Length: 3 Days
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Digital Signal Processing Training, Signal Processing Fundamentals

Digital Signal Processing Training, Signal Processing Fundamentals is a 3 days fundamental course focusing on practical aspects on how to manage and process digital signals that come in from a wide variety of sources. The course covers the fundamentals of signal processing, basic concepts such as sampling, reconstruction and aliasing, fundamental filtering algorithms such as FIR, IIR and FFT, software programming basics and principles, fundamentals of DSPs, ASICs and FPGAs.

Tradeoff between microcontroller, DSP, FPGA and ASIC technologies are discussed.
Other discussions include: strengths and weaknesses of microcontroller (MCU), digital signal processor (DSP), field programmable gate array (FPGA) and application-specific integrated circuit (ASIC) technologies for embedded applications and customizable microcontroller and the power-effective tradeoff between them.

Topics Covered:

  • DSP basic concepts
  • Sampling, reconstruction and aliasing
  • Fundamental filtering algorithms
  • Software programming basics and principles
  • DSP algorithms for different applications
  • Design methods
  • Evaluate experimental results
  • Basic C programming and elementary mathematicsDigital signal processor (DSP)
  • Field programmable gate array (FPGA)
  • Application-specific integrated circuit (ASIC)
  • Discrete-Time Signals and Systems
  • Convolution and Correlation
  • Review of Fourier Analysis
  • Time and Frequency Domains
  • FIR Filters
  • Moving Average Filters
  • Window Method of Design
  • IIR Filters
  • Impulse Invariant and Bilinear Transform Methods of Design
  • Fast Fourier Transform
  • Adaptive Filters

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