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I have this extremely distorted and stained image Is it possible to remove this stain ? Could image inpainting help ? Please help EDIT : Another image After applying anisotropic diffusion and representing image with imagesc(MATLAB) I tried inpainting however the result isn't good enough Is there anyway i could im...
When you perform the Haar wavelet transform, you take the sums and differences, then at each stage, you multiply the entire signal by $\small\sqrt2$. When taking the inverse transform, you multiply the signal by $\frac{1}{\sqrt2}$ for each iteration. What does this "normalization" really represent?
I am using matlab to study digital signalling and have come across a problem which i was wondering if anyone with more experience could help me with. I need to work derive the Fourier series of a triangle wave that i have generated, I just do not know how to actually go about this problem in Matlab. I am generating a 1...
I have an image source emitting yellow light. Of course, when taking a picture with the light, the image has yellowness overall. How can I remove that color of light from the image? I have another picture of only background with the yellow light. Is there any way to subtract the image from the former one? Thanks
I am having a hard time understanding how to calculate the data rate when leveraging chroma-subsampling in e.g. a Y'UV image: I have the following examples for a calculation: Image resolution: 352*288 Frequency: 25 fps For (4:4:4) the example calculation goes as follows: (352px * 288px) * 3 color channels * 25 fps * ...
I am currently working on learning DSP and for my course we use Matlab. I have been tasked with designing a low-pass filter using SPTool with the following specification: A Low-Pass Kaiser Window FIR filter with a cut-off at 200hz. Now, when i open the SPTool and choose "new" i get the filter design and analysis wind...
I'm trying to implement a simple steganography algorithm (similar to JSteg algorithm) for hiding data in LSB of DCT coefficients in Matlab, and I ran into a problem. a. I apply DCT. b. modify LSB of coefficients different than 1 and 0 except the first c. apply inverse dct Now I have to save the result block to the out...
I have started with Matlab and Digital Image Processing. I am trying to do Fingerprint recognition. I found many research papers regarding this but I am unsure where to start. Concisely, what is the most basic approach/algorithm for doing fingerprint recognition ?
So I'm trying to decide whether the cosine part is intended to be plugged in for $z$ or whether it is strictly part of $h[n]$. (the number a lies in the open unit disk) I mean I was pretty sure it was all part of $h[n]$ but then upon performing the z-transform I get this rational function $$\frac{1 - a\cos(2\pi\frac{...
On pages 57-60 (preview was available last I checked, images here in case), there is a quincunx lattice transform described. Lattice: o • o • o • o • • o • o • o • o o • o • o • o • • o • o • o • o o • o • o • o • • o • o • o • o o • o • o • o • • o • o • o • o Basically you do these Predict operations on the black po...
Tables of common Discrete-Time Fourier Transform pairs list the transform of a sine wave: $ \sin(\omega_0\ n) $ and its transform: $ -j\pi\ [d( \omega\ - \omega_0\ ) - d( \omega\ + \omega_0\ )] $ And the cosine: $ \cos(\omega_0\ n) $ and its transform: $ \pi\ [d( \omega\ - \omega_0\ ) + d( \omega\ + \omega_0\ )] $ Ho...
Statement : BY 1D Discrete Fourier transform, obtaining its spectrum and using first few components of spectrum to describe $g(r)$ , where $g(r)$ is probably of pixel values $r$. My question : Does spectrum get effect by increasing or decreasing of fourier co-efficient ? I understand the Fourier Co-efficient help...
I would like to obtain a good reference (or references) on the implementation of a wideband beamformer for a small planar (rectangular) array comprised of 4 rows by 6 columns, for 24 elements in total. This is a passive acoustic array with air-coupled microphones; the array does not transmit. Each element in the arra...
How to segment this image using watershed to retrieve only the people in the image ? I have done the following so far : Calculated a gradient Calculated the watershed transform My code: clear; I=imread('inpaint.jpg'); I=rgb2gray(I); hy = fspecial('sobel'); hx = hy'; Iy = imfilter(double(I), hy, 'replicate');...
