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    Overview

    SHARC (Super Harvard Architecture Single-Chip Computer) processor launched by Analog Devices (ADI) , designed for high-end digital signal processing (DSP) tasks. The processor uses a 32-bit floating-point architecture and supports high-throughput data calculations. It is widely used in audio processing, industrial control, medical equipment, radar, and communication systems , and other fields that require high-performance signal processing.

    Specifications

    parameter

    Numeric

    Core Architecture

    SHARC (Super Harvard)

    Clock frequency

    400 MHz

    Internal SRAM

    5 MB

    External storage support

    DDR2, SDRAM

    Floating point support

    32-bit IEEE-754

    DMA Channels

    14

    I/O Interface

    SPI, UART, I²C, SPORT

    PCIe support

    no

    Package Type

    176-pin LQFP

    Operating temperature range

    -40°C to +85°C

     

    ADSP-21489KSWZ-4B’s Highlights

    • The high-performance 32-bit floating-point DSP core

      adopts the SHARC processing architecture and provides 32-bit IEEE-754 standard floating-point computing capability, which is particularly suitable for high-precision signal processing applications such as audio equalization and radar signal processing.

    • The core clock speed of up to 400 MHz

      provides powerful computing capabilities to meet the needs of high-speed data processing and is suitable for real-time signal processing applications such as audio synthesis, waveform analysis, etc.

    • Large-capacity 5MB internal SRAM

      On-chip 5MB high-speed SRAM can be used to store large amounts of data and instructions, reducing dependence on external memory and increasing processing speed.

    • Rich peripheral interfaces

      provide SPI, UART, I²C and SPORT (serial port) interfaces, which can be seamlessly connected to other DSPs, microcontrollers, memories and peripherals, and are suitable for a variety of embedded systems.

    • Supports multi-channel DMA (Direct Memory Access) and

      provides 14 DMA channels , making data transmission and processing more efficient and improving system throughput.

    • The low-power design

      uses dynamic power management technology to adjust power consumption according to processing needs, making it suitable for portable devices and energy-sensitive applications.

    Application Areas

    ADSP-21489KSWZ-4B is widely used in the following fields with its powerful floating-point computing capability and high-speed data processing capability:

    High-end audio processing

    • Professional Digital Audio Workstation (DAW)

    • Audio mixer, equalizer, echo cancellation, audio codec

    • Surround sound processing (Dolby, DTS)

    Industrial Automation and Motion Control

    • Motor control, variable frequency drive

    • Robot path planning

    • Precision Instruments and Signal Conditioning

    Medical Devices

    • Medical imaging (ultrasound, MRI, CT scans)

    • Electrocardiogram (ECG) and electroencephalogram (EEG) signal processing

    • Precision data analysis and monitoring

    Radar and Communications

    • Radar signal processing (military/civilian)

    • Wireless base stations, satellite communications

    • Spectral analysis and waveform synthesis

    Automotive Electronics

    • Car audio, active noise reduction

    • Automotive radar, ADAS (Advanced Driver Assistance System)

    • In-car voice recognition

    Comparative Analysis: ADSP-21489KSWZ-4B vs. Other DSP Processors

    Features/Specifications

    ADSP-21489KSWZ-4B

    Other DSP processors on the market

    Core Architecture

    SHARC 32-bit floating point

    16/32 bit fixed point DSP

    Clock Speed

    400 MHz

    200MHz – 350MHz

    Internal Storage

    5MB SRAM

    512KB – 2MB

    External storage support

    DDR2, SDRAM

    Only supports SRAM/SDRAM

    Data throughput

    Up to 3.2 GB/s

    1 GB/s – 2 GB/s

    Power Management

    Adjustable low power mode

    Fixed power consumption

    ADSP-21489KSWZ-4B has obvious advantages in floating-point computing capability, internal storage, high throughput, and low-power design , and is suitable for application scenarios that require high-performance signal processing.

    Manufacturer introduction: Analog Devices (ADI)

    Analog Devices (ADI) is a global leading high-performance analog and digital signal processing semiconductor company, focusing on signal processing, embedded computing and industrial automation solutions. ADSP-21489KSWZ-4B is a member of its SHARC DSP processor series, which is widely used in high-performance audio, medical, radar, industrial control and other fields.

    Why choose ADSP-21489KSWZ-4B?

    • Ultra-high performance floating-point DSP for audio, radar, and medical image processing

    • 5MB internal SRAM , reducing reliance on external storage and increasing computing speed

    • Low power design for portable and high performance applications

    • Multiple interface support (SPI, UART, I²C, SPORT) for easy integration into various systems

    • 400 MHz processing speed provides ultra-fast computing power to meet real-time signal processing needs

    FAQ

    Q1: Does the ADSP-21489KSWZ-4B support double-precision floating-point calculations?
    A: The device supports 32-bit IEEE-754 single-precision floating-point operations and does not support 64-bit double-precision calculations. However, it has an efficient DSP core that optimizes single-precision floating-point calculation performance for high-performance audio processing, radar signal processing, and other real-time signal processing tasks.

    Q2: Is this DSP suitable for machine learning or AI computing?
    A: The ADSP-21489KSWZ-4B is mainly targeted at signal processing, audio, and radar applications, and is not specifically used for AI computing. However, due to its powerful parallel processing capabilities and efficient FIR/IIR filtering operations, it can be used for convolutional neural network (CNN) pre-processing , such as feature extraction and signal preprocessing, to improve the front-end data quality of AI systems. In addition, this DSP can be combined with an external AI processing unit to optimize the overall computing efficiency.

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