src

js to use serial and configuration for quadcopter

说明：  这是一个基于STC89C51的数码管静态显示简单例程(This is a simple routine of digital tube static display based on STC89C51)

stm32产生spwm程序，利用TIM1和DMA，通过PA8和PB13输出spwm波(stm32 produce spwm program, using TIM1 and DMA, and PB13 through PA8 spwm wave output)

说明：  This is an STM32 program for the CS43L22 Audio Codec.

本例展示了如何设置TIM，用它来测量一个外部输入信号的频率和占空比。 TIM2时钟设置为72MHz，预分频设置为0，TIM2计数器时钟可表达为： TIM2 counter clock = TIMxCLK / (Prescaler +1) = 72 MHz，因此可测量的最小频率值为1100Hz。 设置TIM2工作在PWM输入模式（PWM Input Mode），把外部信号作为输入连接到TIM2通道2。 利用TIM2计数器中断来测量信号的频率和占空比。在TIM2_IRQHandler中，计算信号的频率和占空比，方法如下： 变量"Frequency"为由下式得到的外部信号频率： Frequency = TIM2 counter clock / TIM2_CCR2 单位Hz 变量"Duty_Cycle"为由下式得到的外部信号占空比： Duty_Cycle = (TIM2_CCR1*100)/(TIM2_CCR2) 单位 (This example shows how to set up the TIM, and use it to measure the frequency and duty cycle of an external input signal. TIM2 clock set to 72MHz and the prescaler is set to 0, TIM2 is counter clock can be expressed as: TIM2 is counter clock = TIMxCLK/(prescaler. Ppls1) = 72 MHz, the minimum measurable frequency value of 1100 Hz. Set TIM2 PWM input mode (PWM Input Mode), the external signal as an input connected to the the TIM2 Channel 2. TIM2 counter interrupt signal to measure frequency and duty cycle. Calculate the frequency and duty cycle of the signal in TIM2_IRQHandler as follows: variable " Frequency" on the grounds of the external signal frequency by the following formula: Frequency = TIM2 is counter clock/TIM2_CCR2 unit Hz variable Duty_Cycle " on the grounds of the following formula to get external duty cycle: Duty_Cycle = (TIM2_CCR1* 100)/(TIM2_CCR2) in )

stm32f10x 双adc同步采样 连接dma总线 采样结果以32位整形存入缓冲区(stm32f10x adc synchronous sampling connection dma bus sampling results to the 32-bit integer buffered)

ICCAVR教程，用的最多的单片机AVR编译软件！(ICCAVR tutorial, with the largest single-chip AVR compiler software!)

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MHT(多假设跟踪)是一种基于多个扫描周期量测, 进行数据互联的技术, 理论上是解决数 据关联的最优方法。文中重点阐述多假设跟踪算法中数据聚簇、假设生成及假设概率计算、假设约简与 剪枝等环节。从工程角度出发, 采用K􀀁 best最优假设和N􀀁 scan 回溯剪枝以提高算法效率和实用(MHT (multiple hypothesis tracking) is a kind of multiple scan cycle measurement based, data interconnection technology, theory is to solve the number According to the optimal method of association. This paper focuses on multiple hypothesis tracking algorithm in data clustering, hypothesis generation and hypothesis probability calculation, assuming that reduction and The pruning process. From the engineering point of view, using K 􀀁 best optimal hypothesis and N 􀀁 scan backtracking pruning algorithm to improve the efficiency)

lpc2132的实例程序，可以借鉴一下，学长写的，个人觉得非常不错，欢迎下载！(lpc2132 program instance, can learn from the seniors write personal feel very good, welcome to download!)