DSP
  • Digital Signal Processing: A Computer-Based Approach, S. K. Mitra, 3rd Ed., McGraw-Hill, 2006
  • The Scientist & Engineer's Guide to Digital Signal Processing
  • Digital Signal Processing Using MATLAB
  • Digital Signal Processing: A Practical Guide for Engineers and Scientists
  • The Scientist & Engineer's Guide to Digital Signal Processing
  • Statistical Digital Signal Processing and Modeling
  • Digital Signal Processing and the Microcontroller
  • Theory
  • quantization
    • quantization level
    • linear/uniform quantization
      • $SQNR(signal to quantization noise ratio) = 10log(\frac{\sigma_x^2}{\sigma_e^2}) dB$ where $\sigma_e^2 = \int_{-\infty}^{\infty}ep_e(e)de$ and $\sigma_x^2$ is the variance
      • ${DR(dynamic_range)}_{uniform}$ = loudest amplitude / softest amplitude
      • $DR_{sinusoid} = SQNR_{full_scale_sinusoid}$ = signal power of a full scale sinusoid / the signal power of a small sinusoidal
      • CD format
        • 16 bit linear quantization
        • DR = 16*6 = 96(dB)
    • nonlinear/logarithmic quantization(the sample is quantized linearly and then compressed according to the nonlinear compression rule)
      • A-law
        • Europe
        • compresses a 12-bit linearly quantized speech sample to an 8-bit word
      • ${\mu}-law$
        • North America
        • compresses a 13 to 14-bit linearly quantized speech sample to an 8-bit word
  • API
  • Vendor
Unless otherwise stated, the content of this page is licensed under Creative Commons Attribution-ShareAlike 3.0 License