Difference between revisions of "Aufgaben:Exercise 4.1: About the Gram-Schmidt Process"
m (Guenter moved page Eercise 4.1: About the Gram-Schmidt Method to Eercise 4.1: About the Gram-Schmidt Process) |
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[[File:P_ID1994__Dig_A_4_1.png|right|frame|Specification for the Gram-Schmidt process]] | [[File:P_ID1994__Dig_A_4_1.png|right|frame|Specification for the Gram-Schmidt process]] | ||
− | For the four signals s1(t),...,s4(t) defined by the figure, the three resulting basis functions φ1(t), φ2(t) and φ3(t) are to be determined by applying the Gram-Schmidt process, so that for the signals with i=1,...,4 can be written: | + | For the four signals s1(t),...,s4(t) defined by the figure, the three resulting basis functions φ1(t), φ2(t) and φ3(t) are to be determined by applying the Gram-Schmidt process, so that for the signals with i=1,...,4 can be written: |
:si(t)=si1⋅φ1(t)+si2⋅φ2(t)+si3⋅φ3(t). | :si(t)=si1⋅φ1(t)+si2⋅φ2(t)+si3⋅φ3(t). | ||
− | *In subtask '''(1)''', let A2=1 mW and T = 1 \ \rm µ s. | + | *In subtask '''(1)''', let A2=1 mW and T = 1 \ \rm µ s. |
− | *In the later subtasks, the amplitude and the time are normalized quantities | + | |
− | *Thus, both the coefficients sij and the basis functions φj(t) | + | *In the later subtasks, the amplitude and the time are normalized quantities: A=1, T=1. |
− | + | ||
+ | *Thus, both the coefficients sij and the basis functions φj(t) (with $j = 1,\ 2,\ 3)$ are dimensionless quantities. | ||
+ | Notes: | ||
+ | *The exercise belongs to the chapter [[Digital_Signal_Transmission/Signals,_Basis_Functions_and_Vector_Spaces|"Signals, Basis Functions and Vector Spaces"]]. | ||
− | |||
− | |||
*Reference is made in particular to the sections [[Digital_Signal_Transmission/Signals,_Basis_Functions_and_Vector_Spaces#Orthonormal_basis_functions|"Orthonormal basis functions"]] and [[Digital_Signal_Transmission/Signals,_Basis_Functions_and_Vector_Spaces#The_Gram-Schmidt_process|"Gram-Schmidt process"]]. | *Reference is made in particular to the sections [[Digital_Signal_Transmission/Signals,_Basis_Functions_and_Vector_Spaces#Orthonormal_basis_functions|"Orthonormal basis functions"]] and [[Digital_Signal_Transmission/Signals,_Basis_Functions_and_Vector_Spaces#The_Gram-Schmidt_process|"Gram-Schmidt process"]]. | ||
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+ The coefficients sij have the unit √Ws. | + The coefficients sij have the unit √Ws. | ||
− | {Perform the first step of the Gram-Schmidt process. As for the other tasks, let A=1 and T=1 hold. | + | {Perform the first step of the Gram-Schmidt process. As for the other tasks, let A=1 and T=1 hold. |
|type="{}"} | |type="{}"} | ||
s11 = { 1.414 3% } | s11 = { 1.414 3% } | ||
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===Solution=== | ===Solution=== | ||
{{ML-Kopf}} | {{ML-Kopf}} | ||
− | '''(1)''' <u>Solutions 2 and 4</u> are correct: | + | '''(1)''' <u>Solutions 2 and 4</u> are correct: |
− | *Every orthonormal basis function should have energy 1, that is, it must hold: | + | *Every orthonormal basis function should have energy $1$, that is, it must hold: |
:$$||\varphi_j(t)||^2 = \int_{-\infty}^{+\infty}\varphi_j(t)^2\,{\rm d} t = 1 | :$$||\varphi_j(t)||^2 = \int_{-\infty}^{+\infty}\varphi_j(t)^2\,{\rm d} t = 1 | ||
