--- title: "Cauchy wavelet" chunk: 2/2 source: "https://en.wikipedia.org/wiki/Cauchy_wavelet" category: "reference" tags: "science, encyclopedia" date_saved: "2026-05-05T07:23:27.637906+00:00" instance: "kb-cron" --- f ( t ) = ∑ n = − ∞ ∞ L n ( f ) e j n t {\displaystyle f(t)=\sum _{n=-\infty }^{\infty }L_{n}(f)e^{jnt}} . and in fact we have Parseval's identity | | f | | 2 = ∑ n = − ∞ ∞ | L n ( f ) | 2 {\displaystyle ||f||^{2}=\sum _{n=-\infty }^{\infty }|L_{n}(f)|^{2}} . where | | f | | 2 = 1 2 π ∫ − π π | f ( t ) | 2 d t {\displaystyle ||f||^{2}={\frac {1}{2\pi }}\int _{-\pi }^{\pi }|f(t)|^{2}\,dt} i.e. the norm defined in L 2 ( [ − π , π ] ) {\displaystyle L^{2}([-\pi ,\pi ])} . Hence, in this example, the index set I {\displaystyle I} is the integer Z {\displaystyle \mathbb {Z} } , the vector space V {\displaystyle V} is L 2 ( [ − π , π ] ) {\displaystyle L^{2}([-\pi ,\pi ])} and the linear form L n {\displaystyle L_{n}} is the Fourier coefficient. Furthermore, the absolute value of Fourier coefficients { | L n ( f ) | } n ∈ Z {\displaystyle \{|L_{n}(f)|\}_{n\in \mathbb {Z} }} can only determine the norm of f {\displaystyle f} defined in L 2 ( [ − π , π ] ) {\displaystyle L^{2}([-\pi ,\pi ])} . === Unicity Theorem of the reconstruction === Firstly, we define the Cauchy wavelet transform as: W ψ p [ x ( t ) ] ( a , b ) = 1 b ∫ − ∞ ∞ x ( t ) ψ p ( t − a b ) ¯ d t {\displaystyle W_{\psi _{p}}[x(t)](a,b)={\frac {1}{b}}\int _{-\infty }^{\infty }x(t){\overline {\psi _{p}({\frac {t-a}{b}})}}\,dt} . Then, the theorem is: Theorem. For a fixed p > 0 {\displaystyle p>0} , if exist two different numbers b 1 , b 2 > 0 {\displaystyle b_{1},b_{2}>0} and the Cauchy wavelet transform defined as above. Then, if there are two real-valued functions f , g ∈ L 2 ( R ) {\displaystyle f,g\in L^{2}(\mathbb {R} )} satisfied | W ψ p [ f ( t ) ] ( a , b 1 ) | = | W ψ p [ g ( t ) ] ( a , b 1 ) | {\displaystyle |W_{\psi _{p}}[f(t)](a,b_{1})|=|W_{\psi _{p}}[g(t)](a,b_{1})|} , ∀ a ∈ R {\displaystyle \forall a\in \mathbb {R} } and | W ψ p [ f ( t ) ] ( a , b 2 ) | = | W ψ p [ g ( t ) ] ( a , b 2 ) | {\displaystyle |W_{\psi _{p}}[f(t)](a,b_{2})|=|W_{\psi _{p}}[g(t)](a,b_{2})|} , ∀ a ∈ R {\displaystyle \forall a\in \mathbb {R} } , then there is a α ∈ R {\displaystyle \alpha \in \mathbb {R} } such that f + ( t ) = e j α g + ( t ) {\displaystyle f_{+}(t)=e^{j\alpha }g_{+}(t)} . f + ( t ) = e j α g + ( t ) {\displaystyle f_{+}(t)=e^{j\alpha }g_{+}(t)} implies that R e { f + ( t ) } = R e { e j α g + ( t ) } ⟹ f ( t ) = cos ⁡ α g ( t ) − sin ⁡ α g H ( t ) {\displaystyle Re\{f_{+}(t)\}=Re\{e^{j\alpha }g_{+}(t)\}\implies f(t)=\cos {\alpha }g(t)-\sin {\alpha }g_{H}(t)} and I m { f + ( t ) } = I m { e j α g + ( t ) } ⟹ f H ( t ) = sin ⁡ α g ( t ) + cos ⁡ α g H ( t ) {\displaystyle Im\{f_{+}(t)\}=Im\{e^{j\alpha }g_{+}(t)\}\implies f_{H}(t)=\sin {\alpha }g(t)+\cos {\alpha }g_{H}(t)} . Hence, we get the relation f ( t ) = ( cos ⁡ α − sin ⁡ α tan ⁡ α ) g ( t ) − tan ⁡ α f H ( t ) {\displaystyle f(t)=(\cos {\alpha }-\sin {\alpha }\tan {\alpha })g(t)-\tan {\alpha }f_{H}(t)} and f ( t ) , g H ( t ) ∈ s p a n { f H ( t ) , g ( t ) } = s p a n { f ( t ) , f H ( t ) } = s p a n { g ( t ) , g H ( t ) } {\displaystyle f(t),g_{H}(t)\in span\{f_{H}(t),g(t)\}=span\{f(t),f_{H}(t)\}=span\{g(t),g_{H}(t)\}} . Back to the phase retrieval problem, in the Cauchy wavelet transform case, the index set I {\displaystyle I} is R × { b 1 , b 2 } {\displaystyle \mathbb {R} \times \{b_{1},b_{2}\}} with b 1 ≠ b 2 {\displaystyle b_{1}\neq b_{2}} and b 1 , b 2 > 0 {\displaystyle b_{1},b_{2}>0} , the vector space V {\displaystyle V} is L 2 ( R ) {\displaystyle L^{2}(\mathbb {R} )} and the linear form L ( a , b ) {\displaystyle L_{(a,b)}} is defined as L ( a , b ) ( f ) = W ψ p [ f ( t ) ] ( a , b ) {\displaystyle L_{(a,b)}(f)=W_{\psi _{p}}[f(t)](a,b)} . Hence, { | L ( a , b ) ( f ) | } a , b ∈ R × { b 1 , b 2 } {\displaystyle \{|L_{(a,b)}(f)|\}_{a,b\in \mathbb {R} \times \{b_{1},b_{2}\}}} determines the two dimensional subspace s p a n { f , f H } {\displaystyle span\{f,f_{H}\}} in L 2 ( R ) {\displaystyle L^{2}(\mathbb {R} )} . == References ==