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DSP Optimization Techniques (m12380)
Maintainers: Matt Kleffner, Jason Laska, Douglas L. Jones
Keywords: algorithm optimization, assembly language, autocorrelation, C language, code optimization, compiler, digital signal processing, fast algorithms, FFT, library routines, MATLAB, optimization, optimizing compiler, profiler, simulation
Summary: An overview of DSP optimization techniques, from the design stage, through high-level implementations, to assembly implementations.
Subject: Science and Technology
Language: English
Popularity: 91.80%
Revised: 2004-09-21
Revisions: 2
Spectrum Analyzer: Introduction to Fast Fourier Transform and Power Spectra (ECE 420 specific) (m12369)
Maintainers: Matt Kleffner, Douglas L. Jones, Jason Laska
Summary: In this lab you will explore DSP FFT implementations and power spectral density (PSD) estimators. You will also learn how to write DSP code in C and the trade-offs between writing in C versus assembly.
Subject: Science and Technology
Language: English
Popularity: 93.54%
Revised: 2004-09-23
Revisions: 2
Spectrum Analyzer: MATLAB Exercise (m12379)
Maintainers: Matt Kleffner, Douglas L. Jones, Jason Laska
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
Spectrum Analyzer: Processor Exercise Using C Language with C Introduction (m11827)
Maintainers: Matt Kleffner, Jason Laska, Douglas L. Jones
Keywords: block processing, C language, DFT, digital signal processing, discrete fourier transform, discrete time fourier transform, DTFT, fast algorithms, fast fourier transform, FFT, frequency domain, spectral analysis, spectrum, windowing
Summary: This module describes 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 length-1024 Discrete Fourier Transform using provided Fast Fourier Transform code, and display the magnitude-squared spectrum on an oscilloscope.
Subject: Science and Technology
Language: English
Popularity: 84.28%
Revised: 2004-09-21
Revisions: 5
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