So I think I have the answer I just want to make sure I'm doing things correctly. Let a be in the open unit disk, $F_s > 0$, and $0<f_0 < \frac{F_s}{2}$. Let $h[n]=0$ for $n < 0$ and $h[n] = a^n\cos(2\pi\frac{n}{F_s}f_0)$ for $n \geq 0$ be the impulse response of an LTI system. What is the output for the input sequenc...
I have a 3D binary image that I must fill all of the holes in the image. "Fill holes 3D" in this case, is basically a 3D version of BW2 = imfill(BW,'holes') from MatLab, but I am not focusing on Matlab here. I am focusing on the algorithm in general. Currently, I simply perform a "flood fill 3D" algorithm on all voxe...
I want to find a convolution matrix for a certain 2D kernel $ H $. For example, for image Img of size $ m \times n $ , I want (in MATALB): T * Img = reshape(conv2(Img, H, 'same'), [], 1); Where T is the convolution matrix and same means the Convolution Shape (Output Size) matched the input size. Theoretically, H shoul...
I am having trouble grasping some of the fundamental concepts of multirate filtering. I see from various sources that the basic building blocks of a multirate filter are the dyadic analysis and synthesis blocks. Question 1: The analysis block structure looks like the following, where the wide band signal is split int...
For exponential signals (sine or cosine), if the sampling frequency $f_s$ is equal to the length of signal, $N$, the magnitude of psd for each sine signal is proportional to amplitude in time domain, while if $f_s$ is not equal to length of signal $N$, for example here, $f_s=1000 \text{Hz}$, the magnitude of sine signa...
What is the $\mathcal Z$-transform of the sequence $J_0(\alpha n)$ for $n \in \mathbb{Z}$? The Fourier transform of zero$^{\rm th}$ order Bessel function $J_0(\alpha x)$ is known to be $\frac{2}{\sqrt{\alpha^2 - \omega^2}}$ for $|\omega| < \alpha$. This has a pole at $\omega = \alpha$. Does this imply that the $\math...
I have a question concerning object recognition, especially recognizing car-models! I am at the beginning of a work about identifying the same car-model in different images. At the moment I think one of the best algorithm for 3D object recognition is SIFT but after playing around a bit with a demo implementation I have...
I have a signal in a 1d vector X, and I need to remove 50Hz and its resonant frequencies. I've looked into using fdesign.comb but I'm not sure how to apply that filter on my data (after building it using design). Alternatively, I think I can also do this using iircomb but again, I'm not sure how to exactly. If someone...
I have $n$ discrete samples of a seismic signal $y[n]$: I want to find local maxima in the signal. A naive test for if $y[n]$ is a maximum would be: $$y[n]: maxima \textbf{ if } y[n] > y[n-1] \textbf{ and } y[n] > y[n+1]$$ However the maxima are probably located in between samples, e.g. there may be a maximum at $i=4...
I inherited the following FFT code to get the magnitude frequency response of a sample window. I understand what fft() does. What I don't understand are the lines marked with a "???". What do they do? In particular the "real[i]/real.length/2" portion and the multiplication and division by 1000 portion. double[] real = ...
I wrote a simple MFCC routine, using all the steps usually suggested in the literature with the exception of the pre-emphasis stage. How important is this stage? Also, some authors suggest that using rectangular windows instead of triangular doesn't degrade MFCC performance (as long as the windows are overlapping) so ...
I'd like to apply a Kalman filter, using Octave, to financial data but due to the nature of the data it will be difficult to impossible to specific the process error in advance of applying the filter. Can anyone suggest a way to specify the process error online from the incoming data simultaneously with the calculation...
I'm trying to write a C++ function that will return Gaussian random values, given their means and variances. There is a library function rand(), which returns random numbers between 0 and RAND_MAX. RAND_MAX does not have a fixed value, but it is guarantied that it will be at least $2^{15}-1$. Its PDF is uniform. I'm us...
