Digital Signal Processing

- Fundamentals and Applications

  • Format
  • Bog, paperback
  • Engelsk

Beskrivelse

Digital Signal Processing: Fundamentals and Applications, Third Edition, not only introduces students to the fundamental principles of DSP, it also provides a working knowledge that they take with them into their engineering careers. Many instructive, worked examples are used to illustrate the material, and the use of mathematics is minimized for an easier grasp of concepts. As such, this title is also useful as a reference for non-engineering students and practicing engineers. The book goes beyond DSP theory, showing the implementation of algorithms in hardware and software. Additional topics covered include adaptive filtering with noise reduction and echo cancellations, speech compression, signal sampling, digital filter realizations, filter design, multimedia applications, over-sampling, etc. More advanced topics are also covered, such as adaptive filters, speech compression such as PCM, µ-law, ADPCM, and multi-rate DSP, over-sampling ADC subband coding, and wavelet transform.

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Detaljer
  • SprogEngelsk
  • Sidetal920
  • Udgivelsesdato10-11-2018
  • ISBN139780128150719
  • Forlag Academic Press Inc
  • FormatPaperback
Størrelse og vægt
  • Vægt1840 g
  • coffee cup img
    10 cm
    book img
    19,1 cm
    23,5 cm

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    Image processing Adaptive filters Image compression Linear time invariant systems Causality Image Enhancement Impulse response Z-transform Linear Prediction Transfer function Echo Cancellation System modeling Fast Fourier transform (FFT) Multirate digital signal processing Discrete Cosine Transform (DCT) Discrete Fourier transform (DFT) Digital signal processing Sampling theory Image filtering Inversion formula Difference equation Digital filtering Oversampling Adaptive differential pulse-code modulation (ADPCM) Adaptive Noise Cancellation Adaptive line enhancement Adaptive least mean square (LMS) algorithm Anti-image filter Analog-to-digital conversion (ADC) Anti-Aliasing Filter BIBO (bounded-in-and-bounded-out) stability Bilinear transform design Digital filter bank Digital filter realizations Digital-to-analog conversion (DAC) Digital convolution Finite impulse response (FIR) filter Downsampling Goertzel algorithm Decimation Filter Differential pulse-code modulation (PCM) Digital signal Interpolation filter DSP architectures Digital sequence Dual-tone multifrequency (DTMF) digital signal processors Histogram Equalization Infinite impulse response (IIR) filter Interference c Fourier transform design method Filter frequency response Frequency sampling design method Linear difference equation MP3 audio modified DCT Optimal design method Polyphase implementation Sampling Process Pseudo-color generation Inverse of z-transform Signal quantization Impulse invariant design Window design method z-Plane pole-zero plot Pole-zero placement design Signal companding Real-time DSP implementation Recursive least squares (RLS) algorithm Signal frequency analysis Signal spectrum undersampling Signal reconstruction process Subband Coding Wavelet signal denoising Wiener filter theory Upsampling Wavelet transform coding

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