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I have two processes, one is normal and the other with some cracks of material. And I have the acoustic signals got from the materials by a sensor. I want to compare these signals to see if this signal can be used to detect cracks. I think two different processes (with and without cracks) will create two different sign... |
I'm trying to use Morlet wavelet to reduce noise in my signal.
I found formula for Morlet wavelet
$$\Psi(x) = \frac{1}{\sqrt{\pi\cdot \textrm{bandwidth}}} \cdot \exp\left(i \cdot 2\pi \cdot \textrm{centerFreq} \cdot x\right)\cdot\exp\left(\frac{x^2}{\textrm{bandwidth}}\right)$$
(sb told me I shoud use formula for com... |
I'm new to FFT and DSP and I want to ask you some questions about calculating FFT in Matlab. The following code is from Matlab help, I just removed the noise.
What happens if I choose the length of signal L > NFFT? and what's about choosing L different form NFFT?
In the following code, I'm not sure if I used window co... |
I am stuck at modeling a system model, i.e. getting my state vector and input vector. My guess is that position and velocity are state vector and acceleration is input vector. My 2nd guess is that all three quantities are in state vector and none in input vector.
So... what is state vector and what is input vector in m... |
I have a sensor producing (more or less) bandlimited data with a cut-off of about 45Hz, with a roll-off and AWGN. I have an ADC that samples said signal at 800Hz, with a single-pole anti-aliasing filter at about 200Hz. The problem is, I only have enough communication bandwidth to send samples at 100Hz and therefore som... |
I just recently started out with Image processing and taken up a course related to it in Grad school. But I already have a project to do without too much information about the subject, however I've made some steady progress. I am trying to segment the pills from their respective backgrounds. For images with contrasting... |
If you have a function $f(t)=A \cdot \sin(\omega t+\phi)$, and reference sin wave $\sin(\omega x)$ what would be a fast algorithm to compute $\phi$?
I was looking at Goertzel algorithm, but it doesn't seem to deal with phase?
|
I was wondering if the spectrogram can be used as a MATLAB tool to check whether or not aliasing will occur when the signal is downsampled from let's say, 44.1kHz to 8kHz? And if yes, how do I go about it?
|
For a project, I want to measure the contrast of a global image.
I want to compare different images to get the image with the best contrast.
I know about the Weber contrast, but I need a normalized contrast value (in the range between 0-1 or other).
Is there a simple method to do this in openCV?
|
I have a really noisy ECG Signal which contain, motion artifacts,muscle noise, a very high amplitude noise.
I am beginner to DSP. Can someone tell me in a simple language,how do i interpret the signals feature when i get this kind of image.
samping frequency is 1000hz. i used psd.welch in matlab.
Why it is plotting aga... |
I'm reading this material but I don't understand this example:
"An example of a 94% overlap transform processing could be demonstrated by a 279 sample frame with 262 samples overlapped from each frame into the next. At 12.5 MHz sample rate, each spectrum frame would occupy 23.76 µs. Each spectrum would start 1.36µs af... |
I have been given an audio file (sine wave) 1000Hz as an input to my FFT algorithm.
I have got 8192 power spectrum samples in a array.
What is the best and easiest way to check whether my output is right or wrong?
If I give a silent audio file then the output is zero for all samples.
In a sine wav the o/p increases fro... |
I have been reading chapter 13.4. ("Power Spectrum Estimation Using the FFT") of the Numerical Recipies Book.
Some things related to the expectation value of the "periodogram estimate of the power spectrum" became not clear to me though.
Background
Suppose we have an equally-spaced $N$-point sample $ c_0 ... c_{N-1} $... |
I'm trying to transforming an already know signal from time domain to frequency domain using fft function in MATLAB. And I got different values of amplitude when I change the value of length of signal $L$. I'm therefore wondering if there is a rule to choose the length of signal when calculating FFT.
I have an acoustic... |
I try to detect rectangles in images. The background of the images is
one color (most of the time). I tried two methods to get an binary image (1 = background, 0 = edges), to do an Hough Transformation later on...
