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E-book Particulars :
Language English
Pages 893
Format PDF
Dimension 27.0 MB

Digital Signal Processing Fundamentals and Applications


Digital Signal Processing Fundamentals and Applications Second version by Li Tan and Jean Jiang | PDF Free Download.

Primary Contents of Digital Signal Processing PDF


  • CHAPTER 1. Introduction to Digital Signal Processing.
  • CHAPTER 2. Signal Sampling and Quantization.
  • CHAPTER 3. Digital Indicators and Methods.
  • CHAPTER 4. Discrete Fourier Remodel and Signal Spectrum.
  • CHAPTER 5. The z-Remodel.
  • CHAPTER 6. Digital Signal Processing Methods, Fundamental Filtering Sorts, and Digital Filter Realizations.
  • CHAPTER 7. Finite Impulse Response Filter Design.
  • CHAPTER 8. Infinite Impulse Response Filter Design.
  • CHAPTER 9. {Hardware} and Software program for Digital Signal Processors.
  • CHAPTER 10. Adaptive Filters and Applications.
  • CHAPTER 11. Waveform Quantization and Compression.
  • CHAPTER 12. Multirate Digital Signal Processing, Oversampling of Analog-to-Digital Conversion, and Undersampling of Bandpass Indicators.
  • CHAPTER 13. Subband- and Wavelet-Based mostly Coding.
  • CHAPTER 14. Picture Processing Fundamentals.

Preface to Digital Signal Processing PDF


Know-how corresponding to microprocessors, microcontrollers, and digital sign processors have grow to be so superior that they’ve had a dramatic impression on the disciplines of electronics engineering, laptop engineering, and biomedical engineering.

Engineers and technologists have to grow to be acquainted with digital alerts and programs and primary digital sign processing (DSP) strategies.

The target of this e book is to introduce college students to the elemental ideas of those topics and to offer a working data such that they will apply DSP of their engineering careers.

The e book is appropriate for a two-semester course sequence on the senior stage in undergraduate electronics, laptop, and biomedical engineering know-how applications.

Chapters 1 to 8 present the matters for a one-semester course, and a second course can full the remainder of the chapters.

This textbook may also be utilized in an introductory DSP course in an undergraduate electrical engineering program at conventional faculties.

Moreover, the e book must be helpful as a reference for undergraduate engineering college students, science college students, and training engineers.

The fabric has been examined for 2 consecutive programs in a sign processing sequence at Purdue College North Central in Indiana.

With the background established from this e book, college students might be effectively ready to maneuver ahead to take different upper-level programs that cope with digital alerts and programs for communications and management.

The textbook consists of 14 chapters, organized as follows:

• Chapter 1 introduces ideas of DSP and presents a normal DSP block diagram. Utility examples are included.

• Chapter 2 covers the sampling theorem described within the time area and frequency area and additionally covers sign reconstruction.

Some sensible issues for designing analog antialiasing lowpass filters and anti-image lowpass filters are included.

The chapter ends with a piece coping with analog-to-digital conversion (ADC) and digital-to-analog conversion (DAC), in addition to sign quantization and encoding.

• Chapter 3 introduces digital alerts, linear time-invariant system ideas, distinction equations, and digital convolutions.

• Chapter 4 introduces the discrete Fourier rework (DFT) and digital sign spectral calculations utilizing the DFT.

Strategies for making use of the DFT to estimate the spectra of assorted alerts,  together with speech, seismic alerts, electrocardiography information, and vibration alerts, are demonstrated.

The chapter ends with a piece devoted to illustrating quick Fourier rework (FFT) algorithms.

• Chapter 5 is dedicated to the z-transform and distinction equations.

• Chapter 6 covers digital filtering utilizing distinction equations, switch features, system stability, digital filter frequency responses, and implementation strategies corresponding to direct-form I and directform II.

• Chapter 7 offers with varied strategies of finite impulse response (FIR) filter design, together with the Fourier rework technique for calculating FIR filter coefficients, window technique, frequency sampling design, and optimum design.

Chapter 7 additionally consists of purposes that use FIR filters for noise discount and digital crossover system design.

• Chapter 8 covers varied strategies of infinite impulse response (IIR) filter design, together with the bilinear transformation (BLT) design, impulse-invariant design, and pole-zero placement design.

Applications utilizing IIR filters embody audio equalizer design, biomedical sign enhancement, dual-tone multifrequency (DTMF) tone technology, and detection with the Goertzel algorithm.

• Chapter 9 introduces DSP architectures, software program and {hardware}, and fixed-point and floating-point implementations of digital filters.

• Chapter 10 covers adaptive filters with purposes corresponding to noise cancellation, system modeling, line enhancement, cancellation of periodic interferences, echo cancellation, and 60-Hz interference cancellation in biomedical alerts.

• Chapter 11 is dedicated to speech quantization and compression, together with pulse code modulation (PCM) coding, mu-law compression, adaptive differential pulse code modulation (ADPCM) coding,

windowed modified discrete cosine rework (W-MDCT) coding, and MPEG audio format, particularly MP3 (MPEG-1, layer 3).

• Chapter 12 covers matters pertaining to multirate DSP and purposes, in addition to ideas of oversampling ADC, corresponding to sigma-delta modulation. Undersampling for bandpass alerts can also be examined.

• Chapter 13 introduces a subband coding system and its implementation. Excellent reconstruction situations for a two-band system are derived.

Subband coding with an utility of knowledge compression is demonstrated. Moreover, the chapter covers the discrete wavelet rework (DWT) with purposes to sign coding and denoising.

• Lastly, Chapter 14 covers picture enhancement utilizing histogram equalization and filtering strategies, together with edge detection.

The chapter additionally explores pseudo-color picture technology and detection, two-dimensional spectra, JPEG compression utilizing DCT, picture coding utilizing the DWT, and the blending of two photos to create a video sequence.

Lastly, movement compensation of the video sequence is explored, which is a key ingredient of video compression utilized in MPEG.

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