TMS320C31PQL - 40MHz Floating-Point DSP | Texas Instruments
料号： TMS320C31PQL ✗ 停产| 数量 | 单价 | 小计 |
|---|---|---|
| 1 | $0 | $0.00 |
| 10 | $0 | $0.00 |
| 100 | $0 | $0.00 |
| 500 | $0 | $0.00 |
| 1,000 | $0 | $0.00 |
TMS320C31PQL 概述
A digital signal processor, or DSP, is a semiconductor optimized to execute repetitive mathematical operations efficiently. Unlike a general-purpose processor, a DSP combines parallel arithmetic functions, dedicated addressing hardware, and deterministic instruction timing for filtering, transforms, waveform generation, and control algorithms. The TMS320C31 belongs to the floating-point DSP category within the broader processor and embedded semiconductor hierarchy.
The device provides up to 50 MFLOPS of floating-point throughput, 275 million operations per second, and 25 million instructions per second at its 40 ns speed grade. Its external data-memory interface and parallel floating-point architecture are central to its signal-processing role. The 132-terminal surface-mount package also provides enough connection density for address, data, control, interrupt, and peripheral signals, although the supplied data does not identify an exposed thermal pad.
Three documented speed configurations illustrate the architecture's performance scaling: the 25 ns grade reaches 440 MOPS, 80 MFLOPS, and 40 MIPS; the 33 ns grade reaches 330 MOPS, 60 MFLOPS, and 30 MIPS; and the 40 ns grade reaches 275 MOPS, 50 MFLOPS, and 25 MIPS. Because TMS320C31PQL uses the 40 ns grade, its verified peak performance is the final set of values.
Typical uses include real-time filtering, spectrum analysis, communications signal processing, audio processing, industrial measurement, and embedded control. Designers should preserve the correct clock, reset, wait-state, and memory-bus timing relationships. PCB routing also requires careful handling of a 132-pin QFP footprint, including pin-1 orientation and adequate assembly clearance.
No verified price, supply quantity, temperature range, core supply voltage, memory size, or lifecycle designation was supplied for this exact MPN. Those values must be confirmed before purchasing or releasing a production design. This page distinguishes verified facts from missing data and presents the DSP identity, package, performance classes, sourcing links, and design constraints together for engineering review.
TMS320C31PQL 规格参数
| Product Type | Floating-point digital signal processor (DSP) |
| Instruction Cycle Time | 40 ns |
| Performance | 275 MOPS |
| Floating-Point Performance | 50 MFLOPS |
| Instruction Throughput | 25 MIPS |
| 25 ns Speed-Class Performance | 440 MOPS, 80 MFLOPS, 40 MIPS |
| 33 ns Speed-Class Performance | 330 MOPS, 60 MFLOPS, 30 MIPS |
| 40 ns Speed-Class Performance | 275 MOPS, 50 MFLOPS, 25 MIPS |
| 封装 | 132-BQFP (24.13 mm x 24.13 mm) |
| Terminal Count | 132 terminals |
| Package Family | QFP family |
| 安装类型 | Surface mount |
| Package Shape | Square |
| Terminal Form | Gull wing |
TMS320C31PQL square 引脚配置指南
TMS320C31PQL（square 封装）的引脚配置。 引脚编号、功能和连接图在制造商数据手册中定义。请参阅该手册以了解确切的封装尺寸和焊接指南。
暂无详细引脚数据： TMS320C31PQL.
请参阅 数据手册 以查看完整引脚配置。
典型应用
TMS320C31PQL 适用于 6 应用s: Real-Time Digital Filtering, Spectrum and Signal Analysis, Communications Signal Processing, Audio Processing, Industrial Measurement and Control, Legacy Equipment Maintenance.
