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I recently started using image moments for image processing of binary images. I read that the $0^{th}$ order contour moment is the perimeter and the $0^{th}$ order area moment is the area. These raw moments are both given by: $M_{ij} = \sum_{x}\sum_{y}x^iy^j$. This means If I have an image like this (but binary, foregr...
Say I have a complex function $f^*$ (e.g. a MRI image) that has a near piece-wise constant magnitude, but a non constant phase. If I have an optimization problem to find $f^*$ and set up an objective function with a total variation term (e.g. for denoising or compressed sensing) it usually has the following form: $$ ...
I'm using an algorithm to detect interest points in an image and get their descriptor. The most recent algorithms use binary strings instead of float vectors to dramatically increase the performance because inserting those float vectors in a database and comparing them to whatever will suffer the curse of dimensionalit...
I need to decimate a signal by a factor of q. More specifically my signal is a 3D "image": $\ I(x_i,y_j,z_k)$, which I need to downsample by a factor of two in the z direction. I want to do lowpass filtering before decimation by convolving with a Gaussian kernel of size n. I create my Gaussian kernels 2 standard deviat...
I am using simulink and have got IQ samples from an RTL-2832 / E4000 usb dongle. I would like to learn how to decode an FM station to audio and attempt this project on simulink. How do I proceed with the IQ Samples towards decoding? Treat this a question from a DSP novice.
I've been reading some papers in the context of super resolution in imaging and video (for example works by Michal Irani: Improving Resolution by Image Registration, Space Time Super Resolution from a Single Video and so forth), and was wondering if a similar idea can be applied with improving the temporal resolution o...
I am currently working on a product (can't disclose too much details of the actual project) in which some data is being sent via audible (but on the higher freq) sound that is encoded with dqpsk. However, it gets very inaccurate at times since the receiver and the broadcaster do not have the same sampling windows. I am...
Lets say I have a program like Skype and I call to my friend. I want to create a test to figure out what is the average delay from the audio, from my mic to his speakers. I want to measure: delay in one instance of time delay over longer period (60 s) Assumptions that i can make: at least 8000 samples per second. ...
I'm trying to find the zero crossings of a sine wave to transform the sine wave into a square wave. The only problem is that the sine wave is noisy, so I'm getting lots of jitter and false zero crossings. Can anyone recommend any simple psuedocode or relevant materials? So far I have something like this: if (sample[i]...
I am having problems in understanding how to do it practically I have a wav file that contains pure speech and another ave file that just contains the background noise (can be various things, such as white noise, crowd noise, a recording of blowing wind, etc). These are either purely speech or purely noise. So I suppos...
I have got a signal which consists of zero crossings over discrete time and I would like to estimate the fundamental frequency (period) from this signal in order to remove noisy samples. The signal is about 500 to 1500 samples long and has about 10-50 zero crossings, e.g. x[93] = 0; x[183] = 0; x[244]; x[282]; x[310]; ...
Can you list some scale and rotational invariant feature descriptors for use in feature detection. The application is for the detection of cars and humans in video captured by a UAV, using a multi-class classifier. So far I have been looking at SIFT and MSER (which is affine invariant). I have also looked at LESH, LESH...
If you circularly shift a signal x[n]= [-3 -2 -1 0 1 2 3 2 1 0 -1 -2 ] to the right by M=1 compared to M=2, the phase spectra has a lot many zeros when M=2 compared to M=1. here, I am talking about Circular Time shifting. I know that if x[n] is even, then DFT is purely real and hence phase is zero. However, why are the...
I am trying to build a model for speaker identification, and I understand that the first step is to extract the features from the audio signals that are in my database. I have done quite a bit of research and cant find how to do this extraction and to which features. How do I select which features to extract to? what w...
I need to the find the inverse continuous time Fourier transform for unitary angular frequency of the following signal: $e^{a\omega^2 - b\omega + c}$ where $a$ and $b$ and $c$ are real numbers and I want to find the corresponding time-domain signal. I was able to get the $e^{a\omega^2 + c}$ term transformed, but I was ...
The challenge I'm looking at is to design an iPhone component that listens to microphone input and triggers when it hears a particular blip (preferably < 0.1sec duration). I can design the blip myself, and also false positives are okay. The key constraint is that the listener is lightweight, so it doesn't drain CPU. Ca...
I'm developing a singing game and I want to output player's voice through speakers. I'm using portaudio for that, I acquire the input signal and just write it to the output buffer. The problem is the voice is bare audible. I tried to write to output buffer multiplying by a constant but that distorted the voice. How wo...