\hspace{0.05cm}.$$ | \hspace{0.05cm}.$$ | ||
− | *For this condition to be satisfied, the basis function must have unit √s. Another equation to be considered is | + | *For this condition to be satisfied, the basis function must have unit √s. |
+ | *Another equation to be considered is | ||
:si(t)=N∑j=1sij⋅φj(t). | :si(t)=N∑j=1sij⋅φj(t). | ||
− | *Like A, the signals themselves have the unit √W. Because of the unit √1/s of φj(t), this equation can be satisfied with the correct dimension only if the coefficients sij are given with the unit √Ws. | + | *Like the parameter A, the signals themselves have the unit √W. |
+ | *Because of the unit √1/s of φj(t), this equation can be satisfied with the correct dimension only if the coefficients sij are given with the unit √Ws. | ||
− | '''(2)''' The energy of the signal s1(t) is equal to E1=2. It follows for the norm, the basis function φ1(t) and the coefficient s11: | + | '''(2)''' The energy of the signal s1(t) is equal to E1=2. |
+ | *It follows for the norm, the basis function φ1(t) and the coefficient s11: | ||
:$$||s_1(t)|| = \sqrt{2},\hspace{0.9cm}\varphi_1(t) = \frac{s_1(t)}{||s_1(t)||},\hspace{0.9cm} | :$$||s_1(t)|| = \sqrt{2},\hspace{0.9cm}\varphi_1(t) = \frac{s_1(t)}{||s_1(t)||},\hspace{0.9cm} | ||
s_{11} = \sqrt{E_1} = \sqrt{2} \hspace{0.1cm}\hspace{0.15cm}\underline { {\approx 1.414} } | s_{11} = \sqrt{E_1} = \sqrt{2} \hspace{0.1cm}\hspace{0.15cm}\underline { {\approx 1.414} } | ||
\hspace{0.05cm}.$$ | \hspace{0.05cm}.$$ | ||
− | + | *The other coefficients are s12=s13=0_, since the associated basis functions have not been found at all yet, while φ1(t) is equal in form to s1(t). | |
− | The other coefficients are s12=s13=0_, since the associated basis functions have not been found at all yet, while φ1(t) is equal in form to s1(t). | ||
− | '''(3)''' Since at most two basis functions are found after considering s2(t) | + | '''(3)''' Since at most two basis functions are found after considering s2(t) ⇒ s23=0_ holds with certainty. On the other hand one obtains |
+ | *for the coefficient | ||
:$$||s_1(t)|| = \sqrt{2},\hspace{0.9cm}\varphi_1(t) = \frac{s_1(t)}{||s_1(t)||},\hspace{0.9cm} | :$$||s_1(t)|| = \sqrt{2},\hspace{0.9cm}\varphi_1(t) = \frac{s_1(t)}{||s_1(t)||},\hspace{0.9cm} | ||
s_{11} = \sqrt{E_1} = \sqrt{2} \hspace{0.1cm}\hspace{0.15cm}\underline { {\approx 1.414} } | s_{11} = \sqrt{E_1} = \sqrt{2} \hspace{0.1cm}\hspace{0.15cm}\underline { {\approx 1.414} } | ||
\hspace{0.05cm};$$ | \hspace{0.05cm};$$ | ||
− | for the auxiliary function θ2(t): | + | *for the auxiliary function θ2(t): |
:$$\theta_2(t) = s_2(t) - s_{21} \cdot \varphi_1(t) = \left\{ \begin{array}{c} 1 - 0.707 \cdot 0.707 = 0.5\\ | :$$\theta_2(t) = s_2(t) - s_{21} \cdot \varphi_1(t) = \left\{ \begin{array}{c} 1 - 0.707 \cdot 0.707 = 0.5\\ | ||
0 - 0.707 \cdot (-0.707) = 0.5 \end{array} \right.\quad | 0 - 0.707 \cdot (-0.707) = 0.5 \end{array} \right.\quad | ||
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\hspace{0.05cm}; $$ | \hspace{0.05cm}; $$ | ||
− | for the second basis function: | + | *for the second basis function: |
:$$\varphi_2(t) = \frac{\theta_2(t)}{||\theta_2(t)||},\hspace{0.2cm} | :$$\varphi_2(t) = \frac{\theta_2(t)}{||\theta_2(t)||},\hspace{0.2cm} | ||
||\theta_2(t)|| = \sqrt{0.5^2 + 0.5^2} = \sqrt{0.5} \approx 0.707$$ | ||\theta_2(t)|| = \sqrt{0.5^2 + 0.5^2} = \sqrt{0.5} \approx 0.707$$ | ||
