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EC8553 DISCRETE TIME SIGNAL PROCESSING
UNIT -1 1. Circular convolution using DFT,IDFT***2. Decimiation in time **3. DIF-FFT algorithm**Don't share as screenshot -Stuff sectorUNIT-21. Buttorworth using bilinear transformation***2. IIR design by impulse invariantRare 3. Chebyshev filter **4.Design of discrete time IIR filter from analog filterUNIT-3 Don't share as screenshot -Stuff sector1. Frequency sampling techniques2. Hanning window **3. FIR filter using frequency sampling methodUNIT-41. Quantization process (errors introduced)2. Characteristics of limit cycle oscillation with respect to the round off and overflow error **3. Noise power**UNIT-5 Don't share as screenshot -Stuff sector1.DSP Architecture, Addressing modes
2.TMS320C54 DSP processor**Problem
EC8553 DISCRETE TIME SIGNAL PROCESSING
UNIT -1
1. Circular convolution using DFT,IDFT***
2. Decimiation in time **
3. DIF-FFT algorithm**
Don't share as screenshot -Stuff sector
UNIT-2
1. Buttorworth using bilinear transformation***
2. IIR design by impulse invariant
Rare
3. Chebyshev filter **
4.Design of discrete time IIR filter from analog filter
UNIT-3 Don't share as screenshot -Stuff sector
1. Frequency sampling techniques
2. Hanning window **
3. FIR filter using frequency sampling method
UNIT-4
1. Quantization process (errors introduced)
2. Characteristics of limit cycle oscillation with respect to the round off and overflow error **
3. Noise power**
UNIT-5 Don't share as screenshot -Stuff sector
1.DSP Architecture, Addressing modes
2.TMS320C54 DSP processor
2.TMS320C54 DSP processor
**Problem
**Very important questions are bolded and may be asked based on this topic
PART-C
1.Compulsory Questions {a case study where the student will have to read and analyse the subject }mostly asked from unit 2, 3
For more details, Important questions for other subjects join us through WhatsApp**Very important questions are bolded and may be asked based on this topic
PART-C
1.Compulsory Questions {a case study where the student will have to read and analyse the subject }
mostly asked from unit 2, 3
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*These questions are expected for the exams This may or may not be asked for exams All the best.... from admin Santhosh
Thanks for your love and support guys keep supporting and share let the Engineers know about Us and leave a comment below for better improvements If there is any doubt feel free to ask me I will clear if I can or-else I will say some solutions ..get me through WhatsApp for instant updates ~$tuff$£ctorSYllabuSUNIT I DISCRETE FOURIER TRANSFORM
Review of signals and systems, concept of frequency in discrete-time signals, summary of analysis & synthesis equations for FT & DTFT, frequency domain sampling, Discrete Fourier transform (DFT) – deriving DFT from DTFT, properties of DFT – periodicity, symmetry, circular convolution. Linear filtering using DFT. Filtering long data sequences – overlap save and overlap add method. Fast computation of DFT – Radix-2 Decimation-in-time (DIT) Fast Fourier transform (FFT), Decimation-in-frequency (DIF) Fast Fourier transform (FFT). Linear filtering using FFT.
UNIT II INFINITE IMPULSE RESPONSE FILTERS
Characteristics of practical frequency selective filters. characteristics of commonly used analog filters – Butterworth filters, Chebyshev filters. Design of IIR filters from analog filters (LPF, HPF, BPF, BRF) – Approximation of derivatives, Impulse invariance method, Bilinear transformation. Frequency transformation in the analog domain. Structure of IIR filter – direct form I, direct form II, Cascade, parallel realizations.
UNIT III FINITE IMPULSE RESPONSE FILTERS
Design of FIR filters – symmetric and Anti-symmetric FIR filters – design of linear phase FIR filters using Fourier series method – FIR filter design using windows (Rectangular, Hamming and Hanning window), Frequency sampling method. FIR filter structures – linear phase structure, direct form realizations
UNIT IV FINITE WORD LENGTH EFFECTS
Fixed point and floating point number representation – ADC – quantization – truncation and rounding – quantization noise – input / output quantization – coefficient quantization error – product quantization error – overflow error – limit cycle oscillations due to product quantization and
summation – scaling to prevent overflow.
UNIT V INTRODUCTION TO DIGITAL SIGNAL PROCESSORS
DSP functionalities – circular buffering – DSP architecture – Fixed and Floating point architecture principles – Programming – Application examples.
Contact uS
*These questions are expected for the exams This may or may not be asked for exams
All the best.... from admin Santhosh
Thanks for your love and support guys keep supporting and share let the Engineers know about Us and leave a comment below for better improvements
If there is any doubt feel free to ask me I will clear if I can or-else I will say some solutions ..get me through WhatsApp for instant updates ~$tuff$£ctorReview of signals and systems, concept of frequency in discrete-time signals, summary of analysis & synthesis equations for FT & DTFT, frequency domain sampling, Discrete Fourier transform (DFT) – deriving DFT from DTFT, properties of DFT – periodicity, symmetry, circular convolution. Linear filtering using DFT. Filtering long data sequences – overlap save and overlap add method. Fast computation of DFT – Radix-2 Decimation-in-time (DIT) Fast Fourier transform (FFT), Decimation-in-frequency (DIF) Fast Fourier transform (FFT). Linear filtering using FFT.
UNIT II INFINITE IMPULSE RESPONSE FILTERS
Characteristics of practical frequency selective filters. characteristics of commonly used analog filters – Butterworth filters, Chebyshev filters. Design of IIR filters from analog filters (LPF, HPF, BPF, BRF) – Approximation of derivatives, Impulse invariance method, Bilinear transformation. Frequency transformation in the analog domain. Structure of IIR filter – direct form I, direct form II, Cascade, parallel realizations.
UNIT III FINITE IMPULSE RESPONSE FILTERS
Design of FIR filters – symmetric and Anti-symmetric FIR filters – design of linear phase FIR filters using Fourier series method – FIR filter design using windows (Rectangular, Hamming and Hanning window), Frequency sampling method. FIR filter structures – linear phase structure, direct form realizations
UNIT IV FINITE WORD LENGTH EFFECTS
Fixed point and floating point number representation – ADC – quantization – truncation and rounding – quantization noise – input / output quantization – coefficient quantization error – product quantization error – overflow error – limit cycle oscillations due to product quantization and
summation – scaling to prevent overflow.
UNIT V INTRODUCTION TO DIGITAL SIGNAL PROCESSORS
DSP functionalities – circular buffering – DSP architecture – Fixed and Floating point architecture principles – Programming – Application examples.