I'm on a project of liver tumor segmentation and classification. I used Region Growing and FCM for liver and tumor segmentation respectively. Then, I used Gray Level Co-occurence matrix for texture feature extraction. I have to use Support Vector Machine for Classification. But I don't know how to normalize the feature...
Let us assume that we have a narrowband signal $s[n]$, at frequency $f_1$, and let us further assume that this $f_1$ is just below $\frac{f_s}{2}$, where $f_s$ is the sampling rate. Furthermore, let us also assume that we have a fixed number of time-domain samples of this signal, $N$, and that our FFT length is also $...
I am new to Signal processing and want to implement for the measured curve from my experiment. I have a measured curve (like skewed gaussian). I like to change that measured curve to be as close as possible to the target curve (gaussian) (statistically and visually). Visually means, the target curve's width is abit lon...
I'm looking at the definition of signal energy (e.g. Wikipedia, cnx.org). For discrete signals, it's defined like the following, where $x(n)$ holds the signal: $ Energy = \sum_{n=-\infty}^{\infty} |x(n)|^2 $ So my questions: For a windowed, finite signal like double signal[256], the sum is from 1 to 256 (or 0 to 255...
I'm trying to plot the phase of this signal $s(f)=A^2T^2sinc^2(Tf)e^{-(j\pi Tf)}$ How can I plot manually this signal?I have to follow some particular rules?I have problems with the delay. Edit After calculation I found that the phase for this signal is: $\phi(s(f))=-\pi Tf$ it should be this the plot. Right or not? I ...
Let's say I have the very same signal stored in 2 .wav files. And lets say I process each file using a function, and it is established that one file is 20 phons larger than the other. Lets ignore how that function calculates this. Does this mean that one file is approximately 4 times louder than the other? What formu...
I'm looking for an image-processing algorithm that uses interpolation (polynomial, spline, doesn't matter). I have to implement such algorithm to process a bitmap for my labs. It can't be image resizing, it must be something else. Could you give me some proposals? I've tried on wikipedia and google, but it's hard to f...
Background: I'm working on an iPhone application (alluded to in several other posts) that "listens to" snoring/breathing while one is asleep and determines if there are signs of sleep apnea (as a pre-screen for "sleep lab" testing). The application principally employs "spectral difference" to detect snores/breaths, a...
I have a seismic signal y(i): Here I have found one maximum: i=152.54, y=222.29 manually and plotted it in red. I want to find all maxima automatically. I read that the Savitzky Golay Filter (SGF) can be used to find smoothed estimates of both a signal and its derivatives, and that one of the benefits of the SGF is th...
The easiest way to smooth a signal is by moving window average. A more advanced way is to use a Savitzky-Golay filter. From wikipedia: The main advantage of this approach is that it tends to preserve features of the distribution such as relative maxima, minima and width, which are usually 'flattened' by other adj...
With OpenCV, I compute the homography between, say, these two images: and Don't worry about the strange white form on the right side, it is due to the smartphone holder I use. The homography, given by findHomography() function (using points detected with the Fast feature detector and the HammingLUT descriptor matcher...
The traditional Discrete Fourier Transform (DFT) and its cousin, the FFT, produce bins that are spaced equally. In other words, you get something like the first 10 hertz in the first bin, 10.1 through 20 in the second, etc. However, I need something a little different. I want the range of frequency covered by each bin ...
I'm trying to implement a singing game that will analise raw mic input and tell the player how good is he singing. That needs to be done in real-time. I've come across a lot of threads asking the same question but I'm still quite not done with it, probably due to my lack of experience in the field and shallow math bac...
sorry for the long post but I want to try and get all the details in here in hopes it will help. I've been working on building a procedural audio system for use in XNA projects. First this is general structure of the procedural system. WaveFragments: generate the actual wave forms for a specified duration, based on fre...
