Time Frequency Analysis and Wavelet Transforms ????????? - PowerPoint PPT Presentation

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Time Frequency Analysis and Wavelet Transforms ?????????

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XIV. Orthogonal Transform and Multiplexing 14-A Orthogonal and Dual Orthogonal Any M N discrete linear transform can be expressed as the matrix form: – PowerPoint PPT presentation

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Title: Time Frequency Analysis and Wavelet Transforms ?????????


1
XIV. Orthogonal Transform and Multiplexing
? 14-A Orthogonal and Dual Orthogonal
Any M ? N discrete linear transform can be
expressed as the matrix form
Y A
X
inner product
2
Orthogonal
when k ? h
  • orthogonal transforms ???
  • ? discrete Fourier transform
  • ? discrete cosine, sine, Hartley transforms
  • ? Walsh Transform, Haar Transform
  • ? discrete Legendre transform
  • discrete orthogonal polynomial transforms
  • Hahn, Meixner, Krawtchouk, Charlier

3
?????????,????? orthogonal transform? Orthogonal
transform ????????
4
? If partial terms are used for reconstruction
for orthogonal case, perfect reconstruction par
tial reconstruction
K lt N
reconstruction error of partial reconstruction
?? ?????,???? K ??,
reconstruction error ??
5
For non-orthogonal case, perfect
reconstruction partial reconstruction
B A-1
K lt N
reconstruction error of partial reconstruction
??
??????, ???? K ??, reconstruction error
??
6
? 14-B Frequency and Time Division Multiplexing
?? Digital Modulation and Multiplexing?? Fourier
transform
? Frequency-Division Multiplexing
Xn 0 or 1
Xn can also be set to be -1 or 1
When (1) t ? 0, T (2) fn n/T
it becomes the orthogonal frequency-division
multiplexing (OFDM).
7
Furthermore, if the time-axis is also sampled
t mT/N, m 0, 1, 2, .., N-1
then the OFDM is equivalent to the transform
matrix of the inverse discrete Fourier transform
(IDFT), which is one of the discrete orthogonal
transform.
Modulation
8
Modulation
Demodulation
Example N 8 Xn 1, 0, 1,
1, 0, 0, 1, 1 (n 0 7)
9
? Time-Division Multiplexing
(also a discrete orthogonal transform)
10
??
?? time-division multiplexing ???? ???????
frequency-division multiplexing
? orthogonal frequency-division
multiplexing (OFDM)?
11
? 14-C Code Division Multiple Access (CDMA)
?? frequency-division multiplexing ?
time-division multiplexing,?????? multiplexing
????
????? orthogonal transforms ? code division
multiple access (CDMA)
CDMA is an important topic in spread spectrum
communication
????
1 M. A. Abu-Rgheff, Introduction to CDMA
Wireless Communications, Academic, London,
2007 2 ???, ????, CDMA ??????, ??, ??, 2002.
12
CDMA ????? orthogonal transform ? Walsh transform
channel 1
channel 2
channel 3
channel 4
channel 5
channel 6
channel 7
channel 8
13
?????????????? (A ?B??), (C ?D??)
, ????????????? (1) ???? (2) ???? (3) ????
14
  • CDMA ??
  • (1) Orthogonal Type (2) Pseudorandom
    Sequence Type
  •  
  • Orthogonal Type ??? ???? 1, 0, 1 1,
    1, 0
  • (1) ? 0 ?? -1 1, -1, 1 1, 1,
    -1
  • (2) 1, -1, 1 modulated by 1, 1, 1, 1, 1, 1,
    1, 1 (channel 1)
  • ? 1, 1, 1, 1, 1, 1, 1, 1, -1, -1, -1, -1,
    -1, -1, -1, -1, 1, 1, 1, 1, 1, 1, 1, 1
  • 1, 1, -1 modulated by 1, 1, 1, 1, -1,
    -1, -1, -1 (channel 2)
  • ? 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, 1,
    1, -1, -1, -1, -1, -1, -1, -1, -1, 1, 1, 1, 1
  • (3) ??
  • 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0,
    -2, -2, -2, -2, 0, 0, 0, 0, 2, 2, 2, 2

15
demodulation
2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, -2, -2, -2,
-2, 0, 0, 0, 0, 2, 2, 2, 2
1, 1, 1, 1, 1, 1, 1, 1
1, 1, 1, 1, 1, 1, 1,1
1, 1, 1, 1, 1, 1, 1, 1
?? 8
16
?? (1) ?? N-point Walsh transform ?,?????N ?
channels (2) ?? Walsh transform ??,??? orthogonal
transform ????? (3) ?? Walsh transform ???
17
  • ? Orthogonal Transform ????? ????
    synchronization
  • R1 1, 1, 1, 1, 1, 1, 1, 1
  • R2 1, 1, 1, 1, ?1, ?1, ?1, ?1
  • R5 1, ?1, ?1, 1, 1, ?1, ?1, 1
  • R8 1, ?1, 1, ?1, 1, ?1, 1, ?1
  •  
  • ???? basis, ???????? orthogonal
  • ltR1n, R1ngt 8, ltR1n, Rkngt 0 if k ?
    1
  • ltR1n, Rkn?1gt 2 or 0 if k ? 1.

18
  • Pseudorandom Sequence Type
  • ?? orthogonal,capacity ??
  • ??????? (asynchronous)
  • Pseudorandom Sequence ??? correlation
  • b1p(t ?1) b2p(t ?2)
  • recovered
  • (? C(0) 1, C(?2 ? ?1) ? 0)
  • ?1, ?2 ????

19
  • CDMA ???
  • (1) ?????? frequency division multiplexing ????
  • (2) ???? noise ? interference???
  • (3) ?????????????
  • (4) ??????????,?????????? recover ??
  • (5) ??????????????

20
?????,???????????,?????
B ?
A ?
?? A ???? orthogonal basis ? ?kn, k 0, 1, 2,
, N-1
B ???? orthogonal basis ? ?hn, h 0, 1, 2, ,
N-1
???
???
k 0, 1, 2, , N-1, h 0, 1, 2, , N-1
21
???? 3-D Accelerometer ???
3-D Accelerometer ?????,??????

????(?????????) ????????? ???????????????
?? ???? (???) ?? (??,???)
????,? Parkinson ????,??????
?? (??????,??????????)
22
z-axis
y-axis
x-axis
?? x, y, z ??????????,???????? ??????, z-axis
????? g 9.8
23
??????, z-axis ???????? 9.8, ?? x ? y ????????
0
24
???????????.
???,?????????????
25
?????
? ????????,?????,???????????? ???,??????? Fourier
transform,?? 1812 ???,????????,??
1822????????,????,??????????
? ?????????,????????
26
  • ?????????!
  •  
  • ????????????,???? digital signal processing ?
    time frequency analysis ?????,??????????
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