The LPC4350/30/20/10 are ARM Cortex-M4 based microcontrollers for embeddedapplications. The ARM Cortex-M4 is a next generation core that offers systemenhancements such as low power consumption, enhanced debug features, and a highlevel of support block integration.The LPC4350/30/20/10 operate at CPU frequencies of up to 150 MHz. The ARMCortex-M4 CPU incorporates a 3-stage pipeline, uses a Harvard architecture withseparate local instruction and data buses as well as a third bus for peripherals, andincludes an internal prefetch unit that supports speculative branching. The ARMCortex-M4 supports single-cycle digital signal processing and SIMD instructions. Ahardware floating-point processor is integrated in the core.The LPC4350/30/20/10 include an ARM Cortex-M0 coprocessor, up to 264 kB of datamemory, advanced configurable peripherals such as the State Configurable Timer (SCT)and the Serial General Purpose I/O (SGPIO) interface, two High-speed USB controllers,Ethernet, LCD, an external memory controller, and multiple digital and analog peripherals
C++完美演繹 經典算法 如 /* 頭文件：my_Include.h */ #include <stdio.h> /* 展開C語言的內建函數指令 */ #define PI 3.1415926 /* 宏常量，在稍后章節再詳解 */ #define circle(radius) (PI*radius*radius) /* 宏函數，圓的面積 */ /* 將比較數值大小的函數寫在自編include文件內 */ int show_big_or_small (int a,int b,int c) { int tmp if (a>b) { tmp = a a = b b = tmp } if (b>c) { tmp = b b = c c = tmp } if (a>b) { tmp = a a = b b = tmp } printf("由小至大排序之后的結果:%d %d %d\n", a, b, c) } 程序執行結果： 由小至大排序之后的結果:1 2 3 可將內建函數的include文件展開在自編的include文件中 圓圈的面積是=201.0619264
The Audio File Library provides a uniform programming interface to
standard digital audio file formats.
This library allows the processing of audio data to and from audio
files of many common formats (currently AIFF, AIFF-C, WAVE, NeXT/Sun
.snd/.au, IRCAM, AVR, Amiga IFF/8SVX, and NIST SPHERE). The library
also supports compression (currently G.711 mu-law and A-law and IMA and
MS ADPCM) as well as PCM formats of all flavors (signed and unsigned
integer, single- and double-precision floating point).
關于FPGA流水線設計的論文
This work investigates the use of very deep pipelines for
implementing circuits in FPGAs, where each pipeline
stage is limited to a single FPGA logic element (LE). The
architecture and VHDL design of a parameterized integer
array multiplier is presented and also an IEEE 754
compliant 32-bit floating-point multiplier. We show how to
write VHDL cells that implement such approach, and how
the array multiplier architecture was adapted. Synthesis
and simulation were performed for Altera Apex20KE
devices, although the VHDL code should be portable to
other devices. For this family, a 16 bit integer multiplier
achieves a frequency of 266MHz, while the floating point
unit reaches 235MHz, performing 235 MFLOPS in an
FPGA. Additional cells are inserted to synchronize data,
what imposes significant area penalties. This and other
considerations to apply the technique in real designs are
also addressed.
Two functions, num2bin and bin2num are provided. num2bin takes a double and converts it to a binary string representation. bin2num is its inverse operation. It can be used in a numerical analysis course when floating point arithmetic is discussed.
This getting started exercise will guide you through the step-by-step process of transforming a MATLAB floating-point model into a hardware module that can be implemented in silicon (FPGA or ASIC). The design is a general purpose FIR filter taken from the AccelDSP Examples directory.