At work we were smoothing a signal by convolving with either f1=[0.2000 0.2000 0.2000 0.2000 0.2000] or f2=[0.1111 0.2222 0.3333 0.2222 0.1111]. A colleague noticed that f1 smoothed "stronger" than f2 and suggested a new filter: f3=[0.2727 0.1818 0.0909 0.1818 0.2727] His reasoning was that this should smooth even ...
I'm working with data that looks something like this: sec Hz amp 0.0 2630 0.001 0.1 2340 0.1 0.2 2220 1.0 0.3 2200 0.7 0.4 2200 0.2 0.5 2200 0.01 sec Hz amp 1.0 463 0.001 1.1 534 0.1 1.2 440 0.4 1.3 440 0.7 1.4 440 0.2 1.5 440 0.01 This data is for two separate harmonics. You can see that the frequency drifts a littl...
Heads up, this is homework. Just a little stumped :) I have some arbitrary primaries, A, B, C, which I want to express in terms of the standard XYZ primaries. I have that the tristimulus values with respect to the ABC primaries for some random colour R is defined by some linear matrix equation: $\begin{bmatrix} R_a ...
my poblem is that i have a database for human dorsal hand veins ,but with intra-class variations , so this problem have a large effect on my results when i need to do matching between my samples for recognition purpose(testing phase after finishing trainning phase ) . therefore , i need to know what are the possible so...
I am new to OpenCV and DSP. I want to code a filter which act like a real optical filter. When you filter the image, the output looks like shotted with a $550nm$ optical filter lens. Like a Bandpass filter for image. I wanna filter all lights below $550nm $ wavelength. Is it possible with OpenCV? How can Ii do that? Fi...
Is there a way to compare 2 audio files, whereby a percentage of difference will be returned? I am using C# VS08, .net framework 3.5. Edited: difference in the sound (like for eg. Audio 1: "HELP", Audio 2:"HELP ME PLEASE", it will return the difference in percentage between this 2 audio.) I am currently saving recorde...
I would like to be able to quickly determine whether a given 2D kernel of integer coefficients is separable into two 1D kernels with integer coefficients. E.g. 2 3 2 4 6 4 2 3 2 is separable into 2 3 2 and 1 2 1 The actual test for separability seems to be fairly straightforward using integer ...
I'm finding in trouble trying to resolve this exercise. I have to calculate the convolution of this signal: $$y(t)=e^{-kt}u(t)\frac{\sin\left(\dfrac{{\pi}t}{10}\right)}{({\pi}t)} $$ where $u(t)$ is Heavyside function well I applied the formula that says that the convolution of these two signal is equal to $$Y(f)=X(f)\c...
I need to apply low-pass filter to PCM files. There are several methods such as FIR filters, IIR (butterworth-chebyshev..) filters but it seems to me applying Fast Fourier transform and eliminating higher frequencies is the closest way to an ideal filter. What is the fastest and closest to ideal filtering method? It is...
I have a calibrated camera and have the intrinsic parameters. I also have the extrinsic parameters relative to a point (the world origin) on a planar surface in the real world. This point I have set as the origin in the real world coordinates [0,0,0] with a normal of [0,0,1]. From these extrinsic parameters I can work ...
I'm working with code found at Rosetta Code for creating a Hough transform. I now want to find all the lines in an image. To do so I need the ρ and θ values of each of the peaks in the Hough space. A sample output for a pentagon looks like this: How can I find a single [θ,ρ] coordinate for each of the 'hot spots' visi...
In the image shown below, I have a 2D data set where I have identified four clusters labeled [0,1,2,3]. I'm looking for an algorithm to place the labels in a natural* way for each shape. My first guess was to place them in the "center-of-mass" of the cluster, which is shown below. For contiguous clusters this works fin...
I detect points in images with an algorithm. The only parameter is a threshold T that I can modify at each image. Such images are from a continuous video, so each one is only slightly different from the previous one. I don't know a priori how many points I get for a determined threshold, as it also depends on the conte...
