes is effective ...
0 votes
0 answers
52 views

Origin of the definitions of 16 types of discrete normalized/non-normalized Sine and Cosine transforms

I am a Ph.D in pure math. In the literature of signal processing, I observe that 16 types of discrete normalized/non-normalized Sine and Cosine transforms are being extensively studied. They have some ...
1 vote
1 answer
2k views

Discrete Time Signals - Time Scaling and Time Reversal

On the top graph, we can see a discrete-time signal $x[n]$. I don't understand how for the signal $x[3-n]$, the impulses with magnitude $1$ still are at the positive indices $n = 1, 2, 3, 4$. Why ...
0 votes
1 answer
465 views

What is inverse Fourier transform of real spectrum?

I am trying to retrieve the origin signal in time domain (or path-length domain) from a spectrum obtained by CCD-matrix of interferometer. I understand how to transform a real signal in the time ...
1 vote
0 answers
13 views

VNA based calibration of RF equipment relative to discreet time domain measurments

I am looking for methodology on how to correct data for losses present in RF signal paths. The basis for my objective is to convert an discreet time domain signal into the frequency domain with an FFT,...
0 votes
1 answer
1k views

What is the secrecy rate?

I read several papers on physical layer security that explain several methods to maximize the secrecy rate. However, I didn't find a very clear definition about the secrecy rate. What is it? How is it ...
0 votes
2 answers
2k views

FFT of signal data with windowing, overlapping and averaging

This is my first ever question here so the help is really appreciated. I am performing FFT on a signal. I want to perform windowing, 50% overlapping and averaging to the signal. There is a function <...
4 votes
3 answers
1k views

The normalization of the autocorrelation function and how it changes the definitions you've learned about signal analysis in communication systems

Since this question is book-oriented, I will kindly ask you to accompany it with a book that is considered by many researchers the bible of Digital Communication: Proakis - Digital Communications, one ...
2 votes
2 answers
631 views

Why is ARMA preferred instead of AR?

ARMA basically is an AR model which considers past inputs to the filter as well. But what is the benefit of taking past inputs to the filter if we are considering real-time processes which are all ...
0 votes
0 answers
361 views

Jerk detection in accelerometer data

I want to detect jerk from accelerator data i.e. values beyond 1.57 m/s^2, but due to the high frequency nature of the sensor (400 values per second), it gives multiple jerks instead of one. How can I ...
0 votes
1 answer
158 views

What does the signal of $y(n) = x(n^2)$ look like?

The original signal is at a) in the image below, and I'm confused as to what the exponent on the dependent variable does to the signal, so can anyone point me to where I go wrong and how do I actually ...
0 votes
1 answer
94 views

Represent a sinusoid by other sinusoids of different frequencies

Can a sinusoid with unknown frequency be constructed from other sinusoids with known frequencies? Are there any theorems for this problem?
5 votes
5 answers
3k views

How do you save / convert an image to be in the (complex) frequency domain?

Quick Note: I don't believe this is a subjective question... however if it is I will gladly modify to be more objective In ImageJ, if I take the FFT of an image, how can I save this new frequency ...
0 votes
1 answer
45 views

Significance of poles in a Transfer Function

Sorry for asking this basic question, but I am new to signal processing and have this doubt for a long time. I have been studying signal modelling and have $$H(z) = B_q(z)/A_p(z)$$ where $A_p(z)$ ...
0 votes
0 answers
30 views

How can I get a single object's audio response from a pair of colliding audio?

Problem and backgroud Two objects $A$ and $B$ are colliding and produce audio response $x_{AB}(t) = x_A(t) + x_B(t)$, where $x_A(t)$ and $x_B(t)$ are audio produce by these two objects individually. ...
1 vote
1 answer
2k views

Detecting and Removing Noise from Signal using Python

Through this platform, I want to ask that how can I remove unwanted noise from the signal when you do not have much information regarding the frequency at which they appear? Data is collected from an ...
2 votes
1 answer
244 views

Construct complex signal from a real-valued time series and Hilbert transform

I have a time series measurement $v(t)$ from a physical nonlinear system and its power spectrum $E(f)$ look like the following From a theoretical point of view, the solution of the system is modeled ...
0 votes
2 answers
59 views

How to normalize Loudness on different Android Smartphones playing same audio simultaneously?

I have been working on a conference solution based on a smartphone grid. Right now, I am stuck on Android Smartphones. Although I have managed to normalize loudness programmatically when it gets ...
0 votes
0 answers
141 views

What is the difference between Yule Walker and Modified Yule Walker Equation that used in Stochastic Signal Modeling?

Our Professor couldn't explain the clear difference between the Yule Walker equation and the Modified version of it that is used in Stochastic models. Please explain both the equations and why we ...
0 votes
1 answer
261 views

Calculate noise variance from a given SNRdB

I was analyzing the following code for the MRC scheme from the book MIMO-OFDM Wireless Communications with MATLAB. Here, I am not able to understand based on what logic the sigma value calculated <...

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