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Linear Predictive Coding Demo
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 Linear Predictive Coding Demo 

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An LPC vocoder (Linear-Predictive Coder), is a lossy compression technique that is highly optimized for low-bitrate speech transmission.

The problem here that we solve is to take a speech waveform with an 8kHz sampling rate, code it to a much lower bit-rate so that it can be transmitted over a channel, and finally decode it to a signal that is of the same quality.

To do this we take advantage of the fact that the human...



LPC is the oldest and the most basic of modern speech coders. Its a lossy scheme. Playback quality isn't preserved in the process but it can be used in low bit-rate systems.



This paper presents the empirical modeling of the
gaseous pilot plant which is a kind of interacting series process
with presence of non linearities. In this study, the discrete-time identification approach based on subspace method with...



CHAPTER 1: FOURIER ANALYSIS
1.1 CONTINUOUS-TIME FOURIER SERIES (CTFS)
1.2 PROPERTIES OF CTFS
1.2.1 Time-Shifting Property
1.2.2 Frequency-Shifting Property
1.2.3 Modulation Property
1.3 CONTINUOUS-TIME FOURIER...



This zip file contains the files for the demo used in "Introduction to Model Predictive Control Toolbox" webinar, available at this url:
http://www.mathworks.com/company/events/we...4.html?id=32784



Model Predictive Control based on linear models is widely used in the process Industry.

A function is provided to fit a local linear model to a data set so that the model obtained is designed to perform predictions within a prediction...



Linear slider looks like a frame with two markers for selecting min and max range limits.This component was developed to perform range selection. It uses background image (bmp) and could be connected to 2 TEdit components, which will display/edit...



In this demo, control object (plant) is gas separator. Control Performance of Cascade PID control and Model Predictive Control are compared .

This demo shows following contents.
[1] Plant modeling
Governing rules of the plant...



Orthogonal Linear Regression in 3D-space by using Principal Components Analysis

This is a wrapper function to some pieces of the code from the Statistics Toolbox demo titled "Fitting an Orthogonal Regression Using Principal...



Demo Program for Linux (ELF Binary, i386) of 60 CLX Instrumentation components included with Instrumentation Pack Pro 3.0 & 3 CLX, High-Speed, Real-Time Plot, Strip Chart, & Scope (Oscilloscope) components included with Plot Pack 3.0....



Linear programming library that incorporates the power of linear programming solver and simplicity of integration to Borland Delphi, Borland C++ Builder and other that support a DLL import. The maximum number of constraints and variables is...



Solves simultaneous linear equations of any order using Crammer's rule. Required input is two lists..one for coefficients, and other for constants
eg. 2x+3y=8
x+4y=6 will be written as
simul([[2,3],[1,4]],[8,6])



This is a two channel version of the "Four Bit Vertical Coloured Analogue Bar Graph Generator DEMO...".

These are DUAL LED style "VU" meters in the vertical plane...

This is for standard Python 3.x.x.



Static Huffman Coding and Decoding, and Adaptive Huffman Coding and Decoding for text compression



This file contains MATLAB functions, m-files, that do Huffman coding and arithmetic coding of integer (symbol) sequences. Complete coding may be done by calling an easy to use main program (or main function), where input argument is the sequences...



Arithmetic coding and decoding for Text Compression



Generic transmitter-receiver turbo coding scheme with puncturing and generic RSC coders. It represents the trellis structure and puncturing can be specified.
BER plots can be output.



A function that codes a string of chars with Lempel Ziv coding



wen we give the two sequence ,we will get the o/p of linear convolution.the two sequences are computing by particular formula.thus we will got the output from the two sequences. the impulse response also we will get.



Companion software for the Signal Processing & Linear Systems book by B.P. Lathi