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Electrical and Electronics Subjects Important Questions
Define statistical variance and covariance.
(class:
BE/BTech  Electrical and Electronics
)
Digital Signal Processing
How do you compute the energy of a discrete signal in time and frequency domains?
(class:
BE/BTech  Electrical and Electronics
)
Digital Signal Processing
Define sample autocorrelation function. Give the mean value of this estimate.
(class:
BE/BTech  Electrical and Electronics
)
Digital Signal Processing
What is the basic principle of Welch method to estimate power spectrum?
(class:
BE/BTech  Electrical and Electronics
)
Digital Signal Processing
How do find the ML estimate?
(class:
BE/BTech  Electrical and Electronics
)
Digital Signal Processing
Give the basic principle of Levinson recursion.
(class:
BE/BTech  Electrical and Electronics
)
Digital Signal Processing
Why are FIR filters widely used for adaptive filters?
(class:
BE/BTech  Electrical and Electronics
)
Digital Signal Processing
Express the Widrow Hoff LMS adaptive algorithm. State its properties.
(class:
BE/BTech  Electrical and Electronics
)
Digital Signal Processing
What is meant by image smoothing and image sharpening?
(class:
BE/BTech  Electrical and Electronics
)
Digital Signal Processing
Give the two channel wavelet filter banks to decompose the input signal into frequency bands
(class:
BE/BTech  Electrical and Electronics
)
Digital Signal Processing
Define the following term :Uniform noise.
(class:
BE/BTech  Electrical and Electronics
)
Digital Signal Processing
Define the following term :Wiener Khintchine theorem.
(class:
BE/BTech  Electrical and Electronics
)
Digital Signal Processing
Define the following term :Power spectrum
(class:
BE/BTech  Electrical and Electronics
)
Digital Signal Processing
Define the following term :Physical significance of spectral factorization.
(class:
BE/BTech  Electrical and Electronics
)
Digital Signal Processing
Define Hilbert space and orthogonal projection . How does it help in estimation.
(class:
BE/BTech  Electrical and Electronics
)
Digital Signal Processing
Define cross correlation and cross spectrum. Relate the output cross spectrum in terms of input cross spectrum.
(class:
BE/BTech  Electrical and Electronics
)
Digital Signal Processing
Explain about smoothed spectral estimation.
(class:
BE/BTech  Electrical and Electronics
)
Digital Signal Processing
Present the model based approach to power spectral estimation. Define AR,MA, and ARMA models. And Illustrate the ARMA model for spectrum estimation.
(class:
BE/BTech  Electrical and Electronics
)
Digital Signal Processing
Give the properties of linear estimators and the CramerRao bound.
(class:
BE/BTech  Electrical and Electronics
)
Digital Signal Processing
Briefly explain the estimation of a non stationary process by a Kalman filter.
(class:
BE/BTech  Electrical and Electronics
)
Digital Signal Processing
Describe the basics of forward linear prediction . Give the schematic of FIR filter and Lattice filter for first order predictor.
(class:
BE/BTech  Electrical and Electronics
)
Digital Signal Processing
Derive the recursive predictor coefficients for optimum lattice predictor by Levinson Durbin algorithm.
(class:
BE/BTech  Electrical and Electronics
)
Digital Signal Processing
What do you understand by an adaptive filter? Discuss the minimum MSE criterion to develop an adaptive FIR filter
(class:
BE/BTech  Electrical and Electronics
)
Digital Signal Processing
Explain the adaptive channel equalization in detail.
(class:
BE/BTech  Electrical and Electronics
)
Digital Signal Processing
Define 2D DFT and state its separability and peridiocity properties. Explain its role in the image smoothing and sharpening operations.
(class:
BE/BTech  Electrical and Electronics
)
Digital Signal Processing
Explain the multisolutional analysis of wavelets . Explain the application of wavelets in signal compression.
(class:
BE/BTech  Electrical and Electronics
)
Digital Signal Processing
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