CS495314-DVZR Allicdata Electronics
Allicdata Part #:

CS495314-DVZR-ND

Manufacturer Part#:

CS495314-DVZR

Price: $ 19.89
Product Category:

Integrated Circuits (ICs)

Manufacturer: Cirrus Logic Inc.
Short Description: IC DSP DECODER 32BIT 128-LQFP
More Detail: N/A
DataSheet: CS495314-DVZR datasheetCS495314-DVZR Datasheet/PDF
Quantity: 1000
750 +: $ 18.08350
Stock 1000Can Ship Immediately
$ 19.89
Specifications
Series: --
Packaging: Tape & Reel (TR) 
Part Status: Active
Type: Fixed Point
Interface: DAI/O, EBI/EMI, I²C, Parallel, SPI
Clock Rate: 150MHz
Non-Volatile Memory: ROM (128 kB)
On-Chip RAM: 82kB
Voltage - I/O: 3.30V
Voltage - Core: 1.80V
Operating Temperature: -40°C ~ 85°C (TA)
Mounting Type: Surface Mount
Package / Case: 128-LQFP
Supplier Device Package: 128-LQFP (20x14)
Description

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Digital Signal Processors (DSPs) are essential components to most embedded systems. In recent years, the CS495314-DVZR has become a popular choice for its cost-efficiency, ease of implementation and rich feature set. This article will discuss the application field and working principle of the CS495314-DVZR, and consider what makes it a great choice for embedded system design.

The CS495314-DVZR is a 16-bit digital signal processor with a RISC-like architecture. It is optimized for digital signal processing (DSP) workloads, such as mobile communications, robotics, biomedical applications, multimedia applications and research/testing. It is an efficient processor, capable of running multiple functions simultaneously, a feature that makes the DSP especially useful for applications that require low-latency responses to changes or other stimuli.

The architecture of the CS495314-DVZR is modular, allowing for flexible system architectures. It features two distinct programmable execution units (EUs): an arithmetic logic unit (ALU) and a multipliers and accumulator (MAC) unit. This architecture is highly efficient, allowing for low-latency operation, which is critical for many real-time applications. Additionally, the CS495314-DVZR has built-in support for major operating systems, including Windows, Linux, and Mac OS X.

The CS495314-DVZR utilizes a scalable 16-bit instruction set with instructions to control the Mac unit, and instructions to control the ALU. Instructions can also move data between memory and registers, allowing for efficient data and instruction flow. Additionally, the core architecture features interrupt inputs and outputs connecting the core and interfacing peripheral, allowing for fast response times to external stimuli and applications.

The CS495314-DVZR has a wide range of applications in the embedded field, due to its low cost, low power consumption and efficient processor architecture. For example, the DSP can be used for data-stream analysis and manipulation, such as pattern recognition and filtering. When used for these applications, the CS495314-DVZR has been shown to be up to 25 times faster than traditional, software-based solutions. Additionally, the processor has been used to implement efficient predictive models, as well as to develop artificial intelligence.

The CS495314-DVZR can also be used for efficient voice processing, such as voice recognition and voice synthesis. The processor can recognize a wide range of voices, with low latency and low power consumption. Additionally, the CS495314-DVZR can be used to efficiently perform audio processing, such as mixing, noise reduction and surround sound.

Finally, the CS495314-DVZR can also be used for digital imaging and video processing, such as video compression, image stabilization and video scaling. With its efficient processor architecture, the DSP can perform video decoding and encoding quickly and accurately, with a very low power consumption.

In conclusion, the CS495314-DVZR is an efficient and cost-effective digital signal processor. It has a wide range of applications in embedded systems, from voice recognition to digital video encoding. With its low power consumption, low latency and rich feature set, the CS495314-DVZR is an excellent choice for any embedded application.

The specific data is subject to PDF, and the above content is for reference

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