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1.1.Discrete Signals and Systems
1.2 Introduction to DFT
1.3 Properties of DFT
1.4 Circular Convolution
1.5 Filtering methods based on DFT – FFT Algorithms
1.6 Decimation in time Algorithms
1.7 Decimation in frequency Algorithms,Comparison of DIT-FFT, DIF – FFT Basic Butterfly diagram, Comparison of DIT and DIF
1.8 Use of FFT in Linear Filtering
2.1 Structures of IIR
2.2 Analog filter design, Butterworth Filter , Chebyshev Filter
2.3 Discrete time IIR filter from analog filter
2.4 IIR filter design by Impulse Invariance
2.5 IIR filter design by Bilinear transformation
2.6 Approximation of derivatives – (LPF, HPF, BPF, BRF) filter design using frequency translation.
3.1 Structures of FIR
3.2 Linear phase FIR filter
3.3 Fourier Series
3.4 Filter design using windowing techniques, Rectangular Window, Hamming Window, Hanning Window
3.5 Frequency sampling techniques
3.6 Finite word length effects in digital Filters, Errors, Limit Cycle
3.7 Noise Power Spectrum
4.1 Fixed point and floating point number representations
4.2 ADC
4.3 Quantization
4.4 Truncation and Rounding errors
4.5 Quantization noise
4.6 Coefficient quantization error
4.7 Product quantization error
4.8 Overflow error
4.9 Round off noise power
4.10 limit cycle oscillations due to product round off and overflow errors
4.11 Principle of scaling
5.1 Multirate signal processing
5.2 Decimation
5.3 Interpolation
5.4 Sampling rate conversion by a rational factor
5.5 Adaptive Filters, Introduction and Applications of adaptive filtering to equalization.
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CategoriesElectronics & Communication
Format EPUB
TypeeBook