stm32f103的USB packet buffer memory SRAM 浪费一半空间?
最近在学习USB相关的内容,其中stm32f103支持的用来给端点传输数据的SRAM memory 512字节,但是stm32f072支持的大小是1024字节通过阅读相关手册我发现从内存地址上两者分配的是一样的,最大的区别是103系列对于USB SRAM的访问是word访问的,
而stm32f072对于USB SRAM的访问是half word访问的。
因此个人觉得stm32f103系类和stm32f072系列相比浪费了512字节的 USB packet buffer memory SRAM 空间,不知道我的理解是否正确。
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50oZ3kjPOOIOfT548mU+I6DE9SaWJtOE0dHLqNZ977jnFjBkzhuDAgQMVdGAQEO+Mj1dffZUgoijiN7hgwQLia9WqlTgTTKxbt448iKWIgw1G57Bhw8aOHRux1/2hEoEJQrw7lgkTJhBECirouPzyy4l3BqieTCPbIlM7ZDxVrVo1x5SPnWLixInsMF7trrzySuK5TDa8k8iClFwBX49xHSWYIxMCt2/frkf+TuRT6whSAxV0nHnmmcRfccUVCq5cuZJguXLlIiMzS5cuJZ7rnjijSXz33XdoUSR9ZBiKQnIIVDDJZgQzFh7ZIm5dK1as4C+QLq4K7e167NNPP61bty6l4rToEQPsmh6jikqMsau442gOPQaTJk0iqVmzZja8N1MSemzQoEHEZJuJNHr0aFJ9H4Ecegw0/hNxPQDUUZUqVfTIiTtC5ezRo0ei3gBdNbR33F186NChJI0fP/7rr7/WYxruHZvmIT3Wr18/uU5EnrBAMfWYHtkkuqNzq+rxnO8SmVuPAaeODBHXTSGv++HDh1Ph1bK9/PLLNs1Deoz2X2o58ogKOKvUExoZZCQZgh4rTYqpxxo2NMZlrJM3cE/QkJP68MM2xoEhS2VftKiIcSH2gKn6yispuo74HYZFy86L48TNbz/8kAbZ/Gl202YHq1aZsmV3oc3gkkuMi+add9qgQx6M8+bZ4NNPmyAnJOK9/tRTJj531caC33dfI/D44rNypfn3wsnXyVx1ldEJhRMCdtC6dfKlSeTzz1OLF5vt669tTA4wHJYsSb3/vhlH2inIv2yZ+ZcsvtsGLh8ngWaMnDn2zxVfvdpcxFijEmXLFrPD117bCc9AVbz4k3mEMfHucnAUNWsm5+TG2m+/HUILo5Js8b6rXz8TP2eODe5x8lGPaXbW7bffbsOFqF9EhPCdDrtNmzZlypRp2bKlGy8CjNdDDjmEeDdhRjzyyCP8tk+fPl9++SVfwNdjLvIv7mFLIZwd4p0hns0/hI6W+CZNmiioeQsdOnRