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Spectrum Analyzer: Processor Exercise Using C Language with C Introduction (55x)
(m13809)
Author:
Thomas Shen
Keywords:
autocorrelation
,
block processing
,
C language
,
DFT
,
digital signal processing
,
discrete fourier transform
,
discrete time fourier transform
,
DTFT
,
fast algorithms
,
fast fourier transform
,
FFT
,
frequency domain
,
IIR filter
,
PN generator
,
power spectral density
,
power spectral density estimation
,
PSD
,
pseudonoise generator
,
spectral analysis
,
spectrum
,
windowing
Summary:
This is a processor exercise in which students implement a spectrum analyzer using mixed C and assembly code. Students are to acquire a block of 1024 samples, apply a Hamming window, compute a length1024 Discrete Fourier Transform using provided Fast Fourier Transform code, and display the magnitudesquared spectrum ... pseudonoise generator.
[Expand Summary]
This is a processor exercise in which students implement a spectrum analyzer using mixed C and assembly code. Students are to acquire a block of 1024 samples, apply a Hamming window, compute a length1024 Discrete Fourier Transform using provided Fast Fourier Transform code, and display the magnitudesquared spectrum on an oscilloscope. Students will also compile and explore a reference implementation of an autocorrelationbased power spectral density (PSD) estimator. This implementation estimates the PSD of an IIRfiltered pseudonoise generator.
[Collapse Summary]
Subject:
Science and Technology
Language:
English
Popularity:
90.51%
Revised:
20080228
Revisions:
12
Spectrum Analyzer: PSD Estimator (55x)
(m15847)
Author:
Thomas Shen
Keywords:
autocorrelation
,
block processing
,
C language
,
DFT
,
digital signal processing
,
discrete fourier transform
,
discrete time fourier transform
,
DTFT
,
fast algorithms
,
fast fourier transform
,
FFT
,
frequency domain
,
IIR filter
,
PN generator
,
power spectral density
,
power spectral density estimation
,
PSD
,
pseudonoise generator
,
spectral analysis
,
spectrum
,
windowing
Summary:
This is an implementation of an autocorrelationbased power spectral density (PSD) estimator. This implementation estimates the PSD of an IIRfiltered pseudonoise generator.
Subject:
Science and Technology
Language:
English
Popularity:
67.46%
Revised:
20080221
Revisions:
New
Spectrum Analyzer: VPO/VISTA Optimization Exercise
(m12393)
Author:
Matt Kleffner
Keywords:
algorithm optimization
,
assembly language
,
autocorrelation
,
C language
,
code optimization
,
compiler
,
digital signal processing
,
library routines
,
optimization
,
optimizing compiler
,
profiler
,
register transfer list (rtl)
,
simulation
,
VISTA
,
VPO
Summary:
This module introduces the interactive optimizing compiler combination VPO/VISTA. VPO (Very Portable Optimizer) is a retargetable compiler developed at the University of Virginia. VISTA (VPO Interactive System for Tuning Applications), developed at Florida State University, is a GUI that allows a user to interactively select optimization steps with VPO feedback ... method desired.
[Expand Summary]
This module introduces the interactive optimizing compiler combination VPO/VISTA. VPO (Very Portable Optimizer) is a retargetable compiler developed at the University of Virginia. VISTA (VPO Interactive System for Tuning Applications), developed at Florida State University, is a GUI that allows a user to interactively select optimization steps with VPO feedback. Instructions are given on how to apply VPO/VISTA optimization to three routines provided in the power spectral density (PSD) estimator of the previous lab. Students are then asked to optimize these routines twice: once using VISTA and once using any method desired.
[Collapse Summary]
Subject:
Science and Technology
Language:
English
Popularity:
75.87%
Revised:
20060221
Revisions:
4
Spectrum of the Speech Signal
(m0088)
Author:
Don Johnson
Summary:
Modeling the speech signal using Fourier methods.
Subject:
Science and Technology
Language:
English
Popularity:
84.85%
Revised:
20040810
Revisions:
6
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
,
levinsondurbin 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 LevinsonDurbin algorithm in MATLAB and analyze a recording of your own voice.
Subject:
Science and Technology
Language:
English
Popularity:
97.20%
Revised:
20040225
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:
82.45%
Revised:
20040225
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
,
crosscorrelation
,
DSP
,
levinsondurbin
,
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. Crosscorrelation, autocorrelation, and autocovariance provide the mathematical tools to determine this predictability. If we know the autocorrelation of the speech sequence, we can use the LevinsonDurbin 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. Crosscorrelation, autocorrelation, and autocovariance provide the mathematical tools to determine this predictability. If we know the autocorrelation of the speech sequence, we can use the LevinsonDurbin algorithm to find an efficient solution to the least meansquare modeling problem and use the solution to compress or resynthesize the speech.
[Collapse Summary]
Subject:
Science and Technology
Language:
English
Popularity:
98.43%
Revised:
20090601
Revisions:
20
Speed
(m13279)
Author:
Sunil Kumar Singh
Keywords:
instantaneous
,
kinematics
,
physics
,
speed
,
vector
,
velocity
Summary:
Simply put : Speed is the magnitude of motion. Velocity, on other hand, is magnitude plus direction of motion.
Subject:
Science and Technology
Language:
English
Popularity:
90.17%
Revised:
20080917
Revisions:
14
Speed Calculation: the Details
(m13136)
Authors:
Heather Johnston
,
Siddharth Gupta
,
Veena Padmanabhan
,
Grant Lee
Summary:
Specifics on our algorithm to calculate the speed of a known object.
Subject:
Science and Technology
Language:
English
Popularity:
80.41%
Revised:
20051223
Revisions:
2
Speed of Sound, Frequency, and Wavelength
(m42256)
Author:
OpenStax College
Keywords:
pitch
Summary:
Define pitch. Describe the relationship between the speed of sound, its frequency, and its wavelength. Describe the effects on the speed of sound as it travels through various media. Describe the effects of temperature on the speed of sound.
Subject:
Science and Technology
Language:
English
Popularity:
79.04%
Revised:
20130909
Revisions:
4
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