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NCS2-33+
+БОМ1:2 LTCC TRANSFORMER, 1500 - 310
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ПроизводительМини-схемы
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Мфр. Часть #NCS2-33+
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Лист данных NCS2-33+ DataSheet
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Пакет 6-SMD,NoLead
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В наличии2124
365 Дни гарантии качества
7*24 часы обслуживания каранти
90-гарантия послепродажного дня
Гарантия подлинного продукта
Спецификации
| Атрибут | Ценность |
| Package | Tape & Reel (TR),Cut Tape (CT) |
| ProductStatus | Active |
| FrequencyRange | 1.5GHz ~ 3.1GHz |
| Impedance-Unbalanced/Balanced | 1:2 |
| PhaseDifference | 5° |
| InsertionLoss(Max) | 1.0dB |
| ReturnLoss(Min) | 14.72dB |
| Package/Case | 6-SMD, No Lead |
Обзор
Description
The "+" might indicate an enhanced version of a previous model, offering improvements in processing power, efficiency, or additional features such as better support for different types of neural networks or increased compatibility with various software frameworks. Such devices are often used in applications that require real-time data processing, like video analysis or image recognition in IoT devices.
To gain a precise understanding, it would be necessary to consult the manufacturer's documentation or product descriptions. If you have specific tasks or projects in mind, ensure compatibility with your existing systems and software requirements.
Equivalent
Features
1. Myriad X VPU: Powered by the Intel Movidius Myriad X Vision Processing Unit (VPU), offering high-performance AI workloads with low power consumption.
2. Flexible Connectivity: Equipped with USB 3.0 interface for easy connection to a wide range of devices, enhancing deployment flexibility.
3. Compact Design: Its compact and portable design makes it ideal for edge applications where space and power are limited.
4. OpenVINO Toolkit: Supports Intel’s OpenVINO toolkit, enabling optimized deep learning model deployment across different Intel hardware.
5. Multi-Device Support: Allows for scalable performance by supporting multiple devices in a single application for increased throughput.
6. Multiple Neural Network Support: Capable of running multiple neural networks simultaneously, enhancing application versatility.
7. Enhanced Performance: Provides significant improvements over previous models in terms of speed and efficiency for inference tasks.
Overall, the NCS2-33+ is designed for developers and businesses looking to implement AI solutions at the edge with efficiency and ease.
Pinout
1. RF Input: This is where the RF signal to be mixed is input.
2. LO Input: This pin receives the local oscillator signal.
3. IF Output: The intermediate frequency signal is output from this pin after mixing.
4. Ground (GND): There are usually multiple ground pins to ensure proper grounding and minimize noise.
5. NC (No Connection): Some pins may be designated as not connected for this specific model.
The NCS2-33+ is used for frequency conversion in various RF applications, typically covering a wide frequency range with high isolation and low conversion loss. It is critical to refer to the specific datasheet for precise pin configuration and function as variations might exist.