Real-Time Digital Filtering
The TMS320C31PQL fits real-time filtering workloads whose algorithm can be executed within its verified 275 MOPS, 50 MFLOPS, and 25 MIPS throughput. Floating-point arithmetic is particularly useful when filter coefficients, accumulated state, or scaling requirements would be cumbersome in fixed-point code. A practical implementation uses the external memory interface for samples and coefficients while organizing interrupt-driven blocks to keep deterministic latency. The required sampling rate, filter order, transform size, and memory bandwidth were not supplied, so designers must profile those values against the 40 ns speed grade before committing to the architecture.
推荐
Spectrum and Signal Analysis
The 50 MFLOPS floating-point performance of TMS320C31PQL supports established spectrum-analysis and signal-processing pipelines, including filtering, windowing, and transform-related arithmetic. Its DSP-specific execution model is preferable to using a general-purpose processor when predictable operation and high mathematical throughput are central to the task. The device should operate from controlled block buffers with carefully timed memory transfers and interrupt handling. Exact transform library performance, acquisition bandwidth, memory capacity, and cycle counts were not provided, so achievable channel count and update rate must be established with the actual algorithm.
推荐
Communications Signal Processing
TMS320C31PQL can serve as the computational core of a legacy communications signal-processing subsystem when its 275 MOPS throughput is adequate for modulation, correlation, interpolation, or channel-processing routines. Floating-point capability can simplify coefficient handling and dynamic-range analysis compared with manually scaled fixed-point code. Board-level design must account for the processor's external data-memory interface, clocking, reset, and exact 132-BQFP pinout. The supplied evidence does not include supported protocols, ADC interfaces, baud rates, error-correction engines, or timing margins, so suitability must be demonstrated at the subsystem level.
推荐
Audio Processing
The TMS320C31PQL's 50 MFLOPS floating-point throughput and 25 MIPS instruction rate make it applicable to legacy real-time audio blocks such as equalization, mixing, effects, filtering, and spectral processing. Audio designers should select the sampling rate and algorithm so worst-case processing fits within the real-time frame interval, leaving margin for memory transfers and interrupts. The verified material identifies the DSP as floating point but does not provide audio interfaces, memory size, or codec support. Those details must come from the manufacturer datasheet before connecting a specific converter.
推荐
Industrial Measurement and Control
TMS320C31PQL can evaluate sensors, condition sampled data, and execute control calculations when an existing system is already based on the TMS320C31 architecture. Its 275 MOPS throughput is meaningful for sampling, digital filtering, compensation, and supervisory logic, but control-loop latency depends on interrupt latency, memory behavior, and the complete algorithm. Industrial deployments must also verify supply-voltage requirements, temperature limits, clock accuracy, watchdog strategy, and long-term availability; none of those device-specific values was included in the supplied data.
推荐
Legacy Equipment Maintenance
The strongest practical use case for TMS320C31PQL is maintenance of equipment whose original firmware, memory map, and board layout were designed around the TMS320C31 family. Retaining the processor can avoid redesign of a dense 132-BQFP footprint and minimize software migration risk when the installed system still meets performance requirements. Before ordering a replacement, confirm exact pinout, electrical limits, clock configuration, peripheral behavior, and existing code compatibility against the manufacturer documentation. Distributor condition and traceability should be checked carefully because this appears to be an older catalogued architecture.
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推荐产品汇总
工程参考数据： TMS320C31PQL ——对比、设计指导和合规信息。
选型指南
与替代料对比
| 参数 | 本产品 |
|---|---|
| Package | 132-BQFP (24.13 mm x 24.13 mm) |
| Brand | Texas Instruments |
| Product Type | Floating-point digital signal processor |
| Instruction Cycle Time | 40 ns |
| Operations | 275 MOPS |
| Floating-Point Performance | 50 MFLOPS |
| Instruction Throughput | 25 MIPS |
| Terminal Count | 132 terminals |
| Pin Compatibility | Original device |
关键差异点
- Dedicated 40 ns floating-point DSP performance class （对比 General-purpose processor)
- Established 132-BQFP system interface （对比 Cross-package modern DSP)
- Three documented family speed classes （对比 TMS320C31PQL50)
合规信息
No verified compliance declarations were included in the supplied product, distributor, or datasheet-search data.
