Henrique K. Miyamoto

M.Sc. student


Information Geometry and Applications

I am currently studying Information Geometry under supervision of professor Sueli Costa at the Institute of Mathematics, Statistics and Scientific Computing (IMECC), Unicamp. Information Geometry consists in studying the intrinsic geometry of probability distributions — regarded as Riemannian manifolds — using the tools from differential geometry. We aim to apply these techniques to problems in signal processing and machine learning.

Context-tree-based compression for CSI feedback (more)

We propose a novel context-tree-based approach to compressing time-varying CSI for wireless communications. The proposed scheme combines lossy vector quantisation, by means of data-adapted companders, with lossless compression, based on symbol probabilities estimated by a context-tree model.

This project was developped under supervision of professor Sheng Yang, at the Laboratory of Signals and Systems (L2S), CentraleSupélec.


Spherical Codes by Hopf Foliations

Spherical codes are discrete sets of points on the surface of an Euclidean sphere, and have several applications in sicences and engineering. Problems with spherical codes involve finding optimal distributions of points relative to some parameter of interest (such as minimum distane between the points). We address the spherical packing problem by exploiting Hopf foliations in dimensions 2ᵏ, which yields a constructive method for spherical codes in such dimensions, for a given minimum distance.

This scientific initiation project was developped from 2016 to 2018 at the Institute of Mathematics, Statistics and Scientific Computing (IMECC), Unicamp, under supervision of professors Henrique Sá Earp and Sueli Costa. The project was supported by FAPESP as part of the thematic project Security and reliability of information: theory and practice of which professor Costa was one of the main researchers.

Journal paper
Conference papers

Secondary education

During secondary education, I was mainly involved with Educational Robotics.