I need to detect how fast a camera is panning (either horizontal/vertical) to give a warning to the operator to slow down. The entire image is moving as a block, I don't need an actual direction (although H or V would be a bonus) and I only need an approximate magnitude - ie. trigger if more than 'N' pixels shift betwe...
I read a paper about a brain-computer interface. In this paper the authors reported "each signal has been filtered with an 8-order band-pass Chebishev Type I filter which cut-off frequencies are 0.1 and 10 Hz and has been decimated according to the high cut-off frequency". I tried to design this filter with scipy: impo...
I have a scanned PDF material to which I want to add hidden text layer, so I could index the document. I used ghostscript black and white tiff output device (tiffg4) to extract pages as tiff images, and here is example of what they look like: Processing this image with tesseract, does not give good results. Changing g...
Which is the maximum frequency of a speaker of any common mobile phone? I would like to use sound to repel some animals, so I need playback sampling rate to be above 44100 Hz.
I have to represent a low-pass filter in the Fourier domain having a cut-off frequency of $f_c={3}\ kHz$. Could all low-pass filters could be represented with this function: $H(f)=\frac{1}{1+j\left(\frac{f}{f_c}\right)}$? If so, my filter could be represented with this function: $H(f)=\frac{1}{1+j\left(\frac{f}{3*10^...
Doing time domain processing of incoming audio. I sample the power level every 0.25s and keeping a running average of intensity over 5 samples. When the power level of the current sample is 10dB greater than the moving average, we start recording. What are the correct names for these numbers? I also use the same method...
I want to write a MATLAB program for simple object recognition using bag of features. In short, I want to first extract the features from an image, create a visual library using those features, then cluster up the features belonging to one part together, hence creating different parts. now use these parts for matching....
I am writing an algorithm that process 3D images based on the local moment of inertia. I have a 3x3 real symmetric matrix, from which I need to find the eigenvalues. I have found a variety of generic algorithm for the diagonalization of matrices out there, but I could not get to know if there exists an analytical expr...
I'm trying to calculate an autocorrelation on a platform where the only accelerated primitive I have available is the (I)FFT. I'm having a problem though. I prototyped it in MATLAB. I am, however, slightly confused. I assumed that it works simply as follows (this is from memory so apologies if I've got it slightly wron...
I am writing software for processing audio given as 16-bit PCM samples. The first stage of the processing involves calculating the energy (or total variation) in a certain frequency range (above a certain cut-off frequency). What I am currently doing is subtracting the energy of the low-pass filtered signal from the e...
I have a binarized image to which i add noise and then try to filter out the noise using various thresholding algorithms such as otsu and niblack.How can i compare the resultant image with the original image so as to find the percentage error that exists between the two?? the original image is as such: and the resul...
In Statistica gain is defined as follows: Gain. The gain value is computed by dividing the cross-amplitude value by the spectrum density estimates for one of the two series in the analysis. Consequently, two gain values are computed, which can be interpreted as the standard least squares regression coefficients ...
I'm trying to implement various binarization algorithms to the image shown: Here's the code: clc; clear; x=imread('n2.jpg'); %load original image % Now we resize the images so that computational work becomes easier later onwards for us. size(x); x=imresize(x,[500 800]); figure; imshow(x); title('original ima...
I have made a python code to smoothen a given signal using the Weierstrass transform, which is basically the convolution of a normalised gaussian with a signal. The code is as follows: #Importing relevant libraries from __future__ import division from scipy.signal import fftconvolve import numpy as np def s...
I'm writing an algorithm that analyzes results of discrete Fourier transform (DFT). The algorithm should detect amplitude peaks in predefined ranges of frequencies. This is an example of such a peak: Vertical red lines are range boundaries (left and right) and range center (middle). What are the best criteria for dete...
I'm trying to figure out how exactly an auto correlation corresponds to a time domain signal. Now I'm trying to find pitch periods in an audio file and 99% of the time I'm getting it spot on. Unfortunately however that 1% of the time is throwing me some annoying issues. Now at present I scan through my window for the ...