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\hspace{0.05cm}; $$ | \hspace{0.05cm}; $$ | ||
− | and finally for the second coefficient | + | *and finally for the second coefficient |
:$$s_{22} = \hspace{0.1cm} < \hspace{-0.1cm} s_2(t), \hspace{0.1cm}\varphi_2(t) \hspace{-0.1cm} > \hspace{0.1cm} = 1 \cdot 0.707 + 0 \cdot 0.707 \hspace{0.1cm}\hspace{0.15cm}\underline { = 0.707} | :$$s_{22} = \hspace{0.1cm} < \hspace{-0.1cm} s_2(t), \hspace{0.1cm}\varphi_2(t) \hspace{-0.1cm} > \hspace{0.1cm} = 1 \cdot 0.707 + 0 \cdot 0.707 \hspace{0.1cm}\hspace{0.15cm}\underline { = 0.707} | ||
\hspace{0.05cm}.$$ | \hspace{0.05cm}.$$ | ||
+ | [[File:P_ID1995__Dig_A_4_1c.png|right|frame|Gram-Schmidt calculations]] | ||
The calculations are illustrated in the graph below. | The calculations are illustrated in the graph below. | ||
− | |||
− | '''(4)''' It can be seen immediately that s3(t) can be expressed as a linear combination of s1(t) and s2(t). | + | '''(4)''' It can be seen immediately that s3(t) can be expressed as a linear combination of s1(t) and s2(t). |
− | :$$s_{3}(t) = -s_{1}(t) + s_{2}(t) | + | :$$s_{3}(t) = -s_{1}(t) + s_{2}(t),$$ |
+ | :$$s_{31} \hspace{-0.1cm} \ = \ \hspace{-0.1cm} - s_{11} + s_{21} = -1.414 + 0.707 = \hspace{0.1cm}\hspace{0.15cm}\underline {-0.707}\hspace{0.05cm},$$ | ||
:s32 = −s12+s22=0+0.707=0.707_, | :s32 = −s12+s22=0+0.707=0.707_, | ||
:s33 = −s13+s23=0+0=0_. | :s33 = −s13+s23=0+0=0_. | ||
− | '''(5)''' The range 2 ≤ t ≤ 3 is not covered by | + | '''(5)''' The range 2 ≤ t ≤ 3 is not covered by φ1(t) and φ2(t). |
+ | *Therefore, s4(t) provides the new basis function φ3(t). | ||
+ | *Since s4(t) has components only in the range 2 ≤ t ≤ 3 and ||s4(t)||=1, we obtain φ3(t)=s4(t) as well as | ||
:s41=0_,s42=0_,s43=1_. | :s41=0_,s42=0_,s43=1_. | ||
{{ML-Fuß}} | {{ML-Fuß}} |
Latest revision as of 14:56, 13 July 2022
For the four signals s1(t),...,s4(t) defined by the figure, the three resulting basis functions φ1(t), φ2(t) and φ3(t) are to be determined by applying the Gram-Schmidt process, so that for the signals with i=1,...,4 can be written:
- si(t)=si1⋅φ1(t)+si2⋅φ2(t)+si3⋅φ3(t).
- In subtask (1), let A2=1 mW and T = 1 \ \rm µ s.
- In the later subtasks, the amplitude and the time are normalized quantities: A = 1, T = 1.
- Thus, both the coefficients s_{\it ij} and the basis functions \varphi_{\it j}(t) (with j = 1,\ 2,\ 3) are dimensionless quantities.
Notes:
- The exercise belongs to the chapter "Signals, Basis Functions and Vector Spaces".
- Reference is made in particular to the sections "Orthonormal basis functions" and "Gram-Schmidt process".
Questions
Solution
- Every orthonormal basis function should have energy 1, that is, it must hold:
- ||\varphi_j(t)||^2 = \int_{-\infty}^{+\infty}\varphi_j(t)^2\,{\rm d} t = 1 \hspace{0.05cm}.
- For this condition to be satisfied, the basis function must have unit \rm \sqrt{\rm s}.
- Another equation to be considered is
- s_i(t) = \sum\limits_{j = 1}^{N}s_{ij} \cdot \varphi_j(t).
- Like the parameter A, the signals themselves have the unit \rm \sqrt{\rm W}.
- Because of the unit \rm \sqrt{\rm 1/s} of \varphi_{ j}(t), this equation can be satisfied with the correct dimension only if the coefficients s_{\it ij} are given with the unit \rm \sqrt{\rm Ws}.
(2) The energy of the signal s_1(t) is equal to E_1 = 2.
