Dsp i with_audio
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This document provides an overview of key concepts in digital signal processing including: 1. The types and classifications of signals including deterministic, non-deterministic, periodic, and aperiodic functions. 2. How to manipulate discrete time signals through operations like shifting, scaling, and folding. 3. Classifying systems as static, dynamic, linear, or non-linear. 4. How analog to digital converters sample, quantize, and encode analog signals to produce digital outputs.
Dsp i with_audio
- 1. 1 Adv and Disadv of DSP 2. Types of functions - just definition, their function and graph - unit ramp - unit impulse etc 3. Classifications of functions - definitions and examples - deterministic & non deterministic - numerical on periodic and aperiodic function - power ad energy signals derivation -> using this concept -- p=vi=i^2*r 4. Manipulation of discrete time S/Ns - theory and explain using example - Shifting e.g. U(n) to U(n-4) - Scaling e.g U(n) to U(2n) - folding e.g U(n) to U(-n) 5. classification of systems - definitions and examples - static dynamic linear non linear. - numerical on linear ad non linear system - superimposition principle - H(a1.x1+a2.x2_) == a1.H(x1) + a2.H(x2) 6. state space representaion of LTI system. *********** 7. Analog to Digital Convertor - concept exploration - sampler - quantizer - encoder analog - cont. time ad cont. amplitude digital - discrete time ad discrete amp. analog -------> SAMPLER --------> discrte time ad cont. ampl.-----------. quantizer ------> discrte time and discrte ampl. ---------. > ENCODER ----> Digital SYSTEM - sampling theorem - aliasing effect - theory question Digital Signal Processing Part 1 by Bhanu Tyagi