ADSP-21479BBCZ-2A vs ADSP-2184LBSTZ-160
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| Category | Embedded - DSP (Digital Signal Processors) | Embedded - DSP (Digital Signal Processors) |
| Manufacturer | Analog Devices Inc. | Analog Devices Inc. |
| Description | IC DSP SHARC 266MHZ LP 196CSBGA | IC DSP CONTROLLER 16BIT 100LQFP |
| Package | Tray | Tray |
| Series | SHARC® | ADSP-21xx |
| Type | Floating Point | Fixed Point |
| Interface | DAI, DPI, EBI/EMI, I²C, SPI, SPORT, UART/USART | Host Interface, Serial Port |
| Operating Temperature | -40°C ~ 85°C (TA) | -40°C ~ 85°C (TA) |
| Mounting Type | Surface Mount | Surface Mount |
| Package / Case | 196-LFBGA, CSPBGA | 100-LQFP |
| Supplier Device Package | 196-CSPBGA (12x12) | 100-LQFP (14x14) |
| Clock Rate | 266MHz | 40MHz |
| Non-Volatile Memory | ROM (4Mbit) | External |
| On-Chip RAM | 5Mbit | 20kB |
| Voltage - I/O | 3.30V | 3.30V |
| Voltage - Core | 1.20V | 3.30V |
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1. What is embedded DSP?
Embedded Digital Signal Processor (EDSP) is a processor specially used for signal processing. It has been specially designed in terms of system structure and instruction algorithm, and has high compilation efficiency and instruction execution speed. Embedded DSP processors are good at high-speed implementation of various digital signal processing operations, such as digital filtering, spectrum analysis, etc.
Embedded DSP processors have been specially designed for system structure and instructions, making them suitable for executing digital signal processing algorithms, with high compilation efficiency and high instruction execution speed. This special design includes the optimization of DSP hardware structure and instructions, so that it can efficiently handle complex signal processing tasks. -
2. What are the two types of DSP?
DSP (digital signal processor) is mainly divided into two types: fixed-point DSP and floating-point DSP. The main difference between fixed-point DSP and floating-point DSP is that they process data in different ways and formats.
Fixed-point DSP uses fixed-point number format for calculation. This format directly stores data and exponents in integer form in memory, eliminating multiplication and division operations in floating-point operations, thereby increasing the calculation speed. Fixed-point DSP chips are relatively low in price and power consumption, but the calculation accuracy is relatively low.
Floating-point DSP uses floating-point format for calculations. This format can represent large or small numbers, with high calculation accuracy, and is suitable for occasions that require high-precision calculations. However, floating-point DSP chips are expensive and consume a lot of power. -
3. What is DSP in microcontrollers?
DSP (Digital Signal Processor) is a microprocessor specifically used to process digital signals. It is different from the traditional CPU (Central Processing Unit). DSP is mainly used in occasions that require a large number of floating-point operations, such as communications, audio processing, image processing and other fields.
The working principle of DSP is to convert the received analog signal into a digital signal, and then process and analyze these digital signals. DSP chip adopts Harvard structure, that is, the program and data are stored separately, and has a dedicated hardware multiplier, which can quickly implement various digital signal processing algorithms. -
4. What are the three types of signal processors (DSP)?
There are three main types of signal processors (DSP): enhanced DSP, VLIW structure, superscalar architecture, and SIMD structure hybrid structure.
Enhanced DSP: This DSP has a highly optimized instruction set and structure that can quickly execute common signal processing algorithms. They are often used in applications that require high-speed signal processing.
VLIW structure: DSP with VLIW (Very Long Instruction Word) structure can execute multiple instructions in one cycle, thereby increasing processing speed. This structure is suitable for applications that require high parallel processing capabilities.
Superscalar architecture and SIMD structure hybrid structure: These structures combine the advantages of superscalar and SIMD (Single Instruction Multiple Data) technologies, can process multiple data in a single instruction cycle, and are suitable for application scenarios that require high-performance computing.
