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I am hoping to create an application that would listen to ambient sound and detect if music is being played. It is not important to identify the music being played; just detecting that some music is being played is enough. I looked around for existing solutions but couldn't find any. Does anyone know algorithms that I ...
I want a relatively easy to implement but relatively reliable algorithm for detecting beat locations in an audio file.What I am aiming to do is get the location of the closest beat to a particular time instant i.e if given current playtime, how can I get the location of next beat.Does anyone know of any algorithms that...
I would like to be able to compute the so-called "free distance" for a TCM with a rate 2/3 convolutional code (two inputs, three outputs) inside that I plan to use for 8PSK. My previous assumption was that I could simply compute distance between the "null sequence" and the next closest sequence because the code is line...
I'm reading "Digital Signal Processing", written by Michael Weeks. In section Representing a Digital Signal as a Sum of Sinusoids, there is this Matlab code that I cannot understand. (code given below) What I don't get is what does the term inside cos argument 1/Xsize mean (in part %Do the sinusoids as discrete points ...
I want to store a small amount of data in a sound file recorded by a microphone but I know nearly nothing about signal processing. I managed to demodulate my data encoded using binary phase shift keying with this schema: (From here: http://courses.cs.washington.edu/courses/cse561/10sp/project_files/FinalReport_FCI_YH....
in the past couple of years I've always been using Laplace transform for system responses, but today tried to do it with Fourier transform and failed. What am I doing wrong? If we have a signal $x(t) = 1 + \cos(\frac{4\pi}{3}t)$ and system impulse response $h(t) = e^{-3t}u(t)$, getting $y(t)$ with $y(t) = \mathscr{F}^{...
Is there an application where it is required to predict turning-points of a signal that is like a sinusoid with constant frequency, variable amplitude and some noise (Gaussian additive noise)? The amplitude of the noise should be less than 10% of the amplitude of the original sinusoid every "oscillation". Reason I ask ...
I am doing my final year project on Image Processing.I want to know about the Support Vector Machine.Please suggest some links for the former. Thanks and regards in Advance
I'm studying book about digital filter by Richard Hamming. And there is exercise to get odd and even expansion of g(x)=x where x is from 0 to $\pi$. I understood even expansion, but can't get into odd expansion: $\pi$ - $2$*(${\rm sin} x$ + $\frac{1}{2}$${\rm sin} 2x$ + $\frac{1}{3}$${\rm sin} 3x$...) Can anybody expl...
I was given this question on a job interview and think I really messed up. I was wondering how others would go about it so I could learn from this experience. You have one image from a surveillance video located at an airport which includes line of people waiting for check-in. You have to assess if the line is big/cro...
With a signal x of length $2^{16}$, the DWT (computed for example with pyWavelet's wavedec) has only 16 or 17 rows (the wavelet scale is dyadic). Is there a DWT with more scales? (ex : 1024 rows instead of 16!)
I'm recently doing research on EMI, and I want to seperate the mixing signals. However, the data given is in frequency domain. As I have used ICA to solve blind source separation problem in time domain, can this be used to solve BSS in frequency domain? And how? I can not imagine how this would work. I would appreciate...
Which signals or set of signals is the most predictable or in other words most self-correlated (autocorrelation)? I think one of them is $x(t)=c$, for all $t$, where $c$ is a scalar constant. The other one can be $x(t)=c$, for $t=t_0$ and $x(t)=0$, otherwise (a discrete signal with only one value). $t_0$ is a constant....
I have a sinusoidal time domain signal with few damped exponential components. i.e. fn=[0.4 0.6 1.0];E=[0.03 0.05 0.1];A=[1.0 2.0 3.0]; wn=2*pi.*fn;a=E.*wn;wd=wn.*sqrt(1-E.^2); x=A(1)*exp(-a(1)*t).*sin(wd(1)*t)+A(2)*exp(-a(2)*t).*... sin(wd(2)*t)+A(3)*exp(-a(3)*t).*sin(wd(3)*t); How can I extract the damping ratios...
I started a DSP course online and quickly discovered that as much as some people say that it is possible to avoid the more advanced mathematics of signal processing, this didn't seem the case. It seems like a solid understanding of Calculus and Probability Theory is needed to properly grasp the subject and to be able t...
i want to understand ,how to find out Discrete wavelet transform of image 4 by 4 size using Haar wavelet on paper ?
