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    102 quantization code matlab jobs fundet, i prisklassen EUR

    Vector quantization recording the Linde-Buzo-Gray (LBG) algorithm on selected audio tracks from the database containing the transcribed speech of the male speaker. The algorithm requires an initial codebook that contains the coding vector and is cleaved in each iteration on two vectors. The experiment was carried out using code books of size 2, 4, 8

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    The name of the project is vector quantization. Vector quantization were there has to be used the Linde-Buzo-Gray (LBG) algorithm on selected audio tracks from the database containing the transcribed speech. The algorithm requires an initial codebook that contains the coding vector and is cleaved in each iteration on two vectors. [login to view URL]

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    ...(macroscopic) scale. Quantum mechanics differs from classical physics in that energy, momentum, angular momentum and other quantities of a system are restricted to discrete values (quantization); objects have characteristics of both particles and waves (wave-particle duality); and there are limits to the precision with which quantities can be measured (uncertainty

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    I need a program that is b...that is based on the Vector Quantization algorithm. For the process, it needs to be using normal distribution data around 100 points. I need a 2D graphical representation as well as animation of each step/iteration of the algorithm. Please add a description file. I have attached some information about Vector Quantization.

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    ...the RSSI of each received packet (Link layer can record the RSSI value of every received packet) 2. Pre-quantization interpolation step to reduce the probability of bit mismatch 3. Adaptive Secret Bit Generation quantization schemes - quantization of RSSI values by using threshold to obtain an initial key stream 4. Information reconciliation - correction

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    ...the RSSI of each received packet (Link layer can record the RSSI value of every received packet) 2. Pre-quantization interpolation step to reduce the probability of bit mismatch 3. Adaptive Secret Bit Generation quantization schemes - quantization of RSSI values by using threshold to obtain an initial key stream 4. Information reconciliation - correction

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    ...gamut errors. Include quantization considerations in the equations if necessary. 2) The YCrCb equations are to include --with and without the quantization offsets for white and black limits. Deliverables are simply the equations that are to be well documented and defined and a color graphic plot or video simulation (Matlab etal) of your work for

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    1. Read the sample PCM video file into MATLAB. 2. Plot the histogram of the video sequence. 3. Apply PCM with 16 quantization levels. In other words, change the number of levels from whatever it is in the sample video file to 4 bits/pixel. Calculate the SNR at the output of the quantizer. 4. Apply DPCM (including both transmitter and receiver

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    I am working on quantization and channel encoding using matlab. i need some help with my code

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    We need to basically compress an image by encoding , quantization and then calculate values like compression ration , mean squared error , quality factor and psnr . Once this is done all these values should be stored in database .

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    speech coding paper i need to do an ieee paper about multistage vector quantization

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    i need a matlab code for training and testing a large data speech and after extracting the lsf line spectral frequency from a speech signal designing codebooks for multistage vector quantization using joint search algorithum

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    speech processing anylysis of speech signal and quantize it using split and multistage vector quantization

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    Need help to tackle some questions on quantization for PCM(Pulse Code Modulation). Draw Magnitude spectrum of two cosine signals

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    i want a matlab code for multistage vector quantization in speech coding designing codebooks and encoding the speech to lcp and lsf and searching for the lowest distortion by using full search algorithum

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    ...custom graphics, the MP3 track title (character limit ??) and the associated MP3 track itself - see attached pix for details. MP3 track can be encoded at any bit rate, quantization and be either in mono or stereo. - 10MB per track estimate. App behaviour: User selects tune by simply touching applicable track graphic. The graphic then shows selection

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    Objective: Demonstrate quantization, channel encoding, TDM, demultiplexing, channel decoding, and interpolation of signals using Matlab. Requirements: 1. Sample and quantize the given signals. Plot the given signals 2. Use cyclic code for channel encoding and use TDM to perform multiplexing of the signals. Transmit the multiplexed signal 3. Receive

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    ...manipulate signal frequencies to improve sound quality for different listening environments. During analog to digital conversion, audio signals are subject to phase shift, quantization noise, and electromagnetic noise that can be reduced with the help of audio equalizers. Applying filters across multiple bandwidths and using algorithm modification can

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    searching for anybody that can write and provide full source code for final year project in image steganography field. My project is to enhance data hiding technique based on side match vector quantization.

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    I have uploaded the file. My ID number is 16096371 So use quantization region levels according to that. Dont use any built in Library and functions. The language used should be python.

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    Hello, I need a skilled Matlab Programmer to design and propose an improved version of data hiding based on SMVQ techniques for digital images that increase the current payload capacity without decreasing the PSNR value of the cover image . The proposed technique must be evaluate in order to ensure both criteria (higher payload capacity and higher

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    ...Drive) and/or sent to a specified email address. - The voice recordings will need to be high quality recordings (WAV format, at least 44 kHz sampling rate and 16-bit quantization) because the research project will require us to perform (nonverbal) acoustic analyses on the voice recordings, including measuring vocal frequencies. - There should

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    ...Drive) and/or sent to a specified email address. - The voice recordings will need to be high quality recordings (WAV format, at least 44 kHz sampling rate and 16-bit quantization) because the research project will require us to perform (nonverbal) acoustic analyses on the voice recordings, including measuring vocal frequencies. - There should

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    ...using their own phones, and might have either type of operating system. - The recordings will need to be high quality (WAV format, at least 44 kHz sampling rate and 16-bit quantization) because the research project will require us to perform acoustic analyses on the voice recordings. - For each recorded session, the app should save and store the date/time

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    Demonstrate quantization, channel encoding, TDM, demultiplexing, channel decoding, and interpolation of signals using Matlab.