This is more of a soft question, I am currently writing a paper for my Master's in Mathematics and my topic of choice has been to focus on the Mathematical techniques behind Spectrum Analysis. For my initial reading I have focused on Kay & Marple's paper Spectrum Analysis- A Modern Perspective, however "modern" in thi...
I am working on noise reduction and I need to learn how to analyze spectrograms I mixed a pure speech file with violet noise in audacity and got the following spectrograms: Matlab version Sonogram version: (enter link description here) Spectrogram view in Audacity: What do all the colours mean and why do they look d...
Possible Duplicate: Real Discrete Fourier Transform What is the most lucid, intuitive explanation for the various FTs - CFT, DFT, DTFT and the Fourier Series? Discrete-time Fourier transform I read about the Discrete Fourier Transform. I understand how to compute it given a sequence of numbers(digital signal), but ...
I have the following sourcecode. For all I know, it should be a Bessel LPF at 10Hz. Is there a way to get the sampling frequence out of this? double LPF(register double value) { static double buf[4]; register double tmp, fir, iir; tmp= buf[0]; memmove(buf, buf+1, 3*sizeof(double)); iir= val * 1.8656603...
I'm trying to synchronize (overlap) two audio recordings of the same song: a complete HQ version, and an incomplete, noisy version (phone recording for example). The noisy recording may have had its tempo increased/decreased. Currently I have something working based on this 2001 paper: "The Beat Spectrum: a New Approac...
Is there any method to find range of hsv values of image (object) in rectangle inside big image? I mean, there is fixed size rectangle on my image(frame from camera) and i want to find range of hsv values of object which is inside this rectangle. Object is changeable. If i put red ball inside rectangle it should find r...
Input: Cropped face or Non Cropped face images. Detailed explanation: My project is face authentication. I am using OpenCV face detector to crop face from images. I am using OpenCV implementation of LBP for face recognition. My face recognition system works good when the the test images are not much variant (illuminati...
Project: Red eye detection Description: I want to remove red-eye from images. I am not able to use face detector because, the faces in the images are not always frontal and also the images are of players with helmet. And the images may have many red eyes. Also, the lighting is not proper. I want to know how to detect t...
Project: Face Detection Description: I want to detect and crop a face in an image. The image is captured through webcam and only one face per image.I used OpenCV face detector, but I was not satisfied with the cropping. So, I started using STASM (http://www.milbo.users.sonic.net/stasm/) face landmark detector to crop t...
I have an image that looks like the one below: I'm trying to find the radius (or diameter) of the circle. I have tried using circular Hough transform (via matlab's imfindcircles(bw,[rmin rmax],'ObjectPolarity','bright')) , and by fitting to a circle or an ellipse (home made function that works pretty well for less noi...
Something related Here are the spectrogram plots: Matlab version: Audacity version: the darker parts towards the right of the figure show speech. Silence was added to the left of the figure in audacity. This silent portion does not show any thing in the spectrogram as plotted by audacity which is as expected. but the...
I am very new to this things. Sorry for probably stupid question. I don't understand what units and meaning have the values on Y-axis of Fourier Transform graph? On X-axis it is Frequency (Hz). Pretty clear. Can't find the meaning of Y. Here is the code in MATLAB I used to produce the graph, and the image of the output...
I have a large face database, and I want to search through it. For example, if I input a new face image, the system would return the best N similarities. I know that PCA, LDA, and Procrustes analysis are used for this, but it seems that I need to project all this large database into PCA space, and I don't know any libr...
When implementing the fft, you always include a bit reverse at the end of the process to put the data in the correct order. It seems to be because the fft proceeds by decimating the input array into odd/even sections (for radix-2 algorithms, for other algorithms e.g. prime factor you have to do a radix reverse), the fi...
I have read through many papers related to the Mel-frequency cepstrum coefficient (MFCC): I have some confusion about the MFCC process: Many of the papers say that I have to do a FT (Fourier Transform) on the log-spectrum to obtain cepstrum (as mentioned in Wikipedia : definition of power cepstrum) Many say I have to ...
I am currently making an analysis of a codec system that can encode up to 2 wave files into 1 file and decode it. Here is a simple illustration: L+R ---> ENC --->L'+R' with L'=L+∂1 & R'=R+∂2 The codec is not lossless and we are analyzing if there is any leakage from one source to another, some kind of crosstalk, if yo...
