Allicdata Part #: | MSC8122MP8000-ND |
Manufacturer Part#: |
MSC8122MP8000 |
Price: | $ 0.00 |
Product Category: | Integrated Circuits (ICs) |
Manufacturer: | NXP USA Inc |
Short Description: | DSP 16BIT 500MHZ MULTI 431FCBGA |
More Detail: | N/A |
DataSheet: | MSC8122MP8000 Datasheet/PDF |
Quantity: | 1000 |
1 +: | 0.00000 |
Series: | StarCore |
Packaging: | Tray |
Part Status: | Obsolete |
Type: | SC140 Core |
Interface: | DSI, Ethernet, RS-232 |
Clock Rate: | 500MHz |
Non-Volatile Memory: | External |
On-Chip RAM: | 1.436MB |
Voltage - I/O: | 3.30V |
Voltage - Core: | 1.20V |
Operating Temperature: | 0°C ~ 90°C (TJ) |
Mounting Type: | Surface Mount |
Package / Case: | 431-BFBGA, FCBGA |
Supplier Device Package: | 431-FCPBGA (20x20) |
Base Part Number: | MSC8122 |
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Digital Signal Processors (DSP) are specialized embedded microprocessors dedicated to the efficient processing of digital signals. By carefully architecting their micro-architectures, DSPs enable the real-time manipulation of an analog signal into a digital one. DSPs have become commonplace in a variety of applications such as audio/video processing, gaming, telemetry, digital imaging, robotics, communications, automotive, and many more.
The MSC8122MP8000 is a digital signal processor (DSP) from Microchip Technology Inc. It is a powerful single-core processor that is designed primarily for embedded systems. It provides a combination of powerful digital signal processing and extensive computational capabilities, and is designed for complex signal processing applications requiring the highest performance and the utmost power efficiency.
The MSC8122MP8000 is based on a 32-bit ARM Cortex-A8 processor core, which is a superscalar, out-of-order processor architecture. It is also capable of running in double-precision floating point mode for advanced signal processing algorithms. This processor combines a high-performance ARM processor core with an optimized signal processing engine, delivering the ultimate in processing power and system integration.
In the areas of industrial, automotive, imaging and multimedia applications, the MSC8122MP8000 can provide the highest performance signal processing available today. It can also be used in applications such as surveillance, VoIP and networking, as well as security systems.
The working principle of the MSC8122MP8000 is simple yet powerful. It is designed to process digital signals in real-time and optimize the signal path with its embedded control algorithms. The processor utilizes several components, including digital signal processor cores, memories, and external peripherals, as well as core blocks for control, data memory and DMA controllers.
The most important component for signal processing is the DSP core. The DSP core is capable of performing complex signal-processing operations such as Fast Fourier Transforms (FFTs), convolution, and filtering operations. This core is also optimized for low-power, low-latency operations, enabling the processor to deliver enhanced performance and power-consumption efficiency.
The processor also features various external peripheral interfaces. These interfaces allow for the connection of various external devices such as hard drives, storage media, sensors, and cameras. The processor also supports various communication protocols such as USB, I2C, Serial, Ethernet, and other serial protocols.
The MSC8122MP8000 also has an on-chip Memory Management Unit (MMU), which provides efficient memory access and memory-mapped translation of signals from the peripherals. This is essential for efficient signal path management within the processor. The MMU also allows for context switching, which is vital for efficient operation on multiple data streams.
The MSC8122MP8000 is capable of handling the most demanding applications due to its high performance and low power consumption. The processor is designed for environmental robustness and provides comprehensive set of application interfaces. In conclusion, this provides the most comprehensive set of features for embedded signal processing applications.
The specific data is subject to PDF, and the above content is for reference
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