Many concepts that are used in multi{dimensional signal processing are derived from one{dimensional signal processing. As a consequence , they are only suited to multi{dimensional signals which are intrinsically one{dimensional. We claim that this restriction is due to the restricted algebraic frame used in signal processing, especially to the use of the complex numbers in the frequency domain....

Hilbert Huang Transform is a new developed method for signal processing especially suitable for non-stationary signal processing. In this paper, we propose a two dimensional Hilbert-Huang Transform based on Bidimensional Empirical Mode Decomposition (BEMD) and quaternionic analytic signal. Bidimensional Empirical Mode Decomposition is adaptive signal decomposition method and its decomposition r...

Change in the socio-economic status of urban neighbourhoods is a complex phenomenon with multiple space, time, and attribute dimensions. The objective of this research was to explore the use of a SelfOrganizing Map (SOM) to visualize patterns of urban social change. In a case study, we collected, organized, and joined data from the 1996, 2001, and 2006 Canadian Census for the City of Toronto. U...

The novel approach was developed for multilevel signal detection in channels with impulsive nonGaussian noise. This approach consists of using morphological nonlinear image filtration principles for two dimensional signals. It is a new method of signal demodulation, using three dimensional image processing algorithms. Successful results of this morphologic detector encourage more investigation ...

The novel approach was developed for multilevel signal detection in channels with impulsive nonGaussian noise. This approach consists of using morphological nonlinear image filtration principles for two dimensional signals. It is a new method of signal demodulation, using three dimensional image processing algorithms. Successful results of this morphologic detector encourage more investigation ...

In this paper we introduce two innovative image and video watermarking algorithms. The paper’s main emphasis is on the use of chaotic maps to boost the algorithms’ security and resistance against attacks. By encrypting the watermark information in a one dimensional chaotic map, we make the extraction of watermark for potential attackers very hard. In another approach, we select embedding po...

An inspection of signal processing approach in order to estimate underwater network cardinalities is conducted in this research. A matter of key prominence for underwater network is its cardinality estimation as the number of active cardinalities varies several times due to numerous natural and artificial reasons due to harsh underwater circumstances. So, a proper estimation technique is mandat...