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  • GD32F103 IRDA USART sos

    请问有没有GD32F103关于IRDA的例程啊?感谢

    USART SAR USART gd32F103 gd32f1

    2227浏览量 0回复量 关注量
  • GD32F103VET6 FMC 512KB flash,后256KB无法写入数据

    使用GD32F103VET6芯片进行flash读写,经过测试发现flash写操作只能在前256KB,在后256KB则无法进行写操作,查看手册针对这两块内存的区别在指令零等待或延时,但是对读写操作上会存在什么区分呢?擦除使用fmc_page_erase接口如下是操作demo: /** * @description: EEPROM read data * @param : uint16_t write_addr: EEPROM addr(first addr: ) [input] * uint8_t *buffer: Temporary storage cache [output] * uint16_t length: len (unit: BYTE) [input] * @return: success: 0 | fail: 1 */ static int flash_write_word(uint32_t write_addr, const uint32_t *buffer, uint16_t length) { uint16_t i = 0; uint32_t *tempBuff = NULL; fmc_state_enum state = FMC_PGERR; if (buffer == NULL || ((write_addr % 4) != 0)) { return -1; } if ((write_addr) < FLASH_STORE_BASE_ADDR || ((write_addr + length * 4) >= (FLASH_BASE_ADDR + FLASH_SECTOR_SIGLE_SIZE * FLASH_SECTOR_TOTAL_SIZE))) { return -1; } tempBuff = (uint32_t *)buffer; fmc_unlock(); __disable_irq(); for (i = 0; i < length; i++) { fmc_flag_clear(FMC_FLAG_BANK0_END); fmc_flag_clear(FMC_FLAG_BANK0_WPERR); fmc_flag_clear(FMC_FLAG_BANK0_PGERR); state = fmc_word_program(write_addr + 4 * i, *(tempBuff + i)); if(state != FMC_READY) { __enable_irq(); fmc_lock(); return -1; } } __enable_irq(); fmc_lock(); return 0; }

    GD32 MCU fm gd32F103 flash TE

    2725浏览量 2回复量 关注量
  • 256K 后执行速度GD32F103VET6

    [i=s] 本帖最后由 475463351 于 2021-6-10 13:11 编辑 [/i] 官方说法:GD32F10x 系列的 Flash 分为 Code 区(前 256K)和 Data 区(256K 以后的区域),二者在擦 写操作上没有区别,但是读操作时间上存在较大差别,code 区代码取值零等待,data 区执行 代码会有较长延时。应用中如果涉及该架构影响到使用可以通过分散加载来改善,具体做法参 考分散加载应用文档。我想问下扫描时候改成一样的速度?后256K严重影响运行效果,和前面256K,要写两种代码,兼容性非常不友好

    gd32F103 代码 code flash GD32F10X

    1904浏览量 1回复量 关注量
  • GD32F103VC芯片自动降频

    1、电源电压不够了? 2、电磁环境影响?3、我用的HAL库,配置的时钟是80M,程序运行过程中偶尔跑慢,跟卡死了一样,中断时间降了,主程序运行也慢了,怀疑是1、2方面的问题,自工作4年以来第一次遇到这问题,程序运行过程中没动时钟

    gd32F103 芯片 时钟 电源电压 电磁环境 电磁

    2718浏览量 3回复量 关注量
  • GD32F103串口问题 sos

    串口初始化时,校验位为偶校验,数据位8时,单片机发出来的数据是乱码,后来问了一下芯片厂家,他们说设置校验位的时候数据位要设置成9,但是发出来的数据还是部分是乱码。重点来了:我设置无校验,数据位8时,跟上位机通信,无论串口组手有没有校验位(奇偶或者无校验)都能通信成功,且数据正常,这谁能给解释一下原因。串口相关代码如下: void CIOControl::USART_Config(void) { rcu_periph_clock_enable(RCU_USART2); gpio_init(GPIOB, GPIO_MODE_AF_PP, GPIO_OSPEED_50MHZ, GPIO_PIN_10); gpio_init(GPIOB, GPIO_MODE_IN_FLOATING, GPIO_OSPEED_50MHZ, GPIO_PIN_11); /* USART configure */ usart_deinit(USART2); usart_baudrate_set(USART2, 2400); usart_word_length_set(USART2, USART_WL_8BIT); usart_stop_bit_set(USART2, USART_STB_1BIT); usart_parity_config(USART2, USART_PM_NONE); usart_hardware_flow_rts_config(USART2, USART_RTS_DISABLE); usart_hardware_flow_cts_config(USART2, USART_CTS_DISABLE); usart_receive_config(USART2, USART_RECEIVE_ENABLE); usart_transmit_config(USART2, USART_TRANSMIT_ENABLE); usart_enable(USART2); usart_interrupt_enable(USART2, USART_INT_RBNE); nvic_irq_enable(USART2_IRQn, 1, 0); } INT8U CUART::SendData(INT8U *DataBuf, INT16U DataLen) { INT8U j; for(INT16U i = 0; i < DataLen; i++) { usart_data_transmit(m_UARTNum, DataBuf[i]); Delay_ms(1); for(j = 0; j < 200; j++) { if(usart_flag_get(m_UARTNum, USART_FLAG_TC) != RESET) { usart_flag_clear(m_UARTNum, USART_FLAG_TC); break; } Delay_us(100); } if(j == 200) //20ms没有发送成功,则认为发送失败 { return FALSE; } } return TRUE; }

