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The homework assignment for a university course on electrical and computer engineering (ece), specifically ece 802-601, from spring 2008. The assignment covers topics such as orthonormal bases, linear independence, gram-schmidt orthogonalization, inner products, unitary transforms, and parseval's theorem. Students are required to complete problems involving square integrable functions, symmetric and antisymmetric functions, and fourier transforms.
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ECE 802-601 Homework 1 Spring 2008 Due January 29, 2008
and the associated othonormal basis given by , 1 , 2 ,... 2
sin( ) , 2
cos( ) , 2
n nx nx
where f (^) s ( x )∈ S , fa ( x )∈ A.
b) Give orthonormal bases for S and A.
b) Write a MATLAB function that implements the Gram-Schmidt orthogonalization
finite or countably infinite set of linearly independent vectors , we can construct an
orthonormal set with the same span as follows:
y i x i
0 (^0) y
y x =.
1 1 0 0 1 ,
y y x x
y y x x x −< >
k
i
k k i k k
k k k v y x x y v
y v x = < > −
−
=
1
0
a) Prove the general Parseval’s theorem, for any
in a vector space and an orthonormal basis,
i
y y y x y x
b) Using the result in part (a), show that
c) For ( / )
sin( / ) ( ) t T
t T hT t
will explore this option using a simplified algorithm. Let be the spectrogram
computed using the window function. For the following quadratic
chirp test signal,
g (^) j ( t )= 2 − j /^2 g ( 2 − jt )
t=-2:0.001:2; y=chirp(t,100,1,200,'q'); compute the STFT at four different scales and then choose the best scale for each time-
‘best’ points from each spectrogram to form your final synthesized time-frequency representation. Summarize your observations on how the choice of the ‘best’ scale changes across time and frequency.