Podcast
Questions and Answers
Which of the following is NOT an advantage of using IIR filters compared to FIR filters?
Which of the following is NOT an advantage of using IIR filters compared to FIR filters?
- They have a linear phase response. (correct)
- They can achieve a desired frequency response with fewer coefficients.
- They can have a steeper transition band.
- They are generally easier to implement.
Which of the following is a method used to design IIR filters from analog filters?
Which of the following is a method used to design IIR filters from analog filters?
- Frequency Sampling
- Windowing
- Bilinear Transformation (correct)
- Impulse Invariance (correct)
What is the primary concern related to 'overflow' in fixed-point digital signal processing?
What is the primary concern related to 'overflow' in fixed-point digital signal processing?
- Distortion of the signal due to non-linear phase response.
- Introduction of noise due to quantization of coefficients.
- Loss of signal amplitude due to limited dynamic range.
- Unstable behavior leading to oscillations in the output. (correct)
Which of the following is NOT a typical realization structure for IIR filters?
Which of the following is NOT a typical realization structure for IIR filters?
In the context of finite word length effects, what is the primary difference between 'truncation' and 'rounding'?
In the context of finite word length effects, what is the primary difference between 'truncation' and 'rounding'?
Which of the following is NOT a parametric method for power spectral density estimation?
Which of the following is NOT a parametric method for power spectral density estimation?
What is the primary function of a 'decimation' filter in multirate DSP?
What is the primary function of a 'decimation' filter in multirate DSP?
Which of the following is a characteristic of a Quadrature Mirror Filter (QMF) used in subband coding?
Which of the following is a characteristic of a Quadrature Mirror Filter (QMF) used in subband coding?
Flashcards
IIR Filters
IIR Filters
Infinite Impulse Response filters used in digital signal processing with feedback loops.
FIR Filters
FIR Filters
Finite Impulse Response filters that do not use feedback, leading to a limited response.
Impulse Invariance
Impulse Invariance
A method for designing IIR filters from analog filters by preserving the impulse response.
Quantization Noise
Quantization Noise
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Power Spectral Density (PSD)
Power Spectral Density (PSD)
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Multirate Signal Processing
Multirate Signal Processing
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Truncation Error
Truncation Error
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Windowing Technique
Windowing Technique
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Study Notes
Course Objective
- Introduce digital signal processing (DSP) advantages, theory, and applications of IIR and FIR filters
- Explain various signal errors during DSP
- Introduce power spectral density estimation for random signals
- Explain multirate sampling and DSP processor architecture
Course Outcome
- Apply mathematical, scientific, and engineering knowledge to understand DSP advantages and IIR/FIR filters
- Identify, formulate, and solve problems related to different signal errors during DSP
- Apply, and use calculation methods in power spectral density estimation for random signals
- Understand multirate sampling and DSP processor architecture
Unit I: IIR Filter Design
- Introduce IIR filters, their advantages and disadvantages
- Discuss IIR filter design from analog Butterworth and Chebyshev filters
- Describe impulse invariance and bilinear transformation design methods
- Explain different IIR filter realizations (Direct form I, II, Cascade, Parallel, and Ladder)
Unit II: FIR Filter Design
- Introduce FIR filters
- Explain symmetric and asymmetric FIR filters
- Describe FIR filter design using frequency sampling techniques
- Explain FIR filter design using windowing technique
- Discuss FIR filter realizations (Transversal, Linear Phase, and Polyphase)
Unit III: Finite Word Length Effects
- Explain fixed-point and binary floating-point number representations
- Discuss truncation and rounding errors during quantization
- Describe noise, quantization noise power, input quantization error
- Describe coefficient quantization error and product quantization error
- Explain how to use scaling for prevention of overflow and limit cycle oscillations
Unit IV: Spectrum Estimation and Multirate Signal Processing
- Introduce nonparametric and parametric spectrum estimation methods
- Explain Bartlett and Welch methods, AR, MA, and ARMA models
- Explain principles of multirate DSP
- Describe decimation, interpolation, and subband coding of speech signals using QMF filters
Unit V: Digital Signal Processors
- Introduce programmable DSP processors (Von Neumann, Harvard, and VLIW architectures)
- Describe the MAC unit, pipelining, special addressing modes
- Explain on-chip peripherals, RISC and CISC architectures of TMS320C50 and TMS320C6X processors.
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