Sobel or Canny Filter
Smooth image A, Create difference image A - gauss,
Create binary image with thresho... |
I'm working on an audio based application for android platform , I'm trying to use a low pass filter to a fixed or variable max frequency "depends on the cost of development".
first I've been playing around with FFT and I believe I can get results out of it "by muting the frequencies above the required frequency and th... |
I have a basic understanding of HMM's and as a final year project at school wanted to expand my knowledge further.
My basic idea was to create an algorithm that determines if someone is saying either Yes or No. As interesting as this sounds, it's relatively easy and I want something that challenges me even more and wa... |
This is the mathematical expression for Harris corner detection:
But I have the following doubts:
What is the physical significance of $u$ and $v$? Many references say it is the magnitude by which the window $w$ shifted. So how much is the window shifted? One pixel or two pixels?
Is the summation over the pixel posit... |
I'm trying to find the period of a signal. I've used FFT to compute the autocorrelation of the signal. As can be seen from the autocorrelation function (plotted below) I obtained, there are 70 sample between peaks which actually indicates the period of my signal.
What is the best way to extract the indices of these pe... |
I am having a VERY hard time capturing when the ball comes into frame in this video
http://www.youtube.com/watch?v=x1V6_OHrXIo
I have no idea what to set the parameters too, and trying random values doesn't seem to help at all, I can't see the pattern to know what effect the numbers are having. This is what I'm attemp... |
I have used Hidden Markov Model algorithm for automated speech recognition in a signal processing class. Now going through Machine learning literature i see that algorithms are classified as "Classification" , "Clustering" or "Regression".
Which bucket does HMM fall into? I did not come across hidden markov models lis... |
Currently I am developing a pedestrian counter project (using OpenCV+QT on Linux). My idea about the approach is:
Capture Frames
Do Background Subtraction
clear noises (erode, dilate)
find blobs (cvBlobslib) - foreground objects
For each blob, set ROI and search for pedestrians (LBP with detectMultiScale) in these blo... |
I have a signal which is sampled in real-time. At every time interval I receive a value. I need to characterize this signal as active or inactive (to take priority in the control actions). By active it means that we observe big changes over a specific time-window.
One way to do it as I consider, is to keep a history ... |
Ie, if you have as state variables position (p) and velocity (v), and I make low-frequency measurements of p, this also indirectly gives me information about v (since it's the derivative of p). What is the best way to to handle such a relationship?
A) At the update step, should I only say I've measured p, and rely on t... |
I am totally new to the Kalman filter. I've had some basic courses on conditional probability and linear algebra. Can someone suggest a good book or any resource on the web which can help me can understand Kalman Filter operation?
Most websites start directly with the formula and what they mean, but I am more intereste... |
Could the experts point me towards the best motion de blur algorithm? My images are blurred where I know the motion information with good precision(direction and angle)
There are so many deconvolution algorithms however I was not able to figure out which one would be best.
|
I have this confusion related to Laplacian filter. It states that it uses second derivative and finds the point of zero crossing(where the second derivative is zero) for which the first derivative has the high peak. I have seen them using kernels like
0 1 0
1 -4 1
0 1 0
I am not sure how this kernel finds the point o... |
Are there general techniques to derive DTFTs? Given a bandlimited function $x(t)$, how do I find
$$X(\omega)=\sum_{n=-\infty}^\infty x[n]e^{-i\omega n}$$
Generally, it is easier to derive the continuous transform (never mind the constants):
$$X(f)=\int_{-\infty}^{\infty}x(t)e^{-i \omega t}\, dt$$
because we have a weal... |
I am doing the project in audio fingerprinting, in that after I convert the signal into mono, I have to apply the hanning window, the size of the window is 370ms, and I have to overlap the signal with a factor of P=28/32.
How can i do that?
What is meant by 28/32?
