Digital Signal Processing

Digital Signal Processing (DSP) is the use of computers or more specialized digital signal processors, to perform an extensive variation of signal processing operations. The signals processed are in the sequence of numbers that represent samples of a continuous variable in a field such as time, space, or frequency. Digital signal processing and Analog Signal Processing are the types of signal processing. DSP applications mainly includes audio and speech processing, sonar, radar and other sensor range processing, spectral density estimation, statistical signal processing, digital image processing, signal processing for telecommunications, control systems, biomedical engineering, and seismology.

  • Digital Filter Design and Implementation
  • Digital Filter Banks
  • Multidimensional Signal Processing
  • Digital Signal Processing for Communications
  • Digital Signal Processing Applications
  • Discrete-Time Transforms
  • Time-Frequency Analysis
  • Wavelets
  • Digital Signal Processing Applications

Related Conference of Digital Signal Processing

September 18-19, 2019

8th International Conference on Biostatistics & Bioinformatics

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| Toronto | Ontario | Canada
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11th Euro Biosensors & Bioelectronics Congress

Rome, Italy
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6th World Machine Learning and Deep Learning Congress

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12th International Conference & Exhibition on Biosensors & Bioelectronics

| Vancouver | British Columbia | Canada
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10th World Congress on Biosensors and Bioelectronics

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Humanoid Robotics,Artificial intelligence and Automation

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