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Numerous real-world application examples are featured within each chapter including architectures fromTexas Instruments, Motorola, and Analog Devices. With its compounded coverage of both analog and digital signal processing techniques, this book provides engineers with the knowledge they need to understand the analog basis of modern digital signal processing techniques and construct architectures for modern systems.

Additional Product Features Dewey Edition. Introduction What are Signals? Signal parameters Why Signal processing? Analog vs. Analog Signal Processing. Analog Filter Design.

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Data Converters. Digital Signal Processing. Digital Filter Design. Multi Rate Signal Processing. Discrete Transforms. Digital Signal Processors. Digital Signal Processing Systems.

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  8. Corequisite: EEL This course examines basic concepts of radar systems including radar range equation, radar cross-section calculations, random processes and noise, array antennas, beamsteering, doppler and range processing, FM and CW systems, pulse compression, synthetic aperture radar, and clutter. EEL L. This is an introductory laboratory for students entering the electrical and computer engineering programs. The basic topics include: lab safety issues; solving engineering problems using software tools such as MATLAB and Mathematica; electric circuit simulations using c software packages such as Multisim and OrCAD; electric circuit design and instrumentation; the proper use of test and measurement equipment.

    EEL Introduction to Electrical Engineering 3. This course is an introduction to electrical engineering concepts for non-electrical engineering majors. Covers a broad range of topics including basic circuit theory, semiconductor devices, instrumentation, amplifiers, and machines.

    Introduction to Electrical Engineering Laboratory 1. This laboratory supports EEL Must be taken concurrently with first enrollment in EEL Must be dropped if EEL is dropped. Introductory Circuit Analysis 3. Prerequisite: MAC This course explores topics such as current, voltage, and power; resistors, inductors, and capacitors; network theorems and laws; operational amplifiers, phasors; impedances; sinusoidal steady-state analysis.

    Advanced Circuits with Computers 3. This course examines sinusoidal steady-state power analysis; three-phase circuits; transient and forced response; frequency response; two-port networks; circuit analysis with computers. Advanced Circuits with Computers Laboratory 1. This lab includes instrumentation and measuring techniques; current, voltage, and power measurements; response of passive circuits; AC and DC design; computer application. Signal and Linear System Analysis 3. This course focuses on the classification and representation of signals and systems; Laplace transform; Z-transform; convolution; state variable techniques; stability and feedback.

    Fundamentals of Power Systems 3. This course is an introduction to the fundamentals of energy conversion; structure of power systems; and power system components: transformers, rotating machines, and transmission lines. The operation and analysis of power systems are presented. Electromagnetic Fields I 3. The steady electric current. Quasistatic fields; electromagnetic induction. Electromagnetic Fields II 3. Introduction to Communications 3. Digital Logic Design 3. Prerequisite: COP This course covers fundamental topics in digital logic design, algorithms, computer organization, assembly-language programming, and computer engineering technology.

    Digital Logic Laboratory 1. Engineering Design Concepts 3. Students are exposed to the concepts in design, project management, engineering team organization, and professionalism. Periodic written reports are required and used to satisfy the upper division writing UDW competency. The lecture material and texts provide instructions on technical writing, project management, ethics, and design skills.

    OPENING SPEECH

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    Introduction to random processes.

    Opening and Plenary Speeches

    Multiple random variables. Elements of statistics: parameter estimation and hypothesis testing. Advanced Linear Networks 3. This course explores topics such as synthesis of LC one-port networks, synthesis of LC two-port networks; operational amplifier applications; active filters; approximation methods; switched-capacitor filters. Power Systems I 3. This course focuses on the analysis of electric power systems using system modeling for large-scale power networks; admittance and impedance matrix formation; power flow; optimal dispatch; symmetrical components; balanced and unbalanced fault analysis; and transient stability studies.

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    Renewable Energy Generation I 3. This course is an introduction to renewable energy generation. Topics covered include smart grid system, hybrid electric vehicle, and grid-connected PV inverters. Emphasis is placed on the energy conversion techniques applied in the renewable energy source and energy storage elements. Renewable Energy Generation II 3.

    Emphasis is placed on the energy conversion techniques applied in the renewable energy storage elements. Sonar 3. This course introduces basic concepts of sonar systems including acoustic propagation, transducers and projectors, target strength, reverberation, beamsteering, beamforming, beampatterns, and synthetic aperture sonar.

    Applied Signal Processing: Concepts, Circuits, and Systems by Hamdy, Nadder

    Electromagnetics Laboratory 1. This course focuses on the applications of electromagnetic field theory. Experiments include field mapping, transmission lines, spectrum analysis, impedance matching, waveguides, antennas, radar, and fiber optics. Optoelectronics and Optical Systems 3. This course examines the theory and applications of optical techniques in modern electronics and communications.

    Includes a study of optical fibers, sources, detectors, optical communication systems, integrated optics, holography, and principles of optical signal processing.

    Optical Sensors 3. This course examines the basic concepts of optical sensors and essential optics. Topics include intensity, phase, and frequency modulated optical fiber sensors and their applications, distributive sensing systems, and optical fibers in signal processing.