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encode the binary image shown in figure below using the modified modified read
although snr is a widely used measure of distortion it often does not correlate with perceptual quality in order to see
consider the following lossy compression scheme for binary sequences we divide the binary sequence into blocks of size
write a program to implement the compression scheme described in the previous problema generate a random binary
1 design a 3-bit uniform quantizer specify the decision boundaries and representation levels for a source with a
the pixel values in the sena image are not really distributed uniformly obtain a histogram of the image you can use the
use the program misuquan to study the effect of mismatch between the input and assumed variances how do these effects
use the test images sena and bookshelf 1 to study the trade-offs involved in the selection of block sizes in the
generalize the jayant quantizer to the nonuniform case assume that the input is from a known distribution with unknown
lets look at the rate distortion performance of the various quanitzersa plot the rate-distortion function rp for a
for the quantizer of the previous problem rather than moving the output points to plusmn 0 and 0 plusmn we could have
generate a 16-dimensional codebook of size 64 for the sena image construct the vector as a 4 x 4 block of pixels an 8 x
in this problem we will compare the performance of a 16-dimensional pyramid vector quantizer and a 16-dimensional lbg
generate an ar1 process using the relationshipxn 09 x xn-1 nwhere n is the output of a gaussian random number
generate an ar5 process using the following coefficients 1381 06 0367 -07 0359a encode this with a dpcm system with a
dpcm can also be used for encoding images encode the sinan image using a one-tap predictor of the formxij a x xij-1and
repeat the image-coding experiment of the previous problem using a jayant quantizer we want to dpcm-encode images using
dpcm-encode the sinan elif and bookshelf 1 images using a one-tap predictor and a four-level quantizer followed by a
a dpcm-encode the sinan elif and bookshelf 1 images using a two-tap predictor and a four-level quantizer followed by a
let x be a set of n linearly independent vectors and let v be the collection of vectors obtained using all linear
1 prove parsevals theorem for the fourier transform2 prove the modulation property of the fourier transform3 prove the
consider the following sequence of values101112111213121110-108-78-87-7a transform each row separately using an
group projecta client of yours is concerned about external intrusion on their corporate network and those inside their
webots autonomous system projectfrom the coursework sheetusing the e-puck robot model of the webots robot simulator
assignment taskspart one - use cases and statechartconsider a security system called a shs shs consists of embedded