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This course introduces the different properties and representations while going through common and state-of-the-art techniques associated with different image processing problems. The course introduces the principle aspects of fiber optic telecommunications. EMC tests and measurements, ppmethods of reducing the adverse effects of electromagnetic interference such as cabling, grounding, and shielding. This subject is aimed to provide second part of the introductory robotics knowledge for graduate students in Engineering. The course will focus on conventional power generation technology, i. This course helps graduate students understand the theoretical and practical aspects of wireless communication systems.

It discusses topics such as Chaos theory and concepts and Modeling chaotic behavior of a dynamical system. It deals with multi-processing and multi-programming; high level computer language array and different computer networks. Students are expected to do a synopsis of a published article as a midterm project, and an original term paper demonstrating an application of significant research interest. It comprises the fairly recent areas of evoluationary computing, fuzzy computing, neuro-computing, as well as some related machine learning processes. ECEM Advanced DSP and Filter Design Major This course deals with advanced analysis, design, and realization of digital filters; Fourier Transform algorithm implementations, finite wordlength arithmetic, fixed point implementation, limit cycles, noise shaping, decimation and interpolation, multi-rate filter design, Hilbert transformers, analytic signal generation, and basic adaptive filtering. This course deals with signal modelling, optimum filters, spectrum estimation, adaptive filters, and multirate signal processing.

Basic Subject 3 units Required COE Laasllian of Research A study of the fundamentals of research designs, analysis and interpretations of data, project feasibility studies, and qualitative research techniques COED Philosophy of Technology for PhD students only The course provides a focal point for the creators and doers of technology to examine critically and reflect upon the social influences of technology.

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Topics include perception of 3D scene structure from stereo, motion, and shading; image filtering, smoothing, edge detection; segmentation and grouping; texture analysis; learning, recognition, and search; tracking and motion estimation. As digital images grow in resolution, the amount of memory they consume likewise increase making the task of image compression equally as relevant today.

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It focuses on the Synthesis of Non-Linear Networks. It comprises the fairly recent areas of evoluationary computing, fuzzy computing, neuro-computing, as well as some related machine learning processes. This course advances the students to the application of fraction order calculus to control systems.

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This course covers topics on Telephone line modems, speech digitization and compression, voice mail, and speech synthesis. This is then followed by design issues related to synthesis, simulation mismatch and issues related to circuit implementation using standard cells library or Field Programmable Gate Arrays.

The foundation courses that a student should take may be reduced or waived; however, the student has to complete the units requirement by taking more elective subjects as substitute to the foundation courses. This course advances the student to the application of fraction order calculus to control systems.

This course is aimed to provide second part of the introductory robotics knowledge for graduate students in Engineering. The course will focus on conventional power generation technology, i. It course covers topics on Propagation at different frequencies; Transmission path Loss; rain attenuation; multipath fading; and analysis and design of antenna systems.

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The course will cover conventional and innovative power cycles for geothermal power generation to enable the student to model and compare the performances of the cycle.

Studies on actual derivation of equations describing the dynamics of the systems are discussed in order to model the real physical system.

Electronics & Communications Engineering Department

It focuses on inductive rule based methods based on rough set theory. By the end of the course, the student would have been able to design, simulate and implement the microprocessor core using a set of instructions as stimulus. The course presents both theory and applications to motivate the understanding by providing real-worl useful applications of Artificial Intelligence techniques. These include Fourer series, Laplace, Fouries Z, and Hilbert transforms; Bescel equations and functions; probabilities and random processes.

Covers Linear and no-linear models of active devices at low and high frequencies; Theory and design of wideband low-pass amplifiers; distributed amplifiers and large-signal amplifiers. This course has a computer laboratory component using Matlab.

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This course focuses on inductive rule based methods based on rough set theory. ECEM Advanced DSP and Filter Design Major This course deals with advanced analysis, design, and realization of digital filters; Fourier Transform algorithm implementations, finite wordlength arithmetic, fixed point implementation, limit cycles, noise shaping, decimation and interpolation, multi-rate filter design, Hilbert transformers, analytic signal generation, and basic adaptive filtering.

The introduction is completed by treating the following system related aspects: This course introduces the students to the science of cybernetics and its possible applications in designing systems. It introduces the students to the concept of semi-custom digital IC design.

Thesis Archive

The course focuses on image processing theory as well as graduatoon application of imaging in the design and implementation of systems for machine vision in the real world. Studies on Computer Graphics and Data Structures are emphasized. Studies on the robot kinematics and transformations are conducted. It introduces the students to the principles of metaheuristics in computational intelligence such as ant colony optimization, particle swarm optimization, simulated annealing, and genetic algorithms.

Thesis Archive – De La Salle University

This subject discusses the theories regarding linear systems. This subject is aimed to provide second part of the introductory robotics knowledge for graduate students in Engineering. This course helps graduate students understand the theoretical and practical aspects of AM, FM and Television broadcasting.

This course aims to educate students about developing intelligent machines through computer simulations and modelling. The students will the thought of the challenges of characterizing complex systems from Simple linear systems to Shift-invariant systems.

The students will first be oriented to the different parts of a microprocessor core namely:

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