espressif/esp-dsp

1.7.1

Latest
uploaded 3 weeks ago
ESP-DSP is the official DSP library for Espressif SoCs.

21 examples

  • applications 6
    • azure_board_apps 2
      • apps 2
        • 3d_graphics
          The demo showcases the ESP32-Azure IoT kit using matrices with the ESP-DSP Mat class, a Kalman filter, and basic 3D graphics. It displays a 2D…
          95.71 KB
        • kalman_filter
          The demo application for the ESP32-Azure IoT kit showcases the Kalman filter's integration with 3D graphics, displaying a 2D graphic converted into a…
          104.63 KB
    • m5stack_core_s3 2
      • apps 2
        • 3d_graphics
          The demo is developed for the M5Stack Core S3 board, showcasing the usage of matrices with the ESP-DSP Mat class, a Kalman filter, and basic 3D…
          6.37 KB
        • kalman_filter
          This demo application for the M5Stack Core S3 board showcases the usage of matrices with the ESP-DSP Mat class, Kalman filter, and basic 3D graphics.…
          15.62 KB
    • lyrat_board_app
      The demo applications for the ESP32-LyraT development board showcase the usage of IIR filters from the ESP-DSP library to process audio streams. The…
      361.93 KB
    • spectrum_box_lite
      This demo application is designed for the ESP32-S3-BOX-Lite development board, showcasing the usage of FFT functions from the ESP-DSP library to…
      5.12 KB
  • apps 2
    • 3d_graphics
      The demo application showcases the usage of the ESP-DSP Mat class, Kalman filter, and basic 3D graphics on the ESP32-Azure IoT kit. It displays a 2D…
      95.71 KB
    • kalman_filter
      The demo is developed for the ESP32-Azure IoT kit, showcasing the usage of matrices with the ESP-DSP Mat class, a Kalman filter, and basic 3D…
      104.63 KB
  • azure_board_apps 2
    • apps 2
      • 3d_graphics
        This demo application for the ESP32-Azure IoT kit showcases the usage of the ESP-DSP Mat class, a Kalman filter, and 3D graphics. It converts 2D…
        95.71 KB
      • kalman_filter
        The demo application for the ESP32-Azure IoT kit showcases the use of the Kalman filter and 3D graphics. It demonstrates a 3D object that follows the…
        104.63 KB
  • basic_math
    This example demonstrates how to use basic math functions from the esp-dsp library, including initializing the library, applying a window to input…
    3.25 KB
  • conv2d
    This example demonstrates how to use 2D convolution with the dspi_conv_f32 function from the esp-dsp library. It initializes input arrays and…
    2.37 KB
  • dotprod
    This example demonstrates how to use the 'dotprod' function from the esp-dsp library to calculate the dot product of two arrays. It includes steps…
    2.58 KB
  • fft
    This example demonstrates how to use the FFT functionality from the esp-dsp library by initializing input signals, combining them into a complex…
    3.47 KB
  • fft4real
    This example demonstrates how to use FFT functionality from the esp-dsp library, including initializing the library, calculating FFT Radix-2 and…
    3.65 KB
  • fft_window
    This example demonstrates how to use the Window and FFT functionality from the esp-dsp library. It initializes the library, sets up input signals,…
    3.37 KB
  • fir
    This example demonstrates how to use FIR filter functionality from the esp-dsp library, including initializing the FFT library, applying windowing,…
    3.87 KB
  • iir
    This example demonstrates how to use IIR filters functionality from the esp-dsp library, including initializing the library, input signal,…
    3.53 KB
  • kalman
    This example emulates a system with IMU sensors and demonstrates the use of the Extended Kalman Filter (EKF) with a 13-value states vector to…
    8.46 KB
  • lyrat_board_app
    This demo application is designed for the ESP32-LyraT development board, showcasing the use of IIR filters from the ESP-DSP library to process audio…
    361.93 KB
  • matrix
    This example demonstrates how to use the Mat class functionality from the esp-dsp library, including initializing matrices, calculating matrix…
    2.49 KB