000			04070nam a2200229Ia 4500
999			_c620 _d620
001			0002384
003			OSt
005			20190327091831.0
008			170602s9999 xx 000 0 und d
020			_a9788126527878
028			_q2016 _bAllied Informatics, Jaipur
040			_bEnglish _aBSDU _cBSDU
082			_a621.382 2 _bSHE
100			_aShenoi, B A
245		0	_aIntroduction to Digital Signal Processing and Filter Design
260			_bWiley India Pvt. Ltd. India _a New Delhi _c2013,c2006
300			_a423
500			_aA thorough introduction to the subject of digital signal processing, with emphasis on fundamental concepts and applications of discrete-time systems, and the synthesis of these systems to meet specification in the time and frequency domains. Topics covered include characterization of discrete time signals and systems, linear difference equations, solutions by recursive algorithms, convolution, time domain analysis, sampling theory, frequency domain analysis, discrete Fourier series, design of FIR and IIR filters, and practical methods for hardware implementation.
504			_aContents Preface. 1. Introduction. · Introduction. · Application of DSP. · Discrete-Time Signals. · History of Filter Design. · Analog and Digital Signal Processing. · Summary. · Problems. · References. 2. Time-Domain Analysis and z Transform. · 2.1 A Linear, Time-Invariant System. · 2.2 z Transform Theory. · 2.3 Using z Transform to Solve Difference Equations. · 2.4 Solving Difference Equations Using the Classical Method. · 2.5 z Transform Method Revisited. · 2.6 Convolution Revisited. · 2.7 A Model from Other Models. · 2.8 Stability. · 2.9 Solution Using MATLAB Functions. · 2.10 Summary. · Problems. · References. 3. Frequency-Domain Analysis. · 3.1 Introduction. · 3.2 Theory of Sampling. · 3.3 DTFT and IDTFT. · 3.4 DTFT of Unit Step Sequence. · 3.5 Use of MATLAB to Compute DTFT. · 3.6 DTFS and DFT. · 3.7 Fast Fourier Transform. · 3.8 Use of MATLAB to Compute DFT and IDFT. · 3.9 Summary/ · Problems. · References. 4. Infinite Impulse Response Filters. · 4.1 Introduction. · 4.2 Magnitude Approximation of Analog Filters. · 4.3 Analog Frequency Transformations. · 4.4 Digital Filters. · 4.5 Impulse-Invariant Transformation. · 4.6 Bilinear Transformation. · 4.7 Digital Spectral Transformation. · 4.8 Allpass Filters. · 4.9 IIR Filter Design Using MATLAB. · 4.10 Yule-Walker Approximation. · 4.11 Summary. · Problems. · References. 5. Finite Impulse Response Filters. · 5.1 Introduction. · 5.2 Linear Phase Fir Filters. · 5.3 Fourier Series Method Modified by Windows. · 5.4 Design of Windowed FIR Filter Using MATLAB. · 5.5 Equiripple Linear Phase FIR Filters. · 5.6 Design of Equiripple FIR Filters Using MATLAB. · 5.7 Frequency Sampling Method. · 5.8 Summary. · Problems. · References. 6. Filter Realizations. · 6.1 Introduction. · 6.2 FIR Filter Realizations. · 6.3 IIR Filter Realizations. · 6.4 Allpass Filters in Parallel. · 6.5 Realization of FIR and IIR Filters Using MATLAB. · 6.6 Summary. · Problems. · References. 7. Quantized Filter Analysis. · 7.1 Introduction. · 7.2 Filter Design-Analysis Tool. · 7.3 Quantized Filter Analysis. · 7.4 Binary Numbers and Arithmetic. · 7.5 Quantization Analysis of IIR Filters. · 7.6 Quantization Analyis of FIR Filters. · 7.7 Summary. · Problems. · References. 8. Hardware Design Using DSP Chips. · 8.1 Introduction. · 8.2 Simulink and Real-Time Workshop. · 8.3 Design Preliminaries. · 8.4 Code Generation. · 8.5 Code Composer Studio. · 8.6 Simulator and Emulator. · 8.7 Conclusion. · References. 9. MATLAB Primer. · 9.1 Introduction. · 9.2 Signal Processing Toolbox. · References. Index.
650			_aElectronics
942			_2ddc _cBK