My requirements are these: Fast classification of vectors of length 100 to one of 30000 classes Iterative learning (can improve the model after it was first learnt) Preferably available implementations in Matlab and Java Thanks
I am doing a project on panoramic stitching of Images using Emgu CV (Open CV for C#). Till now I have done some work that stitches images but the output is kinda weird. This is what I am getting: My panorama: This is what the Emgu CV Stitcher.stitch method gives: Stiched by inbuilt stitcher Clearly I am missing som...
This is a problem I have had to deal with in several different contexts now. Given a real time signal which you expect to act as a noisy step function (periods of stability separated by quick changes in magnitude). How does one identify when the signal has stabilized? The tension in this problem is between identifyi...
I have some images of a background, and of steam that I am subtracting to extract just the steam. Unfortunately, because the camera conditions are not perfect the differenced image is always a few pixels off generating sharp lines where features in the background don't match up pixel-by-pixel like so I'm interested in...
I am a civil engineer and am analyzing traffic data recorded by capturing vehicle movements over a highway for a specified time period. The database I am dealing with contains observations at every 0.1 seconds (total about 4 million rows) and has some 'noise' in position (lateral and longitudinal) columns. A research p...
I was asked to find a way to analyse/process a particular set of data collected by oil drilling rigs. Among these real-time collected data we have the "mudflow", BUT, as the rig is floating it moves up and down due to waves and tides. When the rig moves up the mudflow is slightly lower and when it moves down it's sligh...
I want to use the L*a*b color model for recognition of a particular colored object by calculating the euclidean distance between the desired color in current image and the same color in next image frame. As the LAB color space was designed in keeping with human vision, I think it can be used for the purpose. Is this c...
I have the edge information of the signal. I need to find if it's a Clock or Data type signal without iterating through all the points in edge vector... Please provide your valuable inputs
I just started a project in the Smart Grids area. It involves the recognition and quick extinction of earth faults in a medium voltage system. The system works automatically and pretty much gets rid of earth faults very quickly. My task is to make and algorithm to also know where the earth fault happened along the netw...
I am trying to recognize the wood chips in the image shown below. The ultimate goal is to try and recognize the width and length of each wood chip. Currently, I am using an approach that involves bilateral filtering on a grey-level image + Canny edge detection + Hough line transform. Results are somewhat iffy - can yo...
I would like to synchronize two different music tracks (and maintain synchronization) as a DJ would with two records. So far, I have the beats mapped for each song, so I am able to adjust their rates and time align them accordingly. What I've found though, with many sample tracks, is that the two tracks will drift out...
Let x[n] and y[n] be defined for n=0,1, ..., N-1. This (for example with Python's scipy fft / ifft) a = ifft (fft(x) * fft(y)) should give the convolution $$a[k] = (x * y)[k] = \sum_{n=0}^{N-1} x[n] y[k-n]$$ But is it done with y[i] = 0 if $i<0$ ? or y[i] = y[N+i] if $i<0$ ? (ex : y[-3] = y[N-3] ) (in this...
I am wanting to compute the Z-transform of $f(n) = a^{|n|}$ . 'a' is a positive constant. Looking at the transform table, I found that Z-transform for $a^n u(n)$ is available from the tables and is $\frac{Z}{Z-a}$. Where $u(n)$ is the unit step function. I am trying to decompose $f(n)$ as -- $f(n) = a^n u(n) + a^{-...
I am just begining learning about DFT and I am bit unsure on what is happening mathematically during DFT. I've sampled a signal , a sine wave sin(1000*2*pi*t). And performed DFT to calculate the Ck-coefficients, by plotting the Ck coefficients with different k values. The frequency resolution is 8000/205 where 205 is...
I'm implementing a baseline system that uses a Vocabulary Tree, i.e. a BoF model based on HKM, for images classification. Currently I'm obtaining low quality recognition due to the poor quality of the quantization structure resulting from the HKM. I'm obtaining 100.000 words in my final vocabulary in a tree of depth 6 ...
I want to make image processing programs which talk about homomorphic filter. But when I read some articles, I can't get it. Maybe can anyone help it. I very need this. Sorry about my english. I change spatial domain image to frequency domain with discrete Fourier transform. Right? Formula Forward DFT: What are M an...
I'm a computer science student and I have an assignment requiring me to implement the algorithm proposed by this paper but I'm hitting a roadblock trying to understand the implementation of one of the methods proposed in the paper. I'm not sure if I understand Section IIIB well. This is what I understand so far. In or...
