Filtering the period and amplitude of a sine wave corrupted by noise Let $W$ be a standard Brownian motion and $\mathcal F_t$ its natural filtration.
Suppose $\theta, A$ are positive $L^1$ random variables independent of $\mathcal F_t$.
Let $Y_t$ be the process
$$Y_t := A \sin \, (\theta t) + W_t $$
and denote by $\mathcal Y_t$ its natural filtration.
Question: Is it true that $\mathbb E[A| \mathcal Y_t] \to A$, and $\mathbb E[\theta| \mathcal Y_t] \to \theta$ almost surely?
 A: By the Levy zero-one law, the question is equivalent to deciding whether $A$ and $\theta$ are measurable with respect to $\mathcal F_\infty$, the common refinement of all the $\mathcal F_t$. The answer is positive.
For $\alpha>0,\beta\ge 0$, consider
$$Z_n=Z_n(\alpha,\beta):=Y_{\beta+(2n+1)\alpha }-Y_{\beta+(2n-1)\alpha }=U_n+X_n$$
where, for $n=0,1,2,\ldots$, the sequence
$$U_n:=A\sin\Bigl(\theta (\beta+(2n+1)\alpha)\Bigr)-A\sin\Bigl(\theta (\beta+(2n-1)\alpha)\Bigr)=2A\sin(\alpha \theta) \cdot \cos(\theta\beta+2n\theta\alpha)$$
is an almost periodic sequence obtained as a function of the (zero entropy) rotation by angle $2\alpha\theta$, and
$$X_n:=W_{\beta+(2n+1)\alpha }-W_{\beta+(2n-1)\alpha }$$
is a sequence of i.i.d. Gaussian variables with mean 0 and variance $2\alpha$.
In [1], H. Furstenberg defined disjointness of dynamical systems and proved in Theorem I.2 that i.i.d. processes and zero-entropy processes are disjoint.
In Theorem 1.5 of the same paper, he showed that if $(U_n)_{n \ge 1}$ and $(X_n)_{n \ge 1}$ are sequences
of integrable real random variables which define two disjoint stationary
processes, then the sum sequence $(U_n+X_n)_{n \ge 1}$ determines $(U_n)_{n \ge 1}$.
A generalization is in Theorem 7 of [2].
In particular, from the sequence $\{Z_n(\alpha,\beta)\}_{n \ge 1}$ we can obtain
$(U_n)_{n \ge 1}$ =$(U_n(\alpha,\beta))_{n \ge 1}$ for every $\alpha$ and a.e. $\beta$, and using continuity, for all $\beta$. Then $\theta=\pi/(4\alpha_*)$, where
$\alpha_*=\min\{\alpha>0: U_1(\alpha,0)=0\}$ and then $A$ is easy to determine.
Theorem 1.6 in [3] gives another proof.
For an elementary direct argument,
define the deterministic function $f_0(\alpha)=\lim_n \frac{1}{n}\sum_{k=1}^n Z_n(\alpha,0)^2$
and observe that the smallest positive $\alpha$ where $f_0(\alpha)\alpha^{-2}$ is minimized
is $\alpha_{min}=\pi/\theta$. Moreover,  $$f_0(\alpha_{min}/2)=4A^2+\alpha_{min}$$
which yields $A$.
[1] H. Furstenberg (1967), Disjointness in ergodic theory, minimal sets, and a problem in
Diophantine approximation, Math. systems theory 1,  pp. 1-49.
https://mathweb.ucsd.edu/~asalehig/F_Disjointness.pdf
[2] Furstenberg, Hillel, Yuval Peres, and Benjamin Weiss. "Perfect filtering and double disjointness." In Annales de l'IHP Probabilités et statistiques, vol. 31, no. 3, pp. 453-465. 1995.http://www.numdam.org/article/AIHPB_1995__31_3_453_0.pdf
[3] Lev, Nir, Ron Peled, and Yuval Peres. "Separating signal from noise." Proceedings of the London Mathematical Society 110, no. 4 (2015): 883-931.
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.749.2820&rep=rep1&type=pdf