How can I overlap this signal with this overlapping f... |
I need to enhance an image using only global linear adjustment of intensity, i.e.:
$$I'=aI+b,\qquad a,b\in \mathbb{R}$$
where $I$ and $I'$ are input and output (enhanced) image.
I already know how to determine best values of $a,b$ through histogram stretching given the minimum and maximum intensity within image. Howeve... |
I have a vector of signals and need to calculate the total energy. I have read somewhere that you can do this by summing up the entire vector and then finding the absolute value of the result. Is this correct? Could anyone suggest any tutorials, or, equations if this is the wrong method, thanks.
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I've heard this from a few different researchers but I can't find a definitive value. Given the "scale" extracted by David Lowe's SIFT detector, we need to extract a descriptor at a specific scale.
Is it 6 times the detector "scale"? 3? 1? I've heard conflicting values. What is known about this?
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I'm implementing a scale-space with o octaves and s scale levels in each octave.
Each octave is half the size the previous.
I have keypoints found in each octave, I need to approximate the real location of the keypoint to their location in the original image (before the reduction). I need it to be more accurate then j... |
I am looking to find out how accents could/would be detected by a programme, I haven’t as of yet undergone an experiment into detecting or observing anything noticeable about recorded accents. I am not sure a frequency/harmonic analyses will reveal anything. Trying to find any literature review on the subject is sadly ... |
I am interested in reovering images affected by blur of known orientation and known span.
Camera movement during capture is very small, blur span is of about 0-4px.
What is the most accurate way to model the blur PSF? For example, how would you model the blur PSF in these cases?
blur span: 0.6 pixels, blur orientatio... |
I was reading a paper and came across this:
I'd like to implement this in matlab, therefore I initially searched for a premade implementation. I stumbled upon this: http://www.mathworks.com/matlabcentral/fileexchange/5237-2d-gabor-filterver123 .
Though they use a different equation. My question now is: what is the dif... |
Adobe's Photoshop has an excelent filter called "Shadow/Highlight" used to correct, in one step, dark areas AND overexposed areas of a photo. By simple analysis, I suppose it uses some radius-dependent adaptive contrast algorithm (halo effect is typical), possibly combined with interpolation (even extra-dark or extra/w... |
I'm working on a project where we measure the solderability of components. The measured signal is noisy. We need to process the signal in real time so that we are able to recognize the change that begins at the time of 5000 milliseconds.
My system takes sample of real value every 10 miliseconds - but it can be adjusted... |
I'm completely new to this field.
Perhaps I'm calling it by a wrong name, but I want to analyze an audio track and retrieve a timestamp to beat mapping.
Is there an open source 3rd party library that can perform this, or could/should I do it myself?
|
If I use Goertzel algorithm for calculate the magnitude of current or voltage, use for measure current harmonic or voltage harmonic or fundamental component. I not use for detect harmonic. Do you know the accuracy for measure harmonics is good or not?,How much about relative error?
Another one question is The Accuracy ... |
Could you please help me to answer this question ?
We have a Shannon formula for Capacity as
\begin{align}
C=B\log_2(1+\frac{h*P}{B*N_0})
\end{align}
where h is a random variable which denotes the channel gain with channel mean power
\begin{align}
\Omega=E[h]
\end{align}
When I do the simulation such as for Rayl... |
Which method provides better noise immunity?
I know you can transmit more data via psk, but what about which method is less susceptible to noise?
|
I am tasked with designing the logic for an automatic gain control. It won't be a traditional AGC in that it has to run on a computer and continuously modifying the volume is not possible in the same way as it is in hardware. It will be more of a "roughly set the input gain for me automatically if it's way off" than an... |
Let's say the task is to determine element position on image.
First very important thing is correct detection of object then some algorithms of calculating position are used (for examble blob analysis). Everything depends on multiple things (detection correctness, used algorithms etc.)
Lets assume we have callibrated i... |
I have the absolute Spectrogram of an audio signals.
I lost the phase data of the Spectogram because of various processing applied on the original spectrogram of the signal.