I have images for 99 person for each person i have 5 images . i have this function [similarity] = ssim(img1, img2, K, window, L);where K,window ,L are previously determined with their values. now , i need to use this function to measure intra-class similarities and inter-class similarities . i mean i need to measure t...
I have recorded 2 signals from an oscope. They look like this: I want to measure the time delay between them in Matlab. Each signal has 2000 samples with a sampling frequency of 2001000.5. The data is in a csv file. This is what I have so far. I erased the time data out of the csv file so that only the voltage leve...
For illustrating the effects of shot noise (more precisely, emitter failure in fluorescence imaging) I am looking for a good example image. The image should ideally be easily misinterpreted, especially by non-aided human analysts, when a fair amount of shot noise is applied to it. Does anyone know of such an image?
Let's say that my receiver will be receiving known data signals that range from the very simple (tone) to the complex (known data sequence that is modulated (PSK/QAM/OFDM/etc.)). What are the most computationally efficient ways to get a reasonably accurate estimate of the frequency offset?
I'm trying to get a Hough transform to work in MATLAB, but I'm having problems. I have a really bad way of detecting peaks that needs to be fixed, but before that I need to be able to reverse the hough transform to create the lines again properly. This is the type of stuff I'm getting right now: looks like its rotated...
I've been playing around with making images better and removing all the unwanted disturbances from it. I found out a major concern would be removing the unwanted reflections that might come. I've gone through a paper that uses ICA to get rid of these reflections. What other methods would work? Say I have an image: A...
Given only observations of a binary signal perturbed by Gaussian noise with unknown prior information, how can I estimate the optimal decision threshold? ( No, this is not a homework question) Specifically, I am think about the following model: $Y$ is a two-state $(H_0,H_1)$ Random variable : $P(Y|H_0) \sim \mathcal N...
This is a follow-up question of How do I apply a Chebishev filter? I designed a filter in Scipy: import scipy.signal as signal fs = 240 signal.cheby1(8, 0.05, [0.1/(fs/2), 10.0/(fs/2)],btype='band', analog=0, output='ba') /usr/lib/python2.7/dist-packages/scipy/signal/filter_design.py:268: BadCoefficients: Badly conditi...
Define a 1-periodic function on $\mathbb{R}$ by: $f(x) :=$ $\left\{\begin{matrix} 1 & if & 0<x<\frac{1}{10}\\ 0 & if & \frac{1}{10}<x<1 \end{matrix}\right.$ with Fourier series $f(x) = \sum_{-\infty}^{\infty}c_k e^{2\pi ikx}$. I'm trying to find the graphs of the following two Fourier series: $\sum_{-\infty}^{\inf...
How intuitively to understand why eigenvectors of the autocorrelation matrix are used, but eigenvectors of the matrix constructed from temporal samples have no sense and aren't used? For example, in detection of a harmonious signal in additive noise.
I am looking for a low MIPS, low compression video encoder. This is for a 10fps, VGA type quality compression. What are my options? I need to be able to do this compression using a 150MHz ARM M4 CPU with Floating point support. (STM32F4).. My idea is to push this compressed data out of the CPU with a parallel bus, ther...
I am using RANSAC algorithm for homography estimation between pairs of images taken with cameras which do not have any translation between them (pure rotation and change of scale/zoom). It works well in half of the cases. The correct output looks like this: The red lines are filtered correspondences and the quadrilate...
Lets say we have a spectrum ranging from -X MHz to +X MHz. I would need to correct the frequency error in the spectrum by shifting the zero component to the middle (0 Hz). If the output (the frequency spectrum) is calculated via FFT, as far as I know I can move the spectrum by adjusting the 'twiddle factors' (or coeffi...
Possible Duplicate: How to find tennis courts in aerial imagery I am trying to detect tennis courts that are present in aerial images .. I have the following image: I tried color image segmentation on it but no success it gives a bad result : What techniques should i apply for the same please suggest i think...