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    Demonstrate quantization, channel encoding, TDM, demultiplexing, channel decoding, and interpolation of signals using Matlab.

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    i want to write about index quantization

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    Video encoding in matlab environment using DCT and Quantization

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    Project Name:Vector Quantization for Image .Lossy Compress (gray scale)TIF Image Area:Information Theory. we have to do lossy compress of the tif image in matlab. we have to create separate programs for encoder and decoder. Apply K means Algorithm. By using the programs we have to plot Rate and distortion . and after that we have compare

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    have to develop codebook using k means and save the index in code matrix

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    I need you to write an academic article. Image data hiding

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    ...module should be synthesizable and implemented with FIFO rnrnwith following conditions -rnrnC macros should be implemented as inlined VHDL functionsrnUse the same quantization bit width as in the software.rnCreate a package with the array of filter coefficients and use generics to configure the filter taps and coefficients.rnHigh-level for-loops

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    ...each functional unit.rnrnIn your design, you should employ the following strategies:rnrnC macros should be implemented as inlined VHDL functionsrnUse the same quantization bit width as in the software.rnCreate a package with the array of filter coefficients and use generics to configure the filter taps and coefficients.rnHigh-level for-loops

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    Haster
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    Project Description: I want a matlab codes on image processing for a paper attached with the name "PAPER TO BE IMPLEMENTED"; other references has also been added. The key deliverable I am looking forward to is : 1. Algorithm flow 2.Matlab code files (.m files) 3. Description of codes / report explaining the functioning and output inference

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    i need 4 different technique... the techniques are : lsb, pseudo random, palette based, quantization and dittering... we can use jpeg,png and bitmap format image. and i would like to hide text or image in image. Also i need performance comparision about each hiding methods. Imperceptibility, Capacity test, Chi-square-family-attack resistance

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    ...a report on Pulse Code Modulation but it needs some edition. I has to be more professional and practical. I can direct you to do these changes and it will help you a lot. You need to be aware of Pulse Code Modulation and some basic definitions of it, also you need to know what the problems are, know what the best quantization method and most efficient

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    i need 4 different technique... the techniques are : lsb, pseudo random, palette based, quantization and dittering... we can use jpeg,png and bitmap format image. and i would like to hide text or image in image. Also i need performance comparision about each hiding methods. Imperceptibility, Capacity test, Chi-square-family-attack resistance

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    i need 4 different technique... the techniques are : lsb, pseudo random, palette based, quantization and dittering... we can use jpeg,png and bitmap format image. and i would like to hide text or image in image. Also i need performance comparision about each hiding methods. Imperceptibility, Capacity test, Chi-square-family-attack resistance

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    i need 4 different technique... the techniques are : lsb, pseudo random, palette based, quantization and dittering... we can use jpeg format image. and i would like to hide just text in image.

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    i need 4 different technique... the techniques are : lsb, pseudo random, palette based, quantization and dittering... we can use jpeg format image. and i would like to hide just text in image.

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    i need 4 different technique... the techniques are : lsb, pseudo random, palette based, quantization and dittering... we can use jpeg format image. and i would like to hide just text in image.

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    a new adapt...rate of the proposed algorithm is 46.9–50.3 b/s. Relying on exhaustive simulations, we show the robustness of the hidden watermark for additive noise, MP3 compression, re-quantization, filtering, cropping and resampling. The comparison analysis shows that our method has better performance than watermarking schemes reported recently

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    jpeg image compression using following steps [login to view URL] image based on chrominance and illuminance (cb ,cr) [login to view URL] cosine transformation 3. quantization 4. zigzag scan, run length encoding for ac coefficients, differential encoding for dc coefficients, [login to view URL] coding

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    To implement a non-uniform quantzer. For example Mu transform based quantzer and A-law quantization transform based quantzer using images.

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    1. Most quantizer based data hiding schemes use uniform quantizer, which is not optimal if the host signal is not uniformly distributed. In this project, we design a quantizer that is not only pdf -matched but also more suited to embedding than the Linde-Buzo-Gray (Lloyd- Max) algorithm for vector (scalar) quantizer design. NON-UNIFORM QUANTIZER DESIGN FOR IMAGE DATA HIDING Ning Liu and K.P. Subb...

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    —A new color-based image retrieval method is proposed in the paper. The quantization precision of this algorithm is higher than that of supervised method and its efficiency well than unsupervised way. First, through the distance-matrix of color, the sample image is clustered in a self-organizing way, thus its palette can be obtained. Based on the palette

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    ...to design a speaker recognition system. For feature extraction I am using MFCC technique. The problem I'm facing in is the classification part. I've already used Vector quantization as one of the classifiers but i need two more classifiers to compare the performance. I've created my own database of 10 users but i'd be better if u could arrange a larger

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    ...to design a speaker recognition system. For feature extraction I am using MFCC technique. The problem I'm facing in is the classification part. I've already used Vector quantization as one of the classifiers but i need two more classifiers to compare the performance. I've created my own database of 10 users but i'd be better if u could arrange a larger

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    2 bud