I'm trying to reconstruct the audio signal in a meaningful (Audibly) manner from teh absolute value only of the Spectrogram.
The obvious inverse w... |
I need to compute FFT components and autocorrelation of a discrete signal. When I do not use any window function before taking FFT of the signal I get a reasonable AC function from FFT that includes some information about period of the signal:
However when I apply a window function (Hanning) before applying FFT I got ... |
I'm a little confused... I always thought the DFT of a convolution was equal to a product of DFTs, but when I tried this in Python:
from scipy import *
a = [1+0j, 2+0j]
b = [4+0j, 5+0j]
print list(ifft(fft(a) * fft(b)))
print list(convolve(a, b))
I got back:
[(14+0j), (13+0j)]
[(4+0j), (13+0j), (10+0j)]
Why are the... |
I'm after some advice on a problem that I am facing regarding signal processing.
I am processing a voice clip (.wav) and this voice clip contains noise, and I need to remove the noise and just concentrate on the Phones so I can analise them.
What I have thought about, and, what I have researched is, if I use zero-cross... |
I have computed the heart rate from two pleth signals (from two fingers -both are acquisition-ed from two different devices) heart rate pattern looks similar with some delay in it i could manually see the delay and add those offsets to the original pleth ...Is there any automated method to find the delay and to add tho... |
I recorded sounds with a microphone and I try to distinguish them in my Java program. The frequency works quite good, but if I look at the fourier transforms it seems like there should be more features to distinguish sounds. I don´t know very much about signal processing, maybe you can help me. Here is a picture of two... |
According to Wikipedia,
The sine wave or sinusoid is a mathematical function that describes a
smooth repetitive oscillation.
The formula for the Sine wave is,
A = Amplitude of the Wave
ω = the angular frequency, specifies how many oscillations occur in a unit time interval, in radians per second
φ, the phase,
t = ... |
I'm doing a rigid body between point clouds using SVD.
Sometimes the routine produces an incorrect rotation matrix with a Determinant=-1, ie a reflection matrix.
Any idea why ?
Is there a valid way of converting the result into a correct matrix?
|
I am reading bishop book on pattern recognition and machine learning. Going through the introduction section, I am not sure if I get the differences between the two widely used term "test data" and "training data". Is training data the data you will have after the pre-processing stage which is also called feature extra... |
I'm looking for a formula to calculate the bit error rate of a wifi communication 802.11a/b/g according to the distance between transmitter and receiver.
|
Whenever we listen stereo songs, one part of the audio like voice hear at the center of the head, and other parts are nearby left ear and right ear. If I represent center part by C, and other parts by L' and R', We may model our original left and right channel as,
L' + C = L and,
R' + C = R.
As, common part of L a... |
I am trying to understand what happen when we take FFT2 of a matrix in a matlab.
first have a look at this simple example,
a=ones(8); %8x8 Matrix of Ones
fft2(a)
it will generate the following output,
64 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 ... |
In image processing books , we are told that Images need to be padded while doing filtering in the frequency domain. Why we need that zero padding ?
|
I am having trouble identifying the frequency components of an image,
Here I simply generated, 256x256 binary-image.
a = [zeros(256,128) ones(256,128)];
imshow(a);
Taking the image FFT and shifting the Zero-frequency to the center,
f = fft2(a)
shft = fftshift(f);
imshow(log(shft)) %stretching
will result,
How do I ... |
My main reference for machine learning and pattern recognition is Pattern Recognition and Machine Learning by Bishop. But I want a complementary reference to this which has more exercises and explains the mathematical stuff in more details, e.g. formulas and proofs.
|
I am somewhat new to signal processing, but i'm hoping I can provide enough information in order to be pointed in the right direction.
