Predictive ECG coding using linear time-invariant models

Speech Compression Using Linear Predictive Coding(lpc)

One of the most powerful speech analysis techniques is the method of linear predictive analysis. This method has become the predominant technique for representing speech for low bit rate transmission or storage. The importance of this method lies both in its ability to provide extremely accurate estimates of the speech parameters and in its relative speed of computation. The basic idea behind l...

Speech Compression Using Linear Predictive Coding

The aim of the project is to develop a system for encoding good quality speech at a low bit rate. To implement this we have used most powerful speech analysis technique called Linear Predictive Coding (LPC). It uses 10 order Levinson-Durbin Recursion algorithm to accomplish the task. It provides extremely accurate estimates of speech parameters, and is relatively efficient for computation.The s...

Linear Predictive Coding

- 2 - Time - Varying Linear Predictive Coding of Speech Signals

For linear predictive coding (LPC) of speech, the speech waveform is modelled as the output of an all-pole filter. The waveform is divided into many short intervals (10-30 msec) during which the speech signal is assumed to be stationary. For each interval the constant coefficients of the all-pole filter are estimated by linear prediction by minimizing a squared prediction error criterion. This ...

Time Invariant Multichannel Averaging for ECG Signals

One of the biggest challenges in averaging ECG or EEG signals is to overcome temporal misalignments and distortions, due to uncertain timing or complex non-stationary dynamics. Standard methods average individual leads over an collection of epochs on a time-sample by timesample basis, even when multi-electrode signals are available. Here we propose a method that averages multi electrode recordi...