I was wondering about super simple applications of linear or logistic regression to signal processing (image processing specifically)? I'm a math guy that's been asked to explain some mathematical methods to signal/image processing people, and I'd like to be able to use a couple simple examples that are related to thei...
I have a project on my university. I have to localize from video where are shoulders of person in movie. Do have any advise how to get to this? I thought about corner detection or some kind of shape detection. But I'm still not sure what next. We can treat video like image sequence (I wrote this, but I think is obviou...
I am trying to design a cloth that, from the point of view of a camera, is very difficult to compress with JPG, resulting in big-size files (or leading to low image quality if file size is fixed). It must work even if the cloth is far away from the camera, or rotated (let's say the scale can vary from 1x to 10x). Noise...
I am developing a vision application that is using the color chart below and camera to extract color of each patch in the chart. In order to do that, I have to first detect the chart area in an image and match the area with existing template which contains locations of patches. My question: I need to detect the color p...
I have a question concerning the deformation of objects in photos. Which deformations can an object depicted on a photo undergo through viewpoint and condition changes? Some deformations I have in mind are: rotation scale shearing translation illumination occlusion Which deformations did I forget? Best!
Well, this may show I didn't take image processing class. I have this template to match an object in images. But real object in images, for example, does not look like that but the second image. What operations do I need to take for the images like the second one to be ready for template matching? FYI, the third image ...
Suppose I have a real (physical) dynamical system with some sensors and actuators, and I also have an idealized state-space model of this same system. How, in general, can I adjust the model to match the real system? My experience is with frequency-domain analysis. My first reaction would be to measure swept-sine tra...
I'm looking for an open source library to detect Human speech from an audio clip, such as a wav file.
Ok, the spectral flatness (also called Wiener entropy) is defined as the ratio of the geometric mean of a spectrum to its arithmetic mean. Wikipedia and other references say the power spectrum. Isn't that the square of the Fourier transform? The FFT produces an "amplitude spectrum" and then you square that to get a "...
I have to estimate the number of signals present in a measurement contaminated by additive noise given $n$-dimensional snapshot vectors $\bf x$, modeled as $ \bf x = \bf A \bf s + \bf z $ where $\bf s$ is a $k \times 1$ vector representing $k$ different signals. $\bf A$ is an $n \times k$ non-random matrix and $\bf z$ ...
I'm trying to programmatically generate a wave (sine or square) with a continuously decreasing frequency. To do so, I simply multiply the starting frequency for a decreasing value, that linearly goes from 1 to 0, at intermediate steps throughout a given time span. I was puzzled to see (and hear) that, exactly at the ha...
I'm developing an application for PC that records microphone data in real-time, and plays it back after applying some effects. I'd like to apply these effects only when a single known speaker is talking. The environment might include other people's voice and indoor noise (for example, a classroom or a restaurant). Sin...
it could be a donkey question but I'm a little confused. I have this signal $w(t)=sin({\pi}0.1f)$. I have to calculate the period of this signal. $w(t)=sin(2{\pi}\frac{1}{20}f)$ the period of this signal is: $20s$ while the frequency is $\frac{1}{20}Hz$ is it correct?
I need to build a Quran app and I want to read out the verses when a user touches it. The problem I'm facing is that some verses may expand to one and half lines (highlighted red verse) or just fit in a quarter of a line (highlighted green verse). So adding each verse to textview or some other view wont work it seems. ...
Is there anyway of segmenting objects based on how far they are from the viewer? Can color values assess this sort of a thing for us? How will intensity levels help in determining how far the object is from the viewer? Another image:
I would much appreciate an intuitive explanation for (visual) tracking with Kalman filters. what I know: Prediction step: Dynamic system state $\mathbf x_t$: target location at time $t$ Measurement $\mathbf z_t$: the image at time index $t$ (??) Based on images/measurements $1\rightarrow(t-1)$ I want to predict state...