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Digital Signal Processing – Essentials of Advanced TechniquesA Practical, In-Depth, Intuitive Approach for Working Engineers Course # E136NEW!SummaryThe goal of this 3-day course is to expand and build on thebasic DSP methods with advanced topics and techniques thatare used in modern DSP applications. For both the basic andadvanced topics, we build a deep, intuitive, conceptualunderstanding that goes beyond “plugging in” equations andis of proven value in designing and using practical DSPsystems.The concepts are first presented using many colorful, clearfigures along with plain English explanations and real-worldexamples. They are next demonstrated using the freeMATLAB programs (with graphics) which can be modified oradapted later by the student. This way the student sees thekey equations “in action” which increases intuitiveunderstanding and learning speed.Each student will receive a copy of the new book “TheEssential Guide to Digital Signal Processing” (a $40 value) byRichard G. Lyons and D. Lee Fugal (your instructor). Acomprehensive set of lecture notes and a CD containingMATLAB m-files, color course slides, and additional PDF fileswill also be provided.NOTE: A laptop is convenient to see course materials incolor but is NOT a requirement for this course.InstructorD. Lee Fugal is President of S&ST Technical Consulting–providingguidance and solutionsto high-technology firms since 1991. Heholds a Masters in Applied Physics(DSP) and is Chairman of the San DiegoIEEE Signal Processing Society. He isthe author of “Conceptual Wavelets inDigital Signal Processing” and the co-authorwith Richard Lyons of “The EssentialGuide to Digital Signal Processing”.Drawing on more than 30 years of industry experience,Lee teaches upper-division university courses in DSPand short courses for working engineers at various venuesaround the country. An IEEE Senior Member, he isa recipient of the IEEE Third Millennium Medal.What You Will Learn• How to recognize and avoid common DSP pitfalls throughan increased, intuitive understanding of Sampling, FourierTransforms, Filtering, Convolution, and Correlation.• How to confidently (and correctly) use more advanced DSPtechniques such as Optimal and Matched Filtering, HilbertTransforms, Multirate Systems, Multiresolution, andTime/Frequency methods (including Wavelets).• How to understand and implement advanced DSPapplications such as Cross Ambiguity Functions (CAFs),Stochastic Resonance, Harmonics/Intermodulation,Orthogonal Frequency Division Multiplexing (OFDM), andCommunications Multiple Access Methods.• How to utilize selected DSP “Tips and Tricks” for faster andmore efficient signal processing along with market-specifichints.This course is different from the typical Applied MathematicsDSP courses in that it is an in-depth, comprehensivetreatment but from a more intuitive, understandableperspective. This approach de-mystifies, clarifies, anddemonstrates the techniques thus allowing the student toquickly learn and correctly apply them.January 20-22, 2015Columbia, Maryland$1845 (8:30am - 4:00pm)Register 3 or More & Receive $100 00 EachOff The Course Tuition.Course Outline1. New insights and applications of traditionalDSP. How to deal with unexpected results whenconverting analog signals to digital. The power ofMedian Filtering and Matched Filtering. Orthogonality incity streets and in signals. Managing Quantization andPrecision Errors. A clearer understanding of z-Transforms. Insights into Discrete/Fast FourierTransforms, and Short-Time Fourier Transforms usingvibrating piano strings. Intuitive Graphical “Sliding”Convolution and Correlation. Time Domain/FrequencyDomain manipulations. Tradeoffs in windowing data.2. Exploiting the capabilities of Complex Signals.Mastering this much more complete and usabledescription of signals. An almost magical way toprecisely shift the frequency of a real signal by using aHilbert Transforms and complex Analytical Signals. Howto use this method to enable the (safe) use of Brick WallFiltering.3. Multirate, Multresolution, Time/Frequency, andWavelets. Advanced interpolation. How to resamplequickly and easily using Prime Numbers. Integer,Rational, and Irrational sampling ratios. WaveletTransforms that tell you the time, the frequency andeven the shape of pulses, blips, or other “events” in yoursignal. Recovering a signal in 10,000 times noise.Compression and De-Noising using Wavelets.4. Advanced General Applications of DSP. How toextract a signal from heavy noise using Cross AmbiguityFunctions (CAFs). Precision Interpolation inTDOA/FDOA Geolocation. Dithering and StochasticProcessing–how to add noise to actually improve theresult. Harmonics and Intermodulation Distortion–waysto deal with strong false signals at frequencies veryclose to your signal of interest.5. Advanced Applications of DSP inCommunications. How to understand and implementOrthogonal Frequency Division Multiplexing (OFDM)using surprisingly familiar DSP techniques. DSP usagein Communications Multiple Access Schemes. Intuitivecomparisons of FDMA, TDMA, CDMA, and SDMA.6. Practical DSP Tips and Tricks. Signal Averagingfor cleaner results. A sliding DFT that computes selectedresults 1000 times faster than the FFT. Extremelyefficient minimization using a Downhill Simplex“amoeba”.7. Specific areas of DSP with substantial marketgrowth. Communications, Audio and Video, Space,Medical, Commercial Media, Weather Forecasting,Military, Oil and Gas Exploration, Simulation andModeling, Financial, Tomography, and many others.Register online at www.ATIcourses.com or call ATI at 888.501.2100 or 410.956.8805 Vol. 119 – 39