# Questions tagged [discrete-signals]

A discrete signal or discrete-time signal is a time series consisting of a sequence of quantities.

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### Sampling of the DTFT causes the inverse transform to become periodic?

As you can see the above equation, DTFT is calculated from sample x[n] which is discrete sample of x(t). But calculated X(w) is continuous, even though it is calculated from discrete value of x[n] as ...
1 vote
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### Single Kalman Filter: Resistance based on measurment of current and Voltage [closed]

Given measurement of voltage and current, which contain gaussian noise with known variance and a constant unknown offset $a_0$, I have attempted to estimate the resistance $R=\frac{V}{I}$. The ...
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### Interpreting sensor noise data

Introduction :I am trying to create an EKF for an autonomous vehicle, and i need to model the error of the sensors. (I am a mechanical engineer so my knowledge on electric signals is limited). The ...
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### Strided unpadding energy relationship?

If x1 = x0[::2] is unaliased subsampling, then $E(x_1) = E(x_0)/2$, which can be proven via Parseval's theorem. For same $x_0, x_1$, however, ...
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### Average of discrete periodic signal

I am working on a project which, at some point, relies on the computation of the average of discrete signals, which typically look like this: The project generates hundreds of such signals, and: the ...
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### Applying a window to a signal

How can I Gaussian or Bartlett window to a signal? On the other hand, is it a good way of smoothing signals? If not what are the differences between smoothing and windowing?
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### n-dimentional integral over Multivariate Gaussian

given the prior distribution of $\mathbf{a}=[a_1,\ldots,a_K]^T$ as \begin{equation} p_{\mathbf{a}}(\mathbf{a})= \frac{1}{\pi^K \det{\mathbf{R_{\mathbf{a}}}}} e^{\mathbf{a}^H \mathbf{R}_{\mathbf{a}}^{-...
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### Multi-path equalization in SERDES system analysis

In transmitter I send the data 1 sample per bit, then received in Rx passing by ADC then FFE adaptive filter and then a slicer to return the samples in bits and calculate the BER and it works well ...
115 views

### Spectrum of triangular pulse - MATLAB

I am new in matlab.I was given the code for spectrum of rectangular pulse of amplitude 1V and duration 1ms, and now I have to find the spectrum of a triangular pulse of amplitude 1V and duration 1ms ...
1 vote
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### How to calculate frequency of a periodic signal?

I know there are similar topics but I can not find any solution in my situation. I have an accelerometer sensor and a basic microcontroller. Accelerometer data is collected in an array via i2C. I want ...
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### How to compute the inverse Z-transform

How to compute the inverse Z-transform of the form $$G(z)=\frac{z^{2n}}{a(z^{2n})+b(z^n)+c}$$ I started by taking $$F(z^n)=G(z)$$ so $$\frac{F(z)}{z}=\frac{z}{az^2+bz+c}$$ This can be solved ...
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### Signal decomposition to even and odd components

I'm trying to decompose some signal to even and odd components, here's the Python code of it: ...
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### Questionable results of on-line butterworth bandpass filtering using scipy.signal.lfilter

I have a data_stream that I'm attempting to filter using two on-line butterworth bandpass filters to extract two frequency bands of interest. The original ...
1 vote
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### What is meant by discrete time plot with Whatsapp voice notes? [closed]

You might have noticed ,as shown highlighted in attached snap, whatsapp voice notes are bearing a discrete time plot Is it exactly referring to sampled(discrete time)version of waveform of actual ...
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### Question in DSP signal flow graph

How to convert signal flow in Fig3 to Fig4? Is these two equivalent? ZHANG Xiuli, ZHANG Ruihua, CHEN Weidong. Design of digital parametric equalizer based on second-order function[C]// IEEE ...
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### 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? ...
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### Clear understanding of compressed sensing

I am trying to get a clear understanding of how compressed sensing works. A continuous signal $x(t)$ is under-sampled (less samples are collected than the numbers required by the Nyquist theorem). The ...
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### How to get epochs from eeg data in python?

I am working on sleep stage classification and have EEG data from the link : https://physionet.org/content/hmc-sleep-staging/1.1/ I am using pyedflib to extract the data. I am tring to extract the ...
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### Why does the variance of the Empirical Transfer Function Estimate not decay with increased sample points?

Please refer to Ljung's Lemma 6.1. In short, this lemma tells us that for a given LTI system $y[n]=g[n]*u[n]+v[n]$ where $v[n]$ is a stationary stochastic process with a zero-mean and a finite power ...
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### Getting the detail coefficients as feature vectors

I am trying to get feature vectors from the coefficients I have generated. The spectra are decomposed using 8 levels and I am only choosing the coefficients of ...
If a system has transfer function $H(z) = 1 + z^{–1} + z^{–2}$, then for an input signal of the sequence = {1,2,3,1,4,-2, 4} calculate the output sequence of the system. DO i put transfer function ...