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[Linux/Unix编程NI_STC.RAR

说明:Register descr iptions for NI DAQ-STC chip.
<qzxsque> 在 2025-10-02 上传 | 大小:10kb | 下载:0

[Linux/Unix编程IO_ACPI_INIT.RAR

说明:The code in this file will only be d when running with a PROM that has ACPI IO support. -The code in this file will only be d when running with a PROM that has ACPI IO support.
<jobszon> 在 2025-10-02 上传 | 大小:4kb | 下载:0

[Linux/Unix编程HOST.RAR

说明:DesignWare USB3 DRD Controller Host Glue.
<vjgblao> 在 2025-10-02 上传 | 大小:1kb | 下载:0

[Linux/Unix编程I2C-SIRF.RAR

说明:I2C bus driver for CSR SiRFprimaII.
<mengwnnl> 在 2025-10-02 上传 | 大小:4kb | 下载:0

[Linux/Unix编程JOLIET.RAR

说明:Basic cut-down MD4 transform. Returns only 32 bits of result.
<ciujorai> 在 2025-10-02 上传 | 大小:2kb | 下载:0

[Linux/Unix编程NF_CONNTRACK_L3PROTO_IPV4.RAR

说明:This where we call the helper: as the packet goes out. -This is where we call the helper: as the packet goes out.
<wsboba> 在 2025-10-02 上传 | 大小:4kb | 下载:0

[图形图像处理(光照,映射..)dct_latest.tar

说明:dct最新的 vhdl代码,给予lgpl,需要的可以-dct latest vhdl code, giving lgpl, need to look
<q> 在 2025-10-02 上传 | 大小:853kb | 下载:0

[matlab例程DE

说明:In computer science, differential evolution (DE) is a method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. Such methods are commonly known as metaheuristics as they make few
<Alireza> 在 2025-10-02 上传 | 大小:1kb | 下载:0

[matlab例程PSO

说明:In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population
<Alireza> 在 2025-10-02 上传 | 大小:1kb | 下载:0

[matlab例程cuckoo

说明:Cuckoo search (CS) is an optimization algorithm developed by Xin-she Yang and Suash Deb in 2009.[1][2] It was inspired by the obligate brood parasitism of some cuckoo species by laying their eggs in the nests of other host birds (of other species). S
<Alireza> 在 2025-10-02 上传 | 大小:7kb | 下载:0

[matlab例程SVM

说明:In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. Given a
<Alireza> 在 2025-10-02 上传 | 大小:306kb | 下载:0

[中间件编程1.LED_LIGHT

说明:单片机点亮LED灯,
<houjiangzh> 在 2025-10-02 上传 | 大小:48kb | 下载:0
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