I am working on analyzing the frequency spectrum of audio signal impulse response. A few of the impulses seem to have what looks like a large variable dc bias, and when performing a FF... |
In Bishop book, page 4, section 1.1, there's a notation I don't seem to understand what's meant by it. The whole paragraph, with which the section begins, is:
We begin by introducing a simple regression problem, which we shall use as a running
example throughout this chapter to motivate a number of key concepts. Sup... |
I am calculating Time period of Sine/Cos Wave with different frequencies while keeping the Sampling Frequency at 1MHz and plotting it, but in some cases the value of time period is too big,
have a look at some of the examples.
n=[0:0.1:10] %because Time period is 10
F1=100*10^3; %100KHz and t=1*10^-5
Fs=1*10^6; %1MH... |
to get the envelope of a time domain signal, s(t), I use the absolute of its analytical time domain signal. But there occur the problem that sometimes the envelope is not as desired a true envelope but it follows more or less the original time domain signal.
Just for illustration some python code where the plot looks g... |
The highest voted answer to this question suggests that to denoise a signal while preserving sharp transitions one should
minimize the objective function:
$$ |x-y|^2 + b|f(y)| $$
where $x$ is the noisy signal, $y$ is the denoised signal, $b$ is the
regularziation parameter, and $|f(y)|$ is some L1 norm penalty.
D... |
How does the Amplitude of the Signal is changed when taking the FFT of a Signal,
Have a look,
The amplitude had changed from 2 to 30,
and Here is my code for generating the above output,
f=1e3; %Frequency of Wave
A=2; %Amplitude
Fs = 1e6; %Sampling Frequency
Ts = 1/Fs; %Sampling Rate
t = 10/f; %Time p... |
I have sets of data of different deep sky objects. My job is to check for any periodicity.
I use IDL to run an FFT and wavelet methods to check for a signal. To test my code I ran the IDL built in FFT operation on a sine wave, my code works.
I then add noise to the sine wave and increase the noise until I cant disting... |
A client was trying to send me 250 GB worth of files. After attempting various ways of sharing the data, he sent me a zipped folder only 4 GB in size. That sounds like too much compression to me--I don't think when I've zipped things I've ever reduced more than 20% of the size.
What are some typical lossless compressio... |
I implemented a 4-point radix-4 FFT and found that I need to do some manipulation of the output terms to get it to match a dft.
My code is a pretty direct implementation of the matrix-formulation so I'm not clear on what the problem is
// |
// radix-4 butterfly matrix form | complex mu... |
I am sorry, this is a very basic question. But i am having hard time understanding is how it is possible.
I know impulse response is the output of the system when impulse sequence is given as input with initial conditions set to 0.
Scaling is to increase the amplitude of the signal, i.e. if i multiply the input by 2, o... |
I am new to linear algebra and have this simple question...
in least sqaure estimation...the best estimation of the equation $Ax = b$ is $x_{Estimated} = A (A^t A )^{-1} A^t b$...the projection of $b$ on the column space of $A$ is $p = A (A^t A)^{-1} At b$ which is written as $p = P b...P$ is the projection matrix = $A... |
So, When we take the FFT of any Composite or Single Sine Wave we get exact frequency on x-axis of the plot.
The point where we get the original frequency in FFT is depend upon the Sampling Rate and the Length of the actual signal, i.e
If there is Sine wave of 100KHz and the Sampling Frequency equals to 1MHz, and If we ... |
I'm reading a Goertzel algorithm paper and an embedded article. I have several questions:
I don't understand why the the magnitude is calculated as follows:
$$\text{Magnitude} = y^2[n-2] + y^2[n-1] - a * y[n-2]y[n-1]$$
where $a$ is some coefficient. Can someone elaborate on why this is the expression?
Minimum block ... |
We can write the error function ($E(w)=1/2\sum_{n=1}^{N}\{y(x_n,w)-t_n\}^2$) as a linear model using its partial derivatives. Is it possible to do the same thing about the modified error function?
