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Frequency analysis: why?

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Fourier analysis - applications Fourier analysis - tools Fourier Series (FS) ... why? Fourier analysis - applications Fourier analysis - tools Fourier Series ... – PowerPoint PPT presentation

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Title: Frequency analysis: why?


1
Frequency analysis why?
  • Fast efficient insight on signals building
    blocks.
  • Simplifies original problem - ex. solving Part.
    Diff. Eqns. (PDE).
  • Powerful complementary to time domain analysis
    techniques.
  • Several transforms in DSPing Fourier, Laplace,
    z, etc.

2
Fourier analysis - applications
  • Applications wide ranging and ever present in
    modern life
  • Telecomms - GSM/cellular phones,
  • Electronics/IT - most DSP-based applications,
  • Entertainment - music, audio, multimedia,
  • Imaging, image processing,
  • Industry/research - X-ray spectrometry, chemical
    analysis (FT spectrometry), radar design,
  • Medical - EGG, heart malfunction diagnosis,
  • Speech analysis (voice activated devices,
    biometry, ).

3
Fourier analysis - tools
Input Time Signal Frequency spectrum
4
Fourier Series (FS)
synthesis
analysis
Note cos(k?t), sin(k?t) k form orthogonal
base of function space.
5
FS synthesis
Square wave reconstruction from spectral terms
Convergence may be slow (1/k) - ideally need
infinite terms. Practically, series truncated
when remainder below computer tolerance (?
error). BUT Gibbs Phenomenon.
6
Gibbs phenomenon
Overshoot exist _at_ each discontinuity
7
Fourier Integral (FI)
Fourier analysis tools for aperiodic signals.
8
FT - example
FT of 2?-wide square window
9
Digital data formats
Positional number system with base b
.. a2 a1 a0 . a-1 a-2 .. b .. a2 b 2 a1
b 1 a0 b 0 a-1 b -1 a-2 b -2 ..
Important bases 10 (decimal), 2 (binary), 8
(octal), 16 (hexadecimal).
10
Fixed-point binary
Represent integer or fractional binary numbers.
NB Constant gap between numbers.
11
Floating-point binary - 2
IEEE 754 standard
12
Finite word-length effects
13
DSP Devices Architectures
  • Selecting a DSP several choices
  • Fixed-point
  • Floating point
  • Application-specific devices(e.g. FFT
    processors, speech recognizers,etc.).
  • Main DSP Manufacturers
  • Texas Instruments (http//www.ti.com)
  • Motorola (http//www.motorola.com)
  • Analog Devices (http//www.analog.com)

14
Typical DSP Operations
  • Filtering
  • Energy of Signal
  • Frequency transforms

15
Traditional DSP Architecture
X RAM
Y RAM
a
x(n-i)
Multiply/Accumulate
Accumulator
y(n)
Most modern DSPs have more advanced features.
16
TIs DSP Portfolio
C6000 (C62x, C67x)
  • Power Efficient Performance
  • Wireless Telephones/IADs
  • Modems / Telephony
  • VoIP
  • .32ma/MIPS to sub 1V parts
  • 5 / 100 MIPS

C3x C4x C8x
  • Control Efficient
  • Storage
  • Brushless Motor Control
  • Flash Memory
  • A/D
  • PWM Generators
  • High Performance
  • Multi-Channel / Function
  • Comm Infrastructure
  • xDSL
  • Imaging, Video
  • VLIW architecture
  • 2400 MIPS
  • Roadmap to 1 GHZ

17
Personal and Portable Applications
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C67x Architecture
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23
DSP STARTER KIT (DSK)
24
C6711 DSK OVERVIEW
25
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