Suppose that we have some peaks of a signal and we know the time lag between dominant peaks. How is it possible to remove the extra peaks by applying time lag ? Lets say it in MATLAB [corr]=xcorr(signal,signal); [val1 ind1]=max(corr); corr(ind1:length(corr))=0; % symetric properties of correlation [val2 ind2]=max(corr)...
First, I just want to start off by saying that I am a programmer, and am no expert in complex algorithms, and will probably not be able to apply complex pseudo-code or other descriptions of a solution. I have already asked a similar question on one of the programming SE forums in hope of finding a code sample, but no o...
Is wavelet a Nonlinear transform, or Not? specifically, continuous wavelet transform with morlet function. I am studying behavior of a dynamic system, and it has nonlinear behaviour. can I employ wavelet transform?
Consider the stationary VAR process $${\bf X}_t = \sum_{\tau = 1}^{L} A_\tau {\bf X}_{t-\tau} +{\bf \epsilon}_t$$ If the innovations $\epsilon_t \sim MVN({\bf 0},\Sigma)$ then is ${\bf X}_t$ a Gaussian stationary process? Is it correct that due to the invertibility of the VAR into an MA and observing that ${\bf X}_t$ ...
I'm trying implement in Java cubic spline interpolation based on this document: http://www.geos.ed.ac.uk/~yliu23/docs/lect_spline.pdf At first they show how to do linear spline and it's pretty easy. I create functions that calculate A and B coefficients. Then they extend linear spline by adding second derivative. C and...
I have just started working on FFT and its related phase factors. I have read for an N=2 point FFT, We have two phase factors, one on the positive axis and one on negative axis. similarly for an 4 point FFT, we have 4 phase factors as theta=(pi/2), at 0' W 40=1 -90' W 41=-j 180' W 42=-1 90' W 43= j here we can se...
In visual bag of words model, I have been able to construct the visual codebook through kmeans clustering of SIFT descriptors. How to calculate the feature vector for an image then? P/S: For each image, we can find interesting SIFT points, and for each points we have a SIFT descriptor (which is usually a 128 length vec...
I have a differential equation that has been proven to be correct. The transfer function obtained by Laplace domain analysis and Matlab freqs match up and all is well. The problem is somewhere in my attempt to digitize the differential equation. I am required to do this using the trapezium rule to approximate the anal...
I don't have background knowledge about signal processing before and new at Matlab too. I have EEG data (with noise removed) 1x128; sampling rate = 128 Hz, It's means that I have 1 sec. data right? OK, I need to extracted to 5 frequency bands that are Delta (0-4 Hz), Theta (4-8 Hz), Alpha (8-16 Hz), Beta (16- 32 Hz) an...
I have a slight confusion differentiating between object recognition and object detection. Some people say object detection is a sub-topic of object recognition? Can someone clarify the the difference between these two topics? To the best of my knowledge: Object Recognition is responding to the question "What is the ob...
I am working on blood vessel extraction, i want to know whether we can extract blood vessel using machine learning algorithm? which algorithm i can use to yield good results?
I have an IIR routine in C++ I'm trying to speed up. Currently I'm using a DF2 implementation. Since my input signal will always be either 1.0 or -1.0 is it possible for me to optimize the algorithm, removing some calculations or precomputing values for given blocks of input? Thanks!
I have read a signal in Matlab, resampled and implemented an FFT of each frame on it, now I want to rotate the domain of phase in each frame 90 degrees. I have a vector of FFT and used the function named rot90(matrix), that rotates a matrix 90 degrees, but I'm not sure it is what I wanted to work correctly on my functi...
I have a signal I'm getting from a sensor (shown below in the photo of an excel plot) and I need to process it to get it to look something like the red line I've overdrawn on it. Sort of a moving average type process that doesn't fall too quickly unless the overall signal is actually falling. Anyone have any ideas as ...
I have an application which creates a Gaussian model of the background based on consecutive frame difference and auto-generates a threshold for separating no-changes to movements. The application works perfectly for artificial lighting. But when daylight is present alongside artificial light, I get something like ths ...
I've been playing with DTMF frequencies and the Goertzel algorithm, and would like to know exactly HOW the DTMF frequencies were determined. I understand that they were chosen such that none of the frequencies would be equal to sum and difference frequencies, or intermodulation products, but I can't find any informatio...
