II Semester M.E. (Electronics and Communication) Degree Examination, January 2013 2K 9EL 214 : DSP ALGORITHMS AND ARCHITECTURE Time : 3 Hours
Max. Marks : 100
Answer any five full questions : 1. a) Explain sampling rate increase by an integer factor L using anti-imaging filter and derive input-output relationship in both time and frequency domains. 10 b) Find an output of decimator with decimation factor 3. Given filter coefficients h(n) = {0.03, 0.15, 0.31, 0.15, 0.03} and input x(n) = {1, 2, 3, 4, 1, 2, 1} using z-transform and verify the result using linear filtering. 10 2. a) Design a sampling rate converter to convert 8 KHz signal to 22 KHz signal. Derive an output expression in time and frequency domains. 10 b) What are Quadrature Mirror Filter banks ? Derive a condition for alias-free QMF bank.
10
3. a) Determine output of digital filter for given x(n) = δ (n) + δ (n – 1) + δ (n – 2) and h(n) = u(n) – u(n – 4) using i) Linear convolution and ii) Circular convolution.
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b) Find IFFT using DIT algorithm for X(K) = {4, (1 – j2.4), 0, (1 – j0.4), 0, (1 + j0.4), 0, (1 + j2.4)}.
10
4. a) Define mother wavelet and discuss the properties of wavelet transforms.
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b) Explain adaptive filtering and discuss LMS and RLS adaptive algorithms.
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5. a) Design a digital low pass FIR filter of length 7 with cutoff frequency 500 Hz and sampling rate of 2 KHz using Hamming window. b) Design FIR differentiator for H(ejw) = jw, for − π ≤ w ≤ π using rectangular window with w = 7.
10 10
P.T.O.
*EJM022*
EJM – 022
6. a) Design Chebyshev digital filter using Bilinear transformation for the specifications 1 2
≤ H( w ) ≤ 1, H(w ) ≤ 0 .1,
0 ≤ w ≤ 0 .2 π 0 .5 π ≤ w ≤ π
.
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b) Design digital filter using impulse invariance method with T = 1 sec. for H ( S) =
2 . S + 8S + 15 2
7. a) Discuss addressing modes of a DSP processor with examples.
10 10
b) Describe with examples sampling period reduction and parallel processing in applications of unfolding. 10 8. a) Describe with an example any one shortest path algorithms.
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b) Describe with examples longest path matrix algorithm and any one algorithm for computing iteration bound. 10 _______________________
b) Describe with examples sampling period reduction and parallel processing in. applications of unfolding. 10. 8. a) Describe with an example any one shortest ...
with high communication complexity, it is natural to use a. Network-on-Chip (NoC) to implement the communication. We address two key optimization problems ...
Network-on-Chip (NoC) to implement the communication. ... A key observation is that for DSP systems the traffic be- ...... Computer Communications, 2001.
... the apps below to open or edit this item. pdf-1595\communication-system-design-using-dsp-algo ... s320c30-applications-of-communications-theory-b.pdf.
2 af2 For More Question Papers Visit - www.pediawikiblog.com. For More Question Papers Visit - www.pediawikiblog.com. www.pediawikiblog.com. Page 2 of 2. DSP Algorithms & Architecture July 2016 (2010 Scheme).pdf. DSP Algorithms & Architecture July 20
Active Noise Control Systems: Algorithms and DSP Implementations (Wiley Series in Telecommunications and Signal Processing)
Download at => https://pdfkulonline13e1.blogspot.com/0471134244
Active Noise Control Systems: Algorithms and DSP Implement
Active Noise Control Systems: Algorithms and DSP Implementations (Wiley Series in Telecommunications and Signal Processing)
Download at => https://pdfkulonline13e1.blogspot.com/0471134244
Active Noise Control Systems: Algorithms and DSP Implement
Active Noise Control Systems: Algorithms and DSP Implementations (Wiley Series in Telecommunications and Signal Processing)
Download at => https://pdfkulonline13e1.blogspot.com/0471134244
Active Noise Control Systems: Algorithms and DSP Implement
it suitable for high security access control application. The three main .... Development Environment ... interface which speeds up development time and reduces.
HD. THD γ β α. +. +. = ⢠Hamming distance is a measure of dissimilarity between two binary templates. ⢠A threshold is set to decide if the two templates are ...
In the 1950s and 1960s several computer scientists independently studied .... individual learning and species evolution a ect one another (e.g., 1, 2, 13, 37 ... In recent years, algorithms that have been termed \genetic algorithms" have ..... Bedau
... in the population. 3. Apply selection and genetic operators (crossover and mutation) to the population to .... an environment|aspects that change too quickly for evolution to track genetically. Although ...... Princeton University Press, Princeto
In the 1950s and 1960s several computer scientists independently studied ... ther developed by Holland and his students and colleagues at the University of .... If if the environment is stable so that the best things to learn remain constant, then th
Compare Matrix Form FFT with Matlab Functions . ...... but the Maple computer algebra system for example returns ?1 for this. % values so this function returns -1 ...
Because of this, the bilinear z-transform is well suited to the task of converting classic analog filter into a digital IIR model which preserves the shape of the magnitude frequency response of the parent analog system. 3.5.2 Design of Digital Filte
In the 1950s and 1960s several computer scientists independently studied .... logical arms races, host-parasite co-evolution, symbiosis, and resource ow in ...
dsp architecture design essentials contains important information and a detailed explanation about dsp architecture design essentials, its contents of the ...