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Artículo: AMZ-B08F9Q6V88
Digital Signal Processing for GTU 13 Course (VII - ECE/E&Tc/Elex./EEE/EE - 2171003)
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- 1. Introduction to DSP (Chapter - ι) Overview : Siqnals, Systems and siqnal processinq, Classification of signals, Elements of diqital signal processinq system, Concept of frequency ίn continuous and discrete time signals, Periodic sampling, Frequency domain representation of samplinq, Reconstructions of band limited signals from its samples. 2. Discrete-Time Signals and Systems (Frequency Domain Analysis) z-transform and inverse z-transform. Linear convolution and its properties, Linear constant coefficient difference equations, Frequency domain representation of discrete-time siqnals and systems, Representation of sequences by Discrete Time Fourier Transform, (DTFT). Properties of discrete time Fourier transform and correlation of siqnals, Fourier transform theorems. 3. Analysis of Linear Time Invariant System Analysis of L ΤΙ systems ίη time domain and stability considerations. Frequency response of LTI system, System functions for systems with linear constant-coefficient difference equations, Frequency response of rational system functions relationship between maqnitude and phase, ΑΙΙ pass systems, Inverse systems, Minimum/Maximum phase systems. Systems with linear phase. 4. Structures for Discrete Time Systems Block diaqram and siqnal flow diaqram representations of linear constant-coefficient difference equations, Basic structures of IIR systems, Lattice and Iattice-ladder structures, Transposed forms, Direct and cascade form structures for FIR systems, Linear phase FIR structure, Effects of co-efficient quantization. 5. Filter Design Techniques Desiqn of Discrete-time IIR filters from continuous-time filters Approximation by derivatives, Impulse invariance and bilinear transformation methods; Desiqn of FIR filters by windowinq techniques. 6. Discrete-Fourier Transform & Past Fourier Transform Representation of periodic sequences : The discrete Fourier series and its properties Fourier transform of periodic siqnals, Samplinq the Fourier transform, The Discrete-Fourier transform, Properties of DFT, Linear convolution usinq DFT. FFT-Efficient computation of DFT. Goertzel alqorithm. Radix2 decimation-in-time and decimation-in-frequency FFT alqorithms. 7. Advance DSP Techniques Multirate Signal Processing : Decimation, Interpolation, Samplinq rate conversion by rational factor. Adaptive filters : Introduction. Basic principles of forward linear predictive filter and applications such as system identification, Echo cancellation, Equalization of channels, and beam forminq usinq block diaqram representation study only. 8. Architecture of DSP Processors & Applications Harward architecture, Pipelininq, Multiplier-accumulator (MAC) hardware, Architectures of fixed and floatinq point (TMSC6000) DSP processors. Applications.
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