I have a dataset with two columns (width and length, both in milimeter). When I make a scatter plot (please refer to the first figure), I see location of defects in a plane. I want to find if the location of the defect has some kind of pattern or it is just a noise. For that I was suggested to use 2D fft to recognize p...
I recorded sounds using a plug in microphone on a Windows 7 laptop. I used the Windows Sound recorder to record the sounds. It was only one microphone, but when I load the sound file into Audacity, it loads 2 channels. This is to be expected, but the sound files are slightly different (subtracting them from each other ...
Follow up to question and comments posted here The SNR calculation method posted as answers were implemented in matlab Implementation of Deve's answer: % the starting and ending point of speech in samples obtain through Audacity; % select a portion of the waveform where speech is seen to be present begin_speech = 25400...
In the image analysis literature there are a variety of ways people show the usefulness of their method. For example, performance on an ideal signal corrupted by noise, an artificial signal encompassing a range of relevant structures, or real world images. What are some commonly used test image sets for the following m...
How do I estimate if in recorded sound samples is present an echo caused from walls reflection ? (maybe there are multiples echoes: delayed, attenuated versions of the signal itself). I'm recording several sound samples in my room and I suppose that in the recorded audio samples is present an echo image of the origina...
How do I add odd or even harmonics to a floating point signal? Do I have to use tanh or sin? What I'm trying to do is achieve some very simple distortion effects, but I'm having a hard time finding exact references. What I'd like is something similar to what the Culture Vulture does by adding odd and even harmonics in ...
I am dealing with a problem where I need to make a decision on a 500khz signal under 100usec. The signal is noisy and I am detecting a peak in the incoming signal. Currently I do a 7 step mean filter (down sample by 7) and a moving average of 8 taps following that. This delays my signal 56 samples roughly 112 usec. (2...
I read that SVM is a supervised learning method, it is also a non-probabilistic binary linear classifier. I understand why it is binary because it classifies our training pattern to two classes $w_1$ and $w_2$ which are labeled as $y_i=+ 1$ and $-1$. And I understand why it is linear because it classifies when the clas...
I have the moving-average mask as mask = [1 1 1; 1 1 1; 1 1 1]; and then I compute the convolution 3 times imageF = conv2(conv2(conv2(originalImage, mask), mask), mask); I want to know how can I get an equivalent mask to compute the filter with just one convolution imageF = conv2(originalImage, equivMask);
I read in my book (statistical pattern classification by Webb and Wiley) in the section about SVMs and linearly non-separable data: In many real-world practical problems there will be no linear boundary separating the classes and the problem of searching for an optimal separating hyperplane is meaningless. Even if...
I have an interlaced image and I like to make a deinterlaced image out of it. Currently I just take average of two rows to create the missing row. Is there a better way to do this? What is the state of the art? I don't have the previous or the next frames, just this one.
I know that HOG is pretty state of the art for person detection, but in its original form HOG is only a detection method, and I don't believe it is particularly fast either (there is a significant speedup which takes the sliding window and rejects unlikely possibilities early, but it has been patented). What is the cur...
Not sure if this is the proper place to ask this, but I'm sure someone here will know the answer. I have this optical camera (TrackIR 4), which, for what you can see on the table, samples images at a rate of 120 frames per second. Now how would you do a conversion from fps to Hertz to find out the frequency rate at whi...
I am hoping someone can explain how to use the bag of words model to perform image classification using SIFT/SURF/ORB features and a support vector machine? At the moment I can compute the SIFT feature vectors for an image, and have implemented a SVM, however am finding it hard to understand the literature on how use ...
I have a set of samples from a signal. The signal is erratic in behaviour at the beginning but then it settles down and oscillates around the value of 100 (the frequency of oscillation is not necessarily a constant). Having settled down, the signal also begins to decay ever so slightly. Given that I only have samples f...
I'm looking at a job spec, detailed below. I'm perplexed as to what is being asked for. Could someone offer a basic understanding of this material? I can imagine a solution may involve performing an FFT, setting bins outside the desired frequency range to 0, modifying phase of remaining bins, and recombining with i...
I am working on a pattern recognition problem to find two most similar rectangular regions in two given images. Specifically, I have two 2D (gray) images of the same sizes $I_A$ and $I_B$. Denote an arbitrary rectangular region in an image $I$ as $R^I(x_0,y_0,w,h)$, where $(x_0,y_0)$ denotes the upper left pixel of the...
During convolution on a signal, why do we need to flip the impulse response during the process?