The modified error function is (page 10- pattern recognition by Bishop):
$$E(w)=1/2\sum_{n=1}^{N}\{y(x_n,w)-t_n\}^2+\dfrac ... |
I'm trying to apply a sliding window minimum and maximum filter to an image of a certain window size. Actually, I'm trying to find the optimum window size for it. But I really haven't gotten the hang of it. I presume that I should be using blockproc to implement the sliding window, but not really sure how to find the m... |
Accidentally asked this question in the general area and was told to ask here, so...
I've been trying to develop a lightweight, relatively-fast-to-decode sound compression format for use in my gaming projects (perfect reproduction is not needed so I only use 16 bit data).
The idea is to split the sound data into 14-sam... |
So, when we Sampled any signal at the rate lower than Nyquist Frequency we get aliasing,
for instance,
If the frequency of Cosine wave is 5Hertz and I had to make 5cycles in a second and if the sampling frequency is 8Hz,
Frequency = 5Hz
t = 0.2 <- 1 complete oscillation takes 0.2seconds
Sampling Frequency = 8Hz
then Sa... |
This is a page from the book linear algebra,geodesy and gps by Gilbert Strang....
the page explains about the justification of the inverse of the of the co variance matrix of measurement vector $b$ in the over determined system $Ax = b$ as the best weight matrix for best estimate of x.
what does the line errors conta... |
How to find poles of transfer function by looking at the step response?
Given a step response graph like such:
How would I find the sketch for its poles on the complex plane? The only thing I can gather are the rise time, settling time, overshoot, etc. But how do I derive the poles from that?
|
I want to print some line drawings on A3, but they aren't very large - around 600x800px.
I tried obvious functions in Gimp, like resize then enhancing with wavelet sharpener or unsharp mask, with selective gausian blur before it, but print results are no good.
They are not easy for vectorization either, but perhaps twe... |
In case of 1-D FFT it is far more easier to find number of harmonics and their Respective frequencies and amplitudes.
Lets say if i have 8 points signal the harmonics of it then would be 7 with one DC point i.e,
the harmonics after 4th points would have negative imaginary part as it below the nyquist rate.
but if I've... |
I have a well-defined object and a clear image matrix of it. In subsequent frames the object moves, causing motion blur. I want to use the object as a reference to "guide" the deconvolution and eliminate the motion blur.
My idea is to use a feedback loop: do object detection, find the object, then cross correlate with... |
When considering a linear-Gaussian state space model, it is often referred that, optimal inference is tractable which is very rare in state space models. When considering a nonlinear state space model, it is said that, in general the posterior distribution is intractable, therefore, inference methods should be used to ... |
Image registration algorithms are usually based on point features such as SIFT (Scale-Invariant Feature Transform).
I saw some references to line features, but I was wondering if it would be possible to match image segments instead of points. For example, given source and transformed image:
I can do edge detection, bl... |
A simple question as the title indicates:
Let us assume that we have two signals, measured from two different sensors that are close together. (For this application, the sensors are measuring blood/biological activity at different positions on an animal body).
I am wondering when, (if at all), measuring the rising edg... |
To my ears, sawtooth and square waves are more similar to each other than either one is to a triangle wave. However, when I compare their magnitude spectra against each other using normalized cross-correlation, the square and triangle waves are the most similar to each other, followed by the sawtooth and triangle waves... |
I have a system of the form:
$$T(x(n))=x(n)+3x(n-2)-5x(n-3)x(2n)$$
I claim that
$$T(x(n-k))=x(n-k)+3x(n-k-2)-5x(n-k-3)x(2n-2k),$$
$$y(x(n-k)= x(n-k)+3x(n-k-2)-5x(n-k-3)x(2n-2k)$$
and
$$T(ax_1(n)+bx_2(n))=ax_1(n)+bx_2(n)+3\left( ax_1(n-2)+bx_2(n-2)\right) - 5 \left(ax_1(n-3)+bx_2(n-3) \right)\left( ax_1(2n)+bx_2(2... |
I have an input signal $$x(n)=\left(3,-5,4,3,-1,-2,6,8\right), n=-3,..,4$$ and impulse response $$h(n)=(1,-1,1,-1,1), n=-1,...,3.$$
The convolution between $x(n)$ and $h(n)$ is
$$x(n)*h(n)=\sum_{-\infty}^\infty x(k)h(n-k)$$
If I'm not mistaken, I can reduce this to the finite sum
$$=x(-3)h(n+3)+x(-2)h(n+2)+x(-1)h(n+1... |
The starting assumption for compressed sensing (CS) is that the underlying signal is sparse in some basis, e.g., there are a maximum of non-zero Fourier-coefficients for an $s$-sparse signal. And real life experiences do show that the signals under consideration are often sparse.
