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DSP for Communications

by: Sarina Wintheiser

DSP for Communications ECE 423

Sarina Wintheiser
GPA 3.8


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Class Notes
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This 1 page Class Notes was uploaded by Sarina Wintheiser on Tuesday September 22, 2015. The Class Notes belongs to ECE 423 at Colorado State University taught by Staff in Fall. Since its upload, it has received 6 views. For similar materials see /class/210306/ece-423-colorado-state-university in ELECTRICAL AND COMPUTER ENGINEERING at Colorado State University.

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Date Created: 09/22/15
ECE 423 DSP for ommunication Concepts AD and DA Conversion Signals and Systems a Samplingtheorem Sampling and Quantization a Can describe key properties of continuous and COHVCISiOH altifacmi ahaSng quantization H0153 Understands Nyquist sampling rule and the e ect o discrete time LTI systems 39 I Oversampling AZ data converters Sampling in the fr qu cy domain Transfer functions Sam hm rate conversion Understands quantization effects ENOB and noise I Impulse response p g mitigation techniques such as oversampling and noise Complex frequency 39 Dlgltal Slgnal Processmg shaping o For both continuous and discrete time systems Operators signal ow diagrams ween f f I Review of time frequency domain system 39 Trans er quotHomequot characterization for discretetime systems Poles and zeros Impulserespmey Filtering modma OHdemodula on I Discretetime System Analy5is35ign Complex frequency response 0 Deviations from ideal quantization noise nite Understands sampling and reconstruction numencal precision Enieftands gitscretetim math chtaracterlization in I 0 me an requency omain o signa processing DSP Processor cones g functions such as filtering prediction and spectral 0 Processor arc tecture anal sis Pro rammi n y a Fixed oating point number representations Understands basics of digital communication 39 16130 write Simple programs in C or her high39 0 Polling and interrupts for realtime processing mOdUIauondemOdummn Md QAM39 eve an a e Some manage of development envimnmm 0 Instruction set arclutect39ure spec1al features for debugger DSP DSP Svstem DesignCharacteriz tion 0 DSP algorithms in C and Assembly I I I I DSP System Design Understands analog to discrete filteer design tlechni q es 39 such as Im ulse Invariance and Bilin ar ransforrn Wk 39 DeSIgH teChmques Impulse Invariance Founer Undersfands design offilters as Direct Transposed Can damnine behavior ofa system built of other series expansion polezero placement CAD and Cascade orms interconnected linear systems techniques Undlerstands algortitlh lgnr and hardware Able to understand operation of a complex digital imp ementation 0 system such as microprocessor from highlevel DSP bmlfimg bloks39 FIR and HR lters Understands design tradeo s such as latency and block diagram leferentlators Hllbe traHSformeIs filter coefficient quantization effects a DFT hardware implementations Experienced in using MATLAB DSP design tools QAM and design ow from specification to DSP program 0 Simulation Analvsis E Applications Can analyze systems in time and frequency domain using MATLAB and Simulink tools Audio and Vldeo Processmg Control Systems Realtime DSP Hardware and Sgware Voice and data communication Able to write simple programs in C and Assembly Instrumentation to implement common DSP functions 39 39 39 Familiar with DSP processor architecture and P re req L s ltes I o techniques for program optimization using hardware kn ECESIZ ECEAZI recommended Matlab s1gnal processmg workbench owledge Appreciates hardware limitation such as integer C and Assembly development tools over ow roundoff error and nonZero processor cycle time As of 12908


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