I checked the earlier question on "How do I recover the signal from an ECG image" Currently I am trying to write a program to extract the x and y co-ordinates of an ECG signal embedded within the background grid . I was able to use the image from the earlier post and used some inbuilt functions to crop the image and c...
What is your best guess how Google Image Search works? I can upload a photo and can search for similar images. What algorithm does it use to identify similar images?
I am trying, for my own learning purposes, to develop an implementation of an algorithm that would list books, given an image of a bookshelf like the following: The first step is to slice the image into individual books. My algorithm, in Mathematica, is: img = ColorConvert[Import["https://i.stack.imgur.com/IaLQk....
I need to write a MATLAB function to estimate the best initial sampling point for demodulation of a 16-QAM. I can do it by looking at the eye diagram, the point which at which the eye is "open", but can this be done in MATLAB?
I read some articles about PCA and I think the nice way to summarize it is: It is a way of identifying patterns in data, and expressing the data in such a way as to highlight their similarities and differences. So in my code, we subtract the initial data from the mean and find principal components, then we multiply ...
I am trying to model a robot (my question in robotics.SE), so that I may train it using some reinforcement learning techniques. I was wondering if I can compute an impulse response of a four wheel robotic chassis empirically? Or something similar that might help me model the robot. Does a thing like 'the impulse respon...
I asked google and I've tried to find something in the API of OpenCV, but hadn't any good hints on split and merge image segmentation method. I want to test it, if it's working better than my proposed method which I posted a while ago here on SP. Do you know if there exists a free library or OpenCV extension for this ...
As hinted in this answer, Perceptual hashing is a way to ascribe comparable measures (hashes) to images (rectangular patches). The images do not need to be the same size, and can be slightly distorted, according to the answer. I might soon need a way to measurably describe image patches of different sizes, as well as i...
Consider a situation where I am listening to loud music in a room. If I move into another room and close the door (so music is now played in another room behind the closed doors), I will hear the bass component of the music much better than other components. I would like to know why the bass voice is more audible (can ...
If I have an image and its 2-D DFT of that image, what is the mapping between the value of the DFT at (u,v), and the frequency in the spatial domain in the x and y components, in cycles/pixel? I want to be able to say "There is a peak in the DFT at (u,v), which corresponds to this frequency". I don't think the answer i...
I'm developing a project that identifies Phonemes to be able to identify whether someone is saying either "Yes" or "No". So far in the project, I have used Zero-crossings to identify what the person is saying, this works really well and seems simple enough to understand. The project, however, needs a few enhancements ...
I'm working with a grey-scale data-collection of Hebraic tombstones in content-based image retrieval CBIR). For example an image like this tombstone. I'm going to reduce the content of the image to the centered tombstone. And after some other processing steps I'm trying to find a suitable representation of this image t...
I have a major question. Please take a look. I have this differential equation (DE): $$ \frac{d^2y(t)}{dt} +\frac{dy(t)}{dt} +4y(t)= \frac{dx(t)}{dt} +2x(t) $$ And I have to find impulse response (IR) and frequency response (FR). We can "translate" the given DE into: $$ Y(\omega)(j\omega)^2 + Y(\omega)5(j\omega) + 4Y(...
I am generating a simple musical instrument using a ST board. basically I have a sensor which detects motion or spatial angle and generates sounds of differnt pitch and volume depending on the angle. I already have the driver for the audio codec so all I need to do is to generate sound samples and feed the samples to i...
i have obtained some skin detection map (i post below two example of detection map). but, i'm using a normal webcam and the map is noisy. Not a lot, just a bit. I think i can remove noise only with some combination of dilate and erode, and then threshold it. But, like a stupid child, i have spent hours in trying to set...
How can I find the Fourier transform of $$ f(x) = ( \cos(x) )^3$$ I know that for $ g(x) = \cos(x) $ $$\mathcal F \Big\{ g(x) \Big\} = \mathcal F \Big\{ \cos(x) \Big\} = \pi \Big [ \delta(w-\pi / 2) + \delta(w+\pi / 2) \Big ]$$ But using this pair of Fourier transform how to obtain the $ F \Big\{ f(x) \Big\} $ ?? Is th...
Is the identification of each point on the constellation diagram arbitrary as long as the sender and receiver know the mapping? I have seen some diagrams which order in an outward spiral, while others go left to right. Does it matter?