- It follows for the norm, the basis function \varphi_1(t) and the coefficient s_{\rm 11}:
- ||s_1(t)|| = \sqrt{2},\hspace{0.9cm}\varphi_1(t) = \frac{s_1(t)}{||s_1(t)||},\hspace{0.9cm} s_{11} = \sqrt{E_1} = \sqrt{2} \hspace{0.1cm}\hspace{0.15cm}\underline { {\approx 1.414} } \hspace{0.05cm}.
- The other coefficients are \underline {s_{\rm 12} = s_{\rm 13} = 0}, since the associated basis functions have not been found at all yet, while \varphi_1(t) is equal in form to s_1(t).
(3) Since at most two basis functions are found after considering s_2(t) ⇒ s_{\rm 23} \hspace{0.15cm} \underline{= 0} holds with certainty. On the other hand one obtains
- for the coefficient
- ||s_1(t)|| = \sqrt{2},\hspace{0.9cm}\varphi_1(t) = \frac{s_1(t)}{||s_1(t)||},\hspace{0.9cm} s_{11} = \sqrt{E_1} = \sqrt{2} \hspace{0.1cm}\hspace{0.15cm}\underline { {\approx 1.414} } \hspace{0.05cm};
- for the auxiliary function \theta_2(t):
- \theta_2(t) = s_2(t) - s_{21} \cdot \varphi_1(t) = \left\{ \begin{array}{c} 1 - 0.707 \cdot 0.707 = 0.5\\ 0 - 0.707 \cdot (-0.707) = 0.5 \end{array} \right.\quad \begin{array}{*{1}c} 0 \le t < 1 \\ 1 \le t < 2 \\ \end{array} \hspace{0.05cm};
- for the second basis function:
- \varphi_2(t) = \frac{\theta_2(t)}{||\theta_2(t)||},\hspace{0.2cm} ||\theta_2(t)|| = \sqrt{0.5^2 + 0.5^2} = \sqrt{0.5} \approx 0.707
- \Rightarrow \hspace{0.3cm} \varphi_2(t) = \left\{ \begin{array}{c} 0.5/0.707 = 0.707\\ 0 \end{array} \right.\quad \begin{array}{*{1}c} 0 \le t < 2 \\ 2 \le t < 3 \\ \end{array} \hspace{0.05cm};
- and finally for the second coefficient
- s_{22} = \hspace{0.1cm} < \hspace{-0.1cm} s_2(t), \hspace{0.1cm}\varphi_2(t) \hspace{-0.1cm} > \hspace{0.1cm} = 1 \cdot 0.707 + 0 \cdot 0.707 \hspace{0.1cm}\hspace{0.15cm}\underline { = 0.707} \hspace{0.05cm}.
The calculations are illustrated in the graph below.
(4) It can be seen immediately that s_3(t) can be expressed as a linear combination of s_1(t) and s_2(t).
- s_{3}(t) = -s_{1}(t) + s_{2}(t),
- s_{31} \hspace{-0.1cm} \ = \ \hspace{-0.1cm} - s_{11} + s_{21} = -1.414 + 0.707 = \hspace{0.1cm}\hspace{0.15cm}\underline {-0.707}\hspace{0.05cm},
- s_{32} \hspace{-0.1cm} \ = \ \hspace{-0.1cm} - s_{12} + s_{22} = 0 + 0.707 \hspace{0.1cm}\underline {= 0.707}\hspace{0.05cm},
- s_{33} \hspace{-0.1cm} \ = \ \hspace{-0.1cm} - s_{13} + s_{23} = 0 + 0 \hspace{0.1cm}\underline {= 0}\hspace{0.05cm}.
(5) The range 2 ≤ t ≤ 3 is not covered by \varphi_1(t) and \varphi_2(t).
- Therefore, s_4(t) provides the new basis function \varphi_3(t).
- Since s_4(t) has components only in the range 2 ≤ t ≤ 3 and ||s_4(t)|| = 1, we obtain \varphi_3(t) = s_4(t) as well as
- s_{41} \hspace{0.1cm}\hspace{0.15cm}\underline {= 0}, \hspace{0.2cm}s_{42} \hspace{0.1cm}\hspace{0.15cm}\underline {= 0}, \hspace{0.2cm}s_{43} \hspace{0.1cm}\hspace{0.15cm}\underline { = 1} \hspace{0.05cm}.