The question is - given a signal, be... |
I have this code for Gamut3D in RGB, but I'm looking to convert it into LAB colorspace but I'm not really sure what changes I should be making.
rgbImage = imread('pill1.jpg');
% Get the dimensions of the image. numberOfColorBands should be = 3.
[rows columns numberOfColorBands] = size(rgbImage);
% Display the original... |
I'd like to use STFT for multipitch analysis.
I realise detecting the partials existing in the signal is just the beginning.
Still I have problem with it.
Let's say I have signal sampled with 'CD' frequency 44100Hz.
With window of 1024 samples I get frequency bin resolution of 22500Hz/512=43Hz.
This is enough only to ... |
I have a flying robot with magnetic coil as a sensor. An output from the coil is measured every second in different position. I know the position of the coil and its angles. I need to estimate the unknown position of magnetic source.
As the output is with noise I assume I need to use Kalman filter, but not sure how to ... |
I would like to sum a filterbank made of bandpass butterworth filters to reconstruct an audio signal. Given group delays for each channel shown in the following plot . . .
How would I go about designing complementaty allpass filters to flatten this out somewhat? It doesn't have to be completely flat, just a bit flatt... |
Interpreting some homework, I'm a little confused on what it's asking for. I'm asked to filter in the frequency domain (easy enough, just a fft2 and ifft2 when I'm done) a 256x256 8bit grayscale tiff with the following filters:
"Rectangular low pass filter using cutoff frequency of
(uc=N/4,vc=M/4) where N and M are th... |
I have a hydraulic breaker on a excavator that hammers with a dynamic bpm. I have recorded this sound so that it is in a mp3-file and would like to determine the momentary bpm for the length of the file.
I have tried using processing with beat detection from the minim-library but so far without any good results.
Is u... |
I’m trying to understand the conception of function maxstep
The foundation of this function is function firwiener with input parameters: length of adaptive filter, samples of input signal, which returns dLam, kurt
and then step size calculated as:
*mumaxmse = 2/(max(dLam)*(kurt+2)+sum(dLam));*
Though, with some... |
I'm very new to signal processing, and have been struggling this far. I've a rather messy signal measuring respiration using some chest bands and would like to focus solely on the inspiratory half of the data - ie. set the beginning of each inspiration to zero while maintaining the inspiratory amplitude of each breath.... |
I am looking to understand recommended shapes of structuring elements used in calculating morphological gradients. According to Pierre Soille: Morphological Image Analysis:
Only symmetric structuring elements containing their origin are considered. By doing so, we make sure that the arithmetic difference is always non... |
I am looking for advice on a project I am thinking about completing (for experience etc..)
My project is triggering a set of traffic lights (simulation) using Speech recognition. In theory, I want to use a HMM (Hidden Markov model) to determine whether someone wants to cross the road or not, this can be determined by s... |
First off, what does orthogonality mean in the context of adjacent channels in a filter bank?
Secondly, I am reviewing some code in which the dot product of the transfer functions of adjacent channels are being used to "test orthogonality". Is this a formal method with a name? How does it work?
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i want to track random moving object with a camera using kalman filter...i have the following questions...
Randomly moving target means $Corelation(t) = E[ x(T)x(T+t) ]$ is very low...where $x(T)$ is the position of the target at time = $T$ along an axis say $x$ axis..eg...moving hand...moving bird..moving ant..what w... |
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