    MUC gd32F103 串口 USART SAR usart2

    2105浏览量 0回复量 关注量
  • GD32F103VC替换ST32F103VC后,SPI读出的数全是0xff

    用ST芯片,SPI读取正常。换成GD芯片后,按照官方提供的GD和ST差异表,修改了程序,u8 SPI_FLASH_SendByte(u8 byte) 返回值全是0xff,有人遇到过这种情况吗? u8 SPI_FLASH_SendByte(u8 byte) // { /* Loop while DR register in not emplty */ while ((SPI1->SR & SPI_I2S_FLAG_TXE) == 0); /* Send byte through the SPI1 peripheral */ SPI1->DR =byte; /* Wait to receive a byte */ while ((SPI1->SR & SPI_I2S_FLAG_RXNE) == 0); /* Return the byte read from the SPI bus */ return SPI1->DR; }

    spi ST gd32F103 TE While se

    2277浏览量 1回复量 关注量
  • GD32F103VC改为GD32F103C8T6官网的实例程序要改动哪些 sos

    GD32F103VC改为GD32F103C8T6官网的实例程序要改动哪些

    gd32f103c8t6 gd32F103 gd32f1

    1539浏览量 0回复量 关注量
  • GD32F103RCT6 低速晶振不起振

    晶振用的是EPSON FC-135 32.768kHz, 7.0 +20.0/-20.0,程序卡在rcu_osci_stab_wait(RCU_LXTAL)这一步,应该是不起振吧 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3Ig7BuWOLiobqMF9YrJEKXCUnibLjL/iJcZC0s8k5WU7dLrUIAlPTvJnTPrd8BSMXbW8YscI3SOwT7u+A++gC9kDQCWAhjRF4ccCPuFJWXmx6BesnO73+MyUint3btDs0fYhHPchlPbNcV+uflPvxzAkr6tbPtUjhG2y8P53fE9fFFNXwCWDAY1ORD2B0sxmR+Deik7afCkXJYMkTChHBO8Y26LuhcQAEvu+ESOEcq+mVcfx3lK00ehA3f6aFZfAJYMAo0cCPuDpbjba3mI6lNaaTzfXTpA+ZRdTBkBYE3RaOOmv6RAzL4a9sNtOHPbZenQgKVi7KzjEzlG6ByDfdzxH3wBX8gaACxpDPY9RmMTo6U/eR/975ZgaW+dFk/4ayx5z9PM8qdaV18H7bfoKX+NJS8LYCXYEbBUTOABLBVjZ52+nV98cKdNOu3GPvBXVTUAWEoY5OOcLgdC9j1u3/TfLcCSCEq1c3T66oc96yip6iWCUq3+Oi0HC2P2FwAAS/3ZT+Ur1W+ApWLsrLK9/JscI+Tt+O6Or+AL+EJHA4ClgcNSznOWNm/TLH/PW61Js+8lvReOd5Lo61LiX6vC98/2CVjKZi+djqvaB7BUjJ1Vtpd/Ayy54wvZN/gO35hoALA0cFjaJd2n4dL2M8sMbdP6wqvd15540zT27I2UF/Zm72iApew2M+rMnhd55YnJOXBMPr4CLOVjR+gRdnRFA4AlB2CJ+JpHiesspUCVkFHSzwyJGaVpGmve7nsyt0rYgKViAh4yS8XYWaVx+TfAkju+kH2D7/CNiQYASy7AEn/1SOJj+klzm8Kn3vRBaZcoeOrNHigxUQKWiglOgKVi7KwTaAFL7vhCx1/YB/5K0wBgyQVY2tdZLTt+n/Clty/S3L1tzcnm23S/9WLn5b21Y0t0X34Br4Fd4sQGWComEAGWirFznM7F3wFL7vhC9Av+h19MNQBYMoACORCy76YO6B4XTvJWP66ftEgkX6F7io4272g99dYpM1ihO+5Fuvl1KsBSfrZM0hlgqRg7J/mAb5NjBP8dn+74CL6AL7JoALDkBCztEu21ae7YdGf9plr9Ms2v8qfYtml9eZEmOmsfTdPxVlsCovQX6SoFwedJxb4bLr+OBFjKz5ZKX/oaBiwVY+ckH/BtgCV3fMF9gk/4pB8NAJZcgaX9XRKfZpODredN0eiJt3qfVOPznaRFMnuPnyRPAKPgyTqN4w43btEjAztxYQKWiglSgKVi7Mx1nfQp97+kfbHNHb/BF/BFnAYASwYQIAdC9j3OwJl/37xLi69corFauEp4rX6JWgt31U+qAZbys72BFjL712IZgCV3Ar0cI1zSCerijk7gi/L4ArBkMHjJgTBXWDKoDzpceTqcTV8BltzRgRwjbPod53bH7/BFdX0BWDKAEzkQApaq20HKFPwAS+7oUI4RZdIR6uqOjuALd3wBWAIs4TaWgQZcDGKAJYcCqzQX0EW9oE7u6AW+cN8XgCWDgVK+akRmyX2hD0MwAiy5o0M5RgyD/tBGd/QHX+TvC8ASYAmZJQMNuBiMAEv5B0hTPwOW3PGFqQ9xHHwoagCwZDBQyoEQmSV0KrFTDep/wJI7OpRjxKA0gXLd0QR8UW5fAJYAS8gsGWjAxcAHWHInGAOW3PGFi30VdSqfPgBLBgOlHAiRWSqf8KsYrABL7ugQvnDHF1Xs62hT8foCLAGWkFky0ICLwQoDdPEBNE4H8IU7vojzEX6Hj7JoALBkMFAis4ROlqWTFbUvBmh3dAlfuOOLovofyqm2zw**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[/img]

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