I am working on a SLAM algorithm as part of my research and I am having issues reliably extracting landmarks from sensor (Kinect) data. (I've never dealt with machine vision before.) I am looking to detect corners and their range/heading in real-time (close to 100 Hz if possible?). The main control software runs on Ma...
I need to propose a masters degree topic, and I'd like it to be in digital image processing. What are currently relevant topics in this area? I suppose that I'm looking for some kind of optimization, either in hardware (like parallel processor architecture for image processing maybe) or software (image processing alog...
I am trying to implement the algorithm described in this paper. However, I am having trouble understanding the last part where I need to find the energy differences of bands. In another paper, this process is described as shown below. Also, I am not sure I understand that either. What exactly I should do in this part ...
I have trouble to distinguish these two concepts namely ergodic process and strict-sense stationary process. I look at one of the books about the signal processing that says an ergodic process must be a strict-sense stationary one. So how to show this property? Can anyone help?? Thanks, Victor
I would like to clarify one doubt regarding autocorrelation function $R_x (\tau)$ of a process $X(t)$. Suppose $R_x (\tau) = \Pi (\tau)$, where $\Pi (\tau)$ is the rectangular function. Then is the process $X(t)$ deterministic.
I'm trying to implement a normalized cross-correlation algorithm but I don't get what in fact is this measure. What confuses is the wikipedia definition: $\frac{1}{n} \sum \frac{(f(x,y)- \overline{f})(t(x,y)- \overline{t}) }{\sigma_{f}\sigma_{t}}$ Which result is an scalar (AFAIK) But then adds other way to measure it:...
I need to find the timedelay between two signals. I guess MSE is the best approach. How to find that MSE? I am writing the code and I have access to the autocorrelation matrix of one signal and the crosscorrelation of both signals plus the power of the signal. Is this enough information to calculate the MSE? Any ti...
I am currently toying around with the Discrete Fourier Transform (DFT) in Matlab to extract features from images. I like to fully understand the concepts that I use. I have read several explanations, such as this, but so far, none really explained the meaning of the "DC term". All I know is that the k'the term of the D...
I am trying to filter a signal using a given FIR band stop filter. I have to implement a band pass filter. Assuming I want to get the signal between normalized cutoff frequencies [0.2,0.3] - can I use two band stop filters over the same signal - one for the range [0,0.2) and second for the range (0.3,1] ?
I have a low-voltage amplifier with an analog LPF of ~106 Hz and a HPF of 0.482 Hz (both first-order RC). I can choose to apply a calibration pulse that will shut off the input and send a 500uV, 5Hz square wave across this analog filter band. The amplifier is followed by an ADC and I'm receiving all values in code. W...
I have sucessfully implemented a STFT (+inverseSTFT with perfect reconstruction of original signal, with overlap add, etc.) in order to work on audio files. Using this STFT / iSTFT framework, I have tested : Basic "noise reduction" algorithm that works by spectral subtraction of a noise template -> it works very well ...
Can somebody provide me with the mathematical equation to calculate relative and absolute power of a signal (continuous) from FFT.
Contextual knowledge (CK) is used in some AI application, Can someone give me a concrete definition of this term. I am working on ontologies( a set of concepts and relationships among them) and computer vision. I basically aim at integrating knowledge (ontologies) and visual features extracted from images to leverage m...
I'm trying to design a MATLAB audio player that includes something like a 31-band equalizer. Right now I have the filters working by using the FIR1() function to create an FIR bandpass filter at each frequency specified on the bands. This is great except that it's not exactly what I'm wanting to do. I want to either bo...
Assuming I have a set of frequencies $\mathbf F$, and I pick 2 frequencies $f_1$ and $f_2$ randomly from the set, generate sine waves for them, and pass the signals through a non-linear distortion process while adding them. Is there any way for the harmonics or intermodulation distortion products to have a magnitude ...
Suppose I have an instrument which is out of tune. For example lets say, as an example, the notes it plays are as follows: C+20 cents, C#+20 cents, D+20 cents D#+20cents etc. In other words, it plays all its notes 20 cents too high. I then record this instrument, having played polyphonic music on it. What algorithm ca...
I am new to the wavelet field, and I am working with ultrasound signal. For my study, I needed to measure material using the pulse echo reflection method. Basically, when the transducer transmits the signal, the signal will reflected back to the transducer. If material has a thickness, the signal will reflected for tw...
I a recent topic, it has been told that zero-padding in the STFT can improve it, and avoid some circular convolution related things. Here is my Python code for STFT : fftsize = 8192; overlap = 4; hop = fftsize / overlap # ie hop = 2048 here w = scipy.hamming(fftsize) # hamming window # x is the input signal,...
I want to take a real signal on my FPGA and create a complex one. I have FIR core implemted for a Hilbert Transform, and Xilinx's datasheet on it shows coefficients of: (-819,0,-1365,0,-4096,0,4096,0,1365,0,819) as an example. I wanted to add more taps, so as practice I used the matlab fdesign function: d=fdesign.hilb...
For example, I have an image There are 7 people in the image and one apple and a bird. How can I extract every person and every object from this image and put the 7 people and 2 objects into 9 different new images? How can I also identify which is person and which is object?
I know that the Fourier Transform of the autocorrelation function is the Power Spectral Density. But how can we arrive at such a result intuitively? Is it just a theorem?
As people acquainted with Compressive Sensing would know, incoherence and sparsity are two main principles. I've been reading about compressive sampling and developed an interest into the topic. What I'm about to ask might be quite basic so sorry for that in advance. As incoherence principle states, sensing basis and s...
I'm trying to calculate the short term energy of a digital signal in python, using a rectangular window, but don't understand the basics of how this works, a pointer to any good explanation would be great. Specific things I'm confused about: Where do I initialise the window? (at position 0,window_length, or -window_le...
I have the RLS algorithm implemented in two different ways - transversal and lattice. I was expecting them both to behave the same way, but they don't! Transversal seems to converge faster than lattice does. I'm not sure why. I plotted them together here: Lattice is shown in red, transversal is in blue. This is MSE. ...
I have a time series file which starts with 1 and then quickly tends to oscillating about 0.001. The time series has a resolution of 0.01s and has 10^6 sequential points starting from t=0. The goal is to study the divergence of the fourier transform at Zero frequency. Is there any trick that can be employed to improve ...
Given a blob of an image (representing an object), according to Wikipedia, we can compute the co-variance matrix using the image moments. I understand that the eigenvectors of that matrix can be used to represent the principal axes of an oriented bounding box (OBB), but what are the guarantees for that particular orien...
I have a video (in webm format), and I want to produce a graph that shows the degree of motion in this video as a function of video time. I'm sure there are many different ways to define "degree of motion", but I envisaged something that could be based on the average difference between pixels in consecutive frames, or ...
Why, when I have to calculate some types of noise (for example shot noise and others which are in the denominator of SNR ratio) or attenuation from turbulence, I have to use variance of the of the density probability and not the mean value? In all of the formulas they use variance (the second moment) and this is not c...
I know the basic working principle of sinusoidal oscillators. But I have a doubt on this matter when I came across Gram-Schmidt orthogonalization procedure. I have read that the source for sinusoid signal output from an oscillator is the noise. Due to controlled positive feedback a single frequency component is selecte...
We as a group are new to signal processing and speech recognition. We have stored .wav sounds of three different words and we are trying to record a new .wav sound and have the system compare the sound to these three pre-recorded sounds to see which one correlates the most to the newly generated sound. We have altered ...
Is there a rule of thumb for how many coefficients to choose for a fractional delay filter? I figure there might be a trade off based on the signal frequency as well as my sample rate (this is running on an FPGA), but I can't seem to find a good rule of thumb.
How would you reliably detect scene transitions in a video? The simplest case wouldn't be too hard, but sometimes it might be a fast moving scene, or there might be an effect like lightning that would throw it off.
Let us say we have a signal $y(k)$ that is of length $K$. I can compute its PSD, also of length $K$. Let us say that this length was not good for finding peaks, so I computed a PSD that was of length $10 \ K$ instead, by doing a zero-padding in the time-domain. I understand that this is equivalent to interpolating the ...
In signal processing, when you sampling an analog signal, the sampling theory says that the sampling frequency needs to be at least twice the maximum frequency in the analog signal content. I understand that if the sampling frequency is smaller, then it can cause a data loss, but what if the sampling frequency will be...
I was reading a paper about finding optimal morlet wavelet function for CWT, and they were minimizing Shannon entropy. what is Shannon entropy and it uses? (specially on continuous wavelet transform)
I am doing research on images using gabor filter. I have read the following post: Apply a Gabor filter to an input image There must be some formula to determine the value for gamma,sigma,lambda,psi...can i know how to determine it?
