i want lpc code for image for my project.

lpc in matlab code for image

This example shows how to implement a speech compression technique known as Linear Prediction Coding (LPC) using DSP System Toolbox™ functionality available at the MATLAB® command line.

Introduction

In this example you implement LPC analysis and synthesis (LPC coding) of a speech signal. This process consists of two steps: analysis and synthesis. In the analysis section, you extract the reflection coefficients from the signal and use it to compute the residual signal. In the synthesis section, you reconstruct the signal using the residual signal and reflection coefficients. The residual signal and reflection coefficients require less number of bits to code than the original speech signal.

In this simulation, the speech signal is divided into frames of size 3200 samples, with an overlap of 1600 samples. Each frame is windowed using a Hamming window. Twelfth-order autocorrelation coefficients are found, and then the reflection coefficients are calculated from the autocorrelation coefficients using the Levinson-Durbin algorithm. The original speech signal is passed through an analysis filter, which is an all-zero filter with coefficients as the reflection coefficients obtained above. The output of the filter is the residual signal. This residual signal is passed through a synthesis filter which is the inverse of the analysis filter. The output of the synthesis filter is the original signal.