I have the following mask where the origin is marked in bold text $$ \left[ \frac{-1}{4}~~~{\bf\frac{1}{2}}~~~\frac{-1}{4} \right ] $$ After computing the DFT, the result is: $$ \frac{1}{2} - \frac{1}{2} \cos(\omega)$$ How can I know what type of filter is it? All-pass, Low-pass, Band-pass, High-pass, Band-cut or All-c...
I have a camera matrix (I know both intrinsic and extrinsic parameters) known for image of size HxW. (I use this matrix for some calculations I need). I want to use a smaller image, say: $\frac{H}{2}\times \frac{W}{2}$ (half the original). What changes do I need to make to the matrix, in order to keep the same relation...
I have developed an algorithm that counts the number of times a particular block (within a 2D block) crosses zero. Here's an example: B1 = { 1, 4, -1, -3, 0.12, -2.3 } The answer would there for be 3. To do this, what I do is: Find the signum value of each element within the block (will return...
After some questioning on stackoverflow, I tried to implement a Goertzel algorithm in Python. But it doesn't work : https://gist.github.com/4128537 import math def goertzel(samples, sample_rate, f_start, f_end): """ Implementation of the Goertzel algorithm, useful for calculating individual terms of a disc...
Project: Content Based Image Retrieval - Semi-supervised (manual tagging is done on images while training) Description I have 1000000 images in the database. The training is manual (supervised) - title and tags are provided for each image. Example: coke.jpg Title : Coke Tags : Coke, Can Using the images and tags, I hav...
cvInRangeS method for HSV colorspace is used like: cvInRangeS(imgHSV, cvScalar( hMin,sMin,vMin),cvScalar(hMax,sMax, vMax),imgThresh); For hue value we generally use a range between two numbers, a pair of small and big one like $(10-50)$, which means $10,11,12...48,49,50$ . Sometimes I need to use a reverse range for r...
So I'm trying to understand how MRI machines work. I understand all the concepts of it, the parts, what they do, how the machine works, etc. The part I'm having trouble with is the fourier transform business. In the MRI machine, when the hydrogen atoms release the radio frequencies previously absorbed, the transceiver...
When synthesizing and processing audio on modern processors, when would one consider using something other than single precision (32 bit) floating point? Obviously, the audio coming in and going out to the real world is 16/24 bit, so I'm just talking about the precision of the signals (both the audio itself and things ...
According to Wikipedia human whistling is a pure sine wave. If that is true and if a human is whistling and produces a rhythm like any song, is he still producing a pure sine wave? For example, if I am producing a tone of any music through my whistle would it still be a pure single harmonic sinusoidal wave?
I use the following formula for DoG: $$\frac{1}{\sigma} (\frac{x^2}{2\sigma^2}-1.0) e^{\frac{-x^2}{2\sigma^2}}$$ What is the relationship between this formula and the difference of two Gaussian functions? Can someone show me how to apply DoG on a 1D signal in MATLAB? My input can be considered as a 1D real-valued funct...
I want to use waverec to evaluate a linear combination of the scaled and shifted wavelet of the form $$ \sum_{i=1}^n\sum_{j=0}^{2^n-1}d_{nj} 2^{-n}\psi_{ij} (\frac{t-j}{2^n}) +c_{00}\phi(t) $$ at $t=k2^{-n} $ for $k=0\dots2^{n}-1$. I know how do it for the Haar wavelet, namely [c,l]=wavedec(zeros(1,8),3,'haar') waver...
I'm very new to digital signal processing, I've been reading a text book to try to figure out this assignment at work (avionics related). I'm supposed to implement a two-pole low-pass filter with a fixed cutoff frequency (of 0.02Hz) I'm not sure if my current output is correct, given my understanding of how low pass f...
I have a periodic signal generated by accelerometer sensor and I need to count the number of peaks. However, I can't predict when the periodic sequence starts and ends. What would be the best way to do this if expected frequency of the useful signal is between 0.2Hz - 5Hz? Here is the example of the signal - five squa...
I am doing a project on ECG arrythmia analysis using matlab. I have designed notch filter for removing 50 Hz noise but don't know how to add a 50 Hz powerline interference noise to a clean ECG signal? Also, I want to check whether noise is reduced in the filtered signal. Will Power spectral density using modified wel...
I have executed an FFT on a .wav file of a person saying "ahhh" which shows the frequency and amplitude of the audio file. When I run it on a .wav file it shows the frequency 0 Hz as having the highest amplitude. I'm not sure where the problem is within my code and how I can fix it. How does 0 Hz have the max ampli...