I'm struggling to validate that my C++ implementation of a filter I designed in Matlab is correct. My first issue is to make sure I'm implementing the sections in the right order. This is the output of the SOS matrix from fdatool: 0.5961 -1.1815 0.5961 1.0000 -1.9792 0.9884 0.5793 -1.1475 0.5793 1....
I am trying to calculate shannon entropy of CWT. I am not sure if I am doing it right. Assume that $W(a_i,t), i=1;2;...;M$ is a set of wavelet coefficients. The Shannon wavelet entropy is calculated by: $E=-\sum_{i=1}^{M}d_i log(d_i)$ $\rightarrow$ where $d_i=\frac{|W(a_i,t)|}{\sum_{j=1}^{M}W(a_j,t)}$ I am confused ...
If I understand what LPC does, I think. It predicts the next sample by taking into account previous $p$ samples. I don't understand why it is useful in DPS and speech recognition. I also came across LPCC that can be derived from LPC and are related to sound frequency. I also find it hard to follow the idea why cepstrum...
I have been working on an assignment for university in which I have to compress an 80K message consisting of only two symbols, 'a' and 'b', having probability values of 0.6 and 0.4. I have successfully written my code in Matlab and it is working efficiently for 10-20 symbols. However when I pass my 80k symbol message t...
I was making a plot to show side lobes for different spectral windows and I noticed if I take a simple fft of a rectangle window, I don't see any side lobes. I think I'm just making a simple mistake. Here is the Python code I ran: from matplotlib import pyplot as plt import numpy as np fAxis = np.linspace(-1/2,1/2,100)...
I have written a bit of code to upsample and interpolate a sample waveform in MATLAB. It's at the point where I have taken a signal, upsampled it 2x and filled in the gaps with 0's, and then I found the fourier series coefficients. I know I need to choose which coefficients to multiply by 0 and which to multiply by 1 i...
i have to implement a function in matlab,for labeling silenced,voiced and unvoiced frames in signal. I mean i want to specify each frame as a voiced or unvoiced or silenced frame by using pitch frequency and zero processing rate and energy. how can i calculate pitch frequency? where should i start from? Thanks
I would like to compute the minimum sampling frequency for the signal $x(t)$ given below: $x(t)= sinc ^3(300t) * sinc ^5(600t)$ and $ *$ stands for convolution. where the sinc function is defined as $sinc (w t) = sin (\pi wt)/(\pi wt)$. I have tried like this : $sinc^3(300t)$ will correspond convolution of 3 rectang...
I am trying to make a spectrogram viewer without using the spectrogram command. For this purpose, I used a sin function. I broke up the input signal into 256 segments, multiplied each segment with the Hamming window, took the FFT of each slice and then stored them to obtain spectra of the signal. My problem is that I ...
I am a little unsure about the generation of a additive white Gaussian noise, so I would appreciate to hear from you if I`m doing it correctly. My goal is to generate the time-domain noise correspondent to a noise floor of -135 dbm/Hz The procedure I`m adopting is the following: 1 - Convert the noise floor in dbm/Hz to...
I have a question regarding an alternating pulse train signal, $p(t)$, and a system which looks like this: Immediately, I'm supposed to be able to extrapolate that $$ P_t = P_1(t)-P_1(t-\Delta) $$ How do you obtain this? How would you get the Fourier transform of this pulse train from there?
I need compare two signals. Signals have simliar shapes but completely different values (as on picture): So I think cross corelation in frequency domain should gave me a number that shows me how the signals are similar. But I have no idea how to do that in matlab. Where I can find code to do it?
Reference Second post on EdaBoard.com Time response of a system is the time evolution of the variables. In circuits, this would be the waveforms of voltage and current versus time. Natural response is the system's response to initial conditions with all external forces set to zero. In circuits, this would be the respo...
Does anyone know how to write arg min code in matlab with explanation? I am referring to a paper for my research. I am not sure whether I can paste the paper link here. At first, I try to do feature extraction of finger using Gabor Filter. According to the paper, after feature extraction level, I need to do the followi...
I am using IPP for FIR filtering over 1D data. I want to use the same input and filter it using two band pass filters. This is how I do it: output1 = doFIRBandPassFilter(input,low1,high1); output2 = doFIRBandPassFilter(input,low2,high2); I want to combine those outputs so that the end result will show BOTH (low1,high1...