scholarly journals Algorithm based on 2‐bit adaptive delta modulation and fractional linear prediction for Gaussian source coding

2021 ◽  
Author(s):  
Zoran Peric ◽  
Bojan Denic ◽  
Vladimir Despotovic
Keyword(s):  
Linear Prediction ◽  
Source Coding ◽  
Gaussian Source ◽  
Delta Modulation

scholarly journals Three-Level Delta Modulation with Second-Order Prediction for Gaussian Source Coding

2018 ◽  
Vol 18 (3) ◽  
pp. 125-130 ◽  
Author(s):  
Z. PERIC ◽  
B. DENIC ◽  
V. DESPOTOVIC
Keyword(s):  
Source Coding ◽  
Second Order ◽  
Gaussian Source ◽  
Delta Modulation

Linear Prediction Based Hyper-spectral Imagery Compression Using Distributed Source Coding

2012 ◽  
Vol 7 (12) ◽  
pp. 27-34
Author(s):  
Xianyun Wu ◽  
Yunsong Li ◽  
Chengke Wu ◽  
Li Wang
Keyword(s):  
Linear Prediction ◽  
Source Coding ◽  
Distributed Source Coding ◽  
Distributed Source ◽  
Hyper Spectral

scholarly journals Distributed Recovery of a Gaussian Source in Interference with Successive Lattice Processing

Entropy ◽  
2019 ◽  
Vol 21 (9) ◽  
pp. 845 ◽  
Author(s):  
Christian Chapman ◽  
Matthew Kinsinger ◽  
Ameya Agaskar ◽  
Daniel W. Bliss
Keyword(s):  
Upper Bound ◽  
Mean Squared Error ◽  
Source Coding ◽  
Power Reduction ◽  
Search Problem ◽  
Squared Error ◽  
Reduction Property ◽  
Gaussian Source ◽  
Parameter Search

A scheme for recovery of a signal by distributed listeners in the presence of Gaussian interference is constructed by exhausting an “iterative power reduction” property. An upper bound for the scheme’s achieved mean-squared-error distortion is derived. The strategy exposes a parameter search problem, which, when solved, causes the scheme to outperform others of its kind. Performance of a blocklength-one scheme is simulated and is seen to improve over plain source coding without compression in the presence of many interferers, and experiences less outages over ensembles of channels.

scholarly journals Asymptotic Rate-Distortion Analysis of Symmetric Remote Gaussian Source Coding: Centralized Encoding vs. Distributed Encoding

Entropy ◽  
2019 ◽  
Vol 21 (2) ◽  
pp. 213 ◽  
Author(s):  
Yizhong Wang ◽  
Li Xie ◽  
Siyao Zhou ◽  
Mengzhen Wang ◽  
Jun Chen
Keyword(s):  
Mean Squared Error ◽  
Source Coding ◽  
Rate Distortion ◽  
Asymptotic Rate ◽  
Squared Error ◽  
Simple Characterization ◽  
Distortion Functions ◽  
Distortion Analysis ◽  
Gaussian Source ◽  
Multivariate Gaussian

Consider a symmetric multivariate Gaussian source with ℓ components, which are corrupted by independent and identically distributed Gaussian noises; these noisy components are compressed at a certain rate, and the compressed version is leveraged to reconstruct the source subject to a mean squared error distortion constraint. The rate-distortion analysis is performed for two scenarios: centralized encoding (where the noisy source components are jointly compressed) and distributed encoding (where the noisy source components are separately compressed). It is shown, among other things, that the gap between the rate-distortion functions associated with these two scenarios admits a simple characterization in the large ℓ limit.

scholarly journals Minimum Expected Distortion in Gaussian Source Coding With Fading Side Information

2012 ◽  
Vol 58 (9) ◽  
pp. 5725-5739 ◽  
Author(s):  
Chris T. K. Ng ◽  
Chao Tian ◽  
Andrea J. Goldsmith ◽  
Shlomo Shamai
Keyword(s):  
Source Coding ◽  
Side Information ◽  
Gaussian Source

scholarly journals Gaussian source coding with spherical codes

2002 ◽  
Vol 48 (11) ◽  
pp. 2980-2989 ◽  
Author(s):  
J. Hamkins ◽  
K. Zeger
Keyword(s):  
Source Coding ◽  
Spherical Codes ◽  
Gaussian Source

scholarly journals Three-Level Delta Modulation for Laplacian Source Coding

2017 ◽  
Vol 17 (1) ◽  
pp. 95-102 ◽  
Author(s):  
B. DENIC ◽  
Z. PERIC ◽  
V. DESPOTOVIC
Keyword(s):  
Source Coding ◽  
Delta Modulation

scholarly journals Gaussian Source Coding using a Simple Switched Quantization Algorithm and Variable Length Codewords

2020 ◽  
Vol 20 (4) ◽  
pp. 11-18
Author(s):  
Z. PERIC ◽  
G. PETKOVIC ◽  
B. DENIC ◽  
A. STANIMIROVIC ◽  
V. DESPOTOVIC ◽  
...  
Keyword(s):  
Source Coding ◽  
Variable Length ◽  
Gaussian Source

scholarly journals Kompresi Citra dengan menggunakan Metode Delta Modulation

2014 ◽  
Vol 14 (1) ◽  
pp. 1-12
Author(s):  
Didik Ardiyanto ◽  
Bambang Hari Purwoto
Keyword(s):  
Source Coding ◽  
Lossy Compression ◽  
Step Size ◽  
Black And White ◽  
Delta Modulation ◽  
True Color

Kompresi citra merupakan suatu teknik yang digunakan untuk mengurangi biaya penyimpanan dan transmisi. Pemampatan atau kompresi citra merupakan suatu metode yang sangat bermanfaat bagi perkembangan citra digital. Dengan kompresi, data citra digital yang ukurannya besar, dapat dikompres sehingga mempunyai ukuran yang lebih kecil. Program kompresi citra dengan metode delta modulation ini, dibuat dengan GUI dan source coding. Dengan menerapkan fungsi dari Dmsig untuk pengolahan sinyal, maka didapatkan rumus untuk mengkompres gambar yang dipengaruhi oleh step size dan ukuran gambar tersebut. Kelebihan dari teknik Delta Modulation adalah dapat mengkompres gambar grayscale, black and white dan true color. Hasil gambar yang sudah dikompres menunjukkan bahwa metode ini baik untuk menghasilkan gambar dengan output berformat jpg,png dan tiff. Kualitas gambar yang paling baik dari hasil kompresi delta modulation yaitu gambar berformat jpg. Untuk tingkat kompresi yang paling bagus juga ada pada gambar berformat jpg, ini diambil berdasarkan nilai MSE dan PSNR yang di hitung pada gambar hasil kompresi. Tingkat kompresi dengan delta modulation termasuk tinggi karena masuk ke lossy compression.

Sign in / Sign up

Export Citation Format

Share Document