I have been stuck on this question for a while now. It has to do with vestigial sideband. I wasn't sure if I should be dividing $H(\omega)$ graph values by 2 because only the positive side of the filter is given.... The answer that I am getting is: We know that $VSB(t) = A_c f(t)\cos(\omega_c t) \ast h(t)$ then in fr...
I am trying to implement a Acoustic Echo cancellation algorithm in Java for a VoIP system. This AEC will help to cancel the echo (coming from Speaker) in microphone input at the same PC. The sound frequency is 16 kHz mono and 16 bits PCM frame. At first I tested my codes with artificial sound stream. I use a sound file...
I have just started doing image processing, and I am currently working on line detection. I am using Hough transform on the image below. I'm wondering how I can improve the efficiency of the Hough transform? Before applying the transform what can be done (pre-processes) to improve the performance?
I know you can calculate homographies from image to camera plane using correspondence points between a "perfect model" and the image points. I'm doing it for a football pitch/field, and have used edge detection to find the white lines in the pitch. But the camera does not (always) cover all of the pitch, so I can't see...
I have a set of images representing the mean curvature of a human back surface. What I want to do is to "scan" the image for points which have similar, reflected "counterparts" in some other part of the image (most likely symmetrical to the midline, but not necessarily since there might be deformities). Some image-stit...
I am trying to construct a Hidden Markov Model to predict the next state to go to. I am doing an example system, or, a test system that contains the following: Ok so the training I have used is: training = "HTTHTTTHHTTHTTTHHTTHTTTHHTTHTTTHHTTHTTTHHTTHTTTHHTTHTTTHHTTHTTTH" and the test case is: "HTHTTHTHTTHTHTHTHTTHHTH...
If a note has a fundamental frequency of 100Hz, then its second harmonic is located at 200Hz and its tenth harmonic is located at 1000Hz. But for acoustic instruments, the harmonics will not occur at exact multiples of the fundamental. My question is, how much error is typical and what is the relationship between the d...
I know that zero shifting in the autocorrelation function is equal to its energy, yet, I would like to understand why the peak is at zero.
I don't know much about filter design. After reading a few articles on wikipedia I am playing with filter design and I see something weird and would like some help in understanding what exactly is going on here. So I have a signal measured uniformly in time (every 30 seconds) with 1006 measurements in total and I want ...
I have the following discrete system's transfer function (Z domain): $$h[z] = {z \over z - \frac{1}{2} }$$ I need to obtain the following: The frequency response. The impulse response. The fourier spectre. The first one is pretty easy we just substitute $z$ by $ e^{j \omega}$ giving us $$h[\Omega] = { e^{j \omega} \...
I've got a question related to a comparison of image segmentation algorithms. I'd like to compare two algorithm results to each other in step one. In another step I'd like to compare the two algorithms results against a few ground truth segmented images. Unfortunately I got only a few ground truth data results in form ...
I have been researching about Speech Recognition and I have decided to take the MFCC approach to solving this problem of detecting whether someone is saying either "Yes" or "No". So as mentioned before (My steps so far): Read in Audio File Split the Audio Signal into blocks (600 samples, 30msec long) Strip the blocks ...
I am trying to ascertain what the 'ideal' FIR filter length should be, given the pulse length $T_p$ of a windowed sinusoid in noise that I seek to filter. As parameters into an FIR filter that I design, I have: $F_c = 15 \text{ kHz}$, The center frequency. (This is the carrier frequency of the signal). I know this. ...
I have a Bachelor of Science in Electrical Engineering, concentrating in VLSI, and I am currently in the process of switching fields to go into Physics. I love physics, and mathematics. I like pretty problems that need subtle insight to solve, which is why I'm moving from engineering to physics. Even though the prettin...
I am studying some deconvolution techniques, In order to remove motion blur, like: Richardson-Lucy Wiener Are there any pros / cons of using one versus another? For example which are the pros / cons of Richardson-Lucy technique?
I've got a situation where I'd like to use an FFT to do interpolation in time on some complex data (I need to go to the frequency domain anyways to window my data). The notional way of doing this is to take an FFT, which, in the case of something like FFTW will put the frequency components "in-order" which can be vie...
I'm trying to figure out what the Signal to Quantized Noise Ratio (SQNR) is if I multiply 2 16-bit signed integer values and store the result as a 16-bit signed integer, dropping the least significant bits. Since this is signed multiplication, I'm dropping 15 bits of precision. For example: a (16 bit signed) * b (16 bi...