Jose Angel Martinez-Navarro

Tecnológico de Monterrey | ITESM · Campus Santa Fe

This article presents the findings of a bio-inspired audio emotion-detection system and compares its performance with various neural network approaches, namely spiking neural networks, convolutional neural networks, and multilayer perceptrons. The simulation results demonstrate the effectiveness of the proposed approach in accurately detecting audi...

Noise management associated with input signals in sensor devices arises as one of the main problems limiting robot control performance. This article introduces a novel neuromorphic filter model based on a leaky integrate and fire (LIF) neural model cell, which encodes the primary information from a noisy input signal and delivers an output signal w...

Introductory workshop to R.O.S

This work describes a novel method for encrypting gray-scale images using an associative approach. The image is divided in blocks which are used to build max and min Morphological associative memories. The key is private and it depends on the number of blocks. The main advantage of this method is that the cyphertext does not have the same size than...

This work describes a novel method for encrypting monochromatic images using an associative approach. The image is divided in blocks which are used to build max and min Alpha-Beta associative memories. The key is private and it depends on the number of blocks. The main advantage of this method is that the encrypted image does not have the same size...

This paper introduces a novel method for encrypting images with an associative approach. We use a symmetric cryptosystem. The encryption method divides the gray-scale image in n squares with which a Morphological Associative Memory is built. Then, the information from the image is stored in the array which represents the memory. The meaning of the...