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Spectrum Analyzer: MATLAB Exercise
(m10625)
Authors:
Douglas L. Jones
,
Swaroop Appadwedula
,
Matthew Berry
,
Mark Haun
,
Jake Janovetz
,
Michael Kramer
,
Dima Moussa
,
Daniel Sachs
,
Brian Wade
Keywords:
bit-reversed
,
boxcar
,
DFT
,
Discrete Fourier Transform
,
Discrete Time Fourier Transform
,
DSP
,
DTFT
,
Fast Fourier transform
,
FFT
,
Fourier transform
,
hamming
,
mainlobe
,
sidelobe
,
twiddle-factor
,
windowing
,
zero-pad
Summary:
You will investigate the effects of windowing and zero-padding on the Discrete Fourier Transform of a signal.
Subject:
Science and Technology
Language:
English
Popularity:
90.78%
Revised:
2004-02-25
Revisions:
9
Spectrum Analyzer: MATLAB Exercise
(m12379)
Authors:
Swaroop Appadwedula
,
Matthew Berry
,
Mark Haun
,
Jake Janovetz
,
Michael Kramer
,
Dima Moussa
,
Daniel Sachs
,
Brian Wade
,
Matt Kleffner
,
Douglas L. Jones
Keywords:
autocorrelation
,
bit-reversed
,
boxcar
,
DFT
,
Discrete Fourier Transform
,
Discrete Time Fourier Transform
,
DSP
,
DTFT
,
Fast Fourier transform
,
FFT
,
Fourier transform
,
hamming
,
mainlobe
,
Power Spectra
,
Power Spectral Density Estimate
,
PSD
,
sidelobe
,
twiddle-factor
,
windowing
,
zero-pad
Summary:
You will investigate the effects of windowing and zero-padding on the Discrete Fourier Transform of a signal, as well as the effects of data-set quantities and weighting windows used in Power Spectral Density estimation.
Subject:
Science and Technology
Language:
English
Popularity:
98.67%
Revised:
2004-09-23
Revisions:
2
Speech Processing: LPC Exercise in MATLAB
(m10824)
Authors:
Douglas L. Jones
,
Swaroop Appadwedula
,
Matthew Berry
,
Mark Haun
,
Jake Janovetz
,
Michael Kramer
,
Dima Moussa
,
Daniel Sachs
,
Brian Wade
Keywords:
autocorrelation
,
DSP
,
levinson-durbin algorithm
,
linear predictive coding
,
speech
,
speech analysis
,
speech coding
,
speech compression
,
speech synthesis
,
xcorr
Summary:
You will write MATLAB code to compute the autocorrelation sequence of a simple signal. Then you will implement the Levinson-Durbin algorithm in MATLAB and analyze a recording of your own voice.
Subject:
Science and Technology
Language:
English
Popularity:
96.98%
Revised:
2004-02-25
Revisions:
6
Speech Processing: LPC Exercise on TI TMS320C54x
(m10825)
Authors:
Douglas L. Jones
,
Swaroop Appadwedula
,
Matthew Berry
,
Mark Haun
,
Jake Janovetz
,
Michael Kramer
,
Dima Moussa
,
Daniel Sachs
,
Brian Wade
Keywords:
autocorrelation
,
autocovariance
,
division
,
DSP
,
speech processing
Summary:
You will write code to compute the autocorrelation or autocovariance of an input signal. Then you connect a microphone to the DSP and write code to detect the beginning of a speech segment. Finally, you will combine the two programs and compare results with MATLAB.
Subject:
Science and Technology
Language:
English
Popularity:
81.79%
Revised:
2004-02-25
Revisions:
7
Speech Processing: Theory of LPC Analysis and Synthesis
(m10482)
Authors:
Douglas L. Jones
,
Swaroop Appadwedula
,
Matthew Berry
,
Mark Haun
,
Jake Janovetz
,
Michael Kramer
,
Dima Moussa
,
Daniel Sachs
,
Brian Wade
Keywords:
autocorrelation
,
autocovariance
,
correlation
,
cross-correlation
,
DSP
,
levinson-durbin
,
linear predicitive coding
,
speech
,
speech coding
,
speech compression
,
speech synthesis
Summary:
Speech analysis and synthesis with Linear Predictive Coding (LPC) exploit the predictable nature of speech signals. Cross-correlation, autocorrelation, and autocovariance provide the mathematical tools to determine this predictability. If we know the autocorrelation of the speech sequence, we can use the Levinson-Durbin algorithm to find an efficient solution ... the speech.
[Expand Summary]
Speech analysis and synthesis with Linear Predictive Coding (LPC) exploit the predictable nature of speech signals. Cross-correlation, autocorrelation, and autocovariance provide the mathematical tools to determine this predictability. If we know the autocorrelation of the speech sequence, we can use the Levinson-Durbin algorithm to find an efficient solution to the least mean-square modeling problem and use the solution to compress or resynthesize the speech.
[Collapse Summary]
Subject:
Science and Technology
Language:
English
Popularity:
98.29%
Revised:
2009-06-01
Revisions:
20
Surround Sound: Chamberlin Filters
(m10479)
Authors:
Douglas L. Jones
,
Swaroop Appadwedula
,
Matthew Berry
,
Mark Haun
,
Jake Janovetz
,
Michael Kramer
,
Dima Moussa
,
Daniel Sachs
,
Brian Wade
Keywords:
Chamberlin
,
DSP
,
filter
,
IIR
,
low-pass
,
music
,
narrow-band
Summary:
The Chamberlin filter topology can implement very narrow-band, low-pass filters. This module provides the Chamberlin filter transfer function, an illustration of the topology, and sample frequency responses for different choices of design parameters.
Subject:
Science and Technology
Language:
English
Popularity:
83.91%
Revised:
2009-06-03
Revisions:
16
Surround Sound: Passive Encoding and Decoding
(m10484)
Authors:
Douglas L. Jones
,
Swaroop Appadwedula
,
Matthew Berry
,
Mark Haun
,
Jake Janovetz
,
Michael Kramer
,
Dima Moussa
,
Daniel Sachs
,
Brian Wade
Keywords:
decoder
,
Dolby Pro Logic
,
DSP
,
encoder
,
Hilbert transform
,
surround sound
Summary:
You will implement a Dolby Pro Logic encoder in MATLAB and a passive surround sound decoder on DSP hardware.
Subject:
Science and Technology
Language:
English
Popularity:
91.88%
Revised:
2009-06-01
Revisions:
14
Two's Complement and Fractional Arithmetic for 16-bit Processors
(m10808)
Authors:
Douglas L. Jones
,
Swaroop Appadwedula
,
Matthew Berry
,
Mark Haun
,
Dima Moussa
,
Daniel Sachs
,
Jason Laska
Keywords:
DSP
,
fractional arithmetic
,
overflow
,
two's complement
Summary:
Two's-complement notation is a mathematically convenient way of representing signed numbers in microprocessors. The most significant bit of a two's complement number represents its sign, and the remaining bits represent its magnitude. Fractional arithmetic allows one to multiply numbers on an integer processor without incurring overflow. Fractional ... one bit.
[Expand Summary]
Two's-complement notation is a mathematically convenient way of representing signed numbers in microprocessors. The most significant bit of a two's complement number represents its sign, and the remaining bits represent its magnitude. Fractional arithmetic allows one to multiply numbers on an integer processor without incurring overflow. Fractional arithmetic requires sign-extension of multipliers and multiplicands, and it requires the product of two numbers to be left-shifted one bit.
[Collapse Summary]
Subject:
Science and Technology
Language:
English
Popularity:
97.54%
Revised:
2005-01-30
Revisions:
10
Using the Serial Port with a MATLAB GUI
(m12062)
Authors:
Jason Laska
,
Matthew Berry
,
Daniel Sachs
Keywords:
DSP
,
GUI
,
Matlab
,
Serial Port
Summary:
Explains how to send and receive data with the DSP through the serial port. Example code is shown in both assembly and C (for the DSP) as well as MATLAB for interfacing on the PC. Some example code for creating a MATLAB GUI is also shown.
Subject:
Science and Technology
Language:
English
Popularity:
99.30%
Revised:
2004-06-25
Revisions:
New
Vector Signal Analyzer: Testing a QPSK Transmitter on Hewlett Packard 89440A
(m10667)
Authors:
Douglas L. Jones
,
Swaroop Appadwedula
,
Matthew Berry
,
Mark Haun
,
Jake Janovetz
,
Michael Kramer
,
Dima Moussa
,
Daniel Sachs
,
Brian Wade
Keywords:
constellation
,
demodulate
,
QPSK
,
quadrature phase shift keying
,
spectrum
,
test
,
vector signal analyzer
Summary:
You will configure a Hewlett Packard 89440A Vector Signal Analyzer (VSA) to display a quadrature phase shift keying (QPSK) constellation or a signal spectrum.
Subject:
Science and Technology
Language:
English
Popularity:
80.32%
Revised:
2004-02-25
Revisions:
7
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