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Digital Signal Processing Practice Test: Discrete Time Systems Implementation
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Discrete Time Systems Implementation topics include: Realization structures for discrete time systems, FIR system structures, IIR system structures, number representation, state space system analysis, quantization error analysis and bilinear transformations. Discrete-time systems process discrete-time signals. They can be represented by a set of difference equations or a block diagram of their implementation.  The input and output of a discrete-time system are related by a linear constant coefficient difference equation. This equation defines a sequence of operations to implement the... Show more
Digital Signal Processing Practice Test: Discrete Time Systems Implementation
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25 Questions

1. If we consider a sequence of FIR filer with system function Hm(z)=Am(z), then what is the definition of the polynomial Am(z)?
2. The basic elements of a flow graph are branches and nodes.
3. The binary point between the digits b0 and b1 exist physically in the computer.
4. What is the condition of M, if the structure according to the direct form is as follows?
The condition of M if the structure according to the direct form is M odd
5. If M and N are the orders of numerator and denominator of rational system function respectively, then how many multiplications are required in direct form-I realization of that IIR filter?
6. The desired frequency response is specified at a set of equally spaced frequencies defined by the equation?
7. The general linear constant coefficient difference equation characterizing an LTI discrete time system is?
8. If M and N are the orders of numerator and denominator of rational system function respectively, then how many additions are required in direct form-I realization of that IIR filter?
9. A single input-single output system and its transpose have identical impulse responses and hence the same input-output relationship.
10. What is the system function of all-zero filter or comb filter?
11. The direct form realization is often called a transversal or tapped-delay-line filter.
12. The in-band quantization noise variance is given as?
13. What is the smallest floating point number that can be represented using a 32-bit word?
14. The selection of the sampling rate Fs=1/T, where T is the sampling interval, not only determines the highest frequency (Fs/2) that is preserved in the analog signal but also serves as a scale factor that influences the design specifications for digital filters.
15. If we reverse the directions of all branch transmittances and interchange the input and output in the flow graph, then the resulting structure is called as ______________
16. Finite word length effects refer to the quantization effects that are inherent in any digital implementation of the system, either in hardware or software.
17. When the frequency band is selected we can specify the sampling rate and the characteristics of the pre filter, which is also called as __________ filter.
18. State variables provide information about all the internal signals in the system.
19. The zeros of the system function of comb filter are located at ______________
20. Which of the following is the correct representation of a floating point number X?
21. The parallel form realization is also known as normal form representation.
22. What is the system function of the second filter other than comb filter in the realization of FIR filter?
23. If a three stage lattice filter with coefficients K1=1/4, K2=1/2 K3=1/3, then what are the FIR filter coefficients for the direct form structure?
24. What are the nodes that replace the adders in the signal flow graphs?
25. If M and N are the orders of numerator and denominator of rational system function respectively, then how many memory locations are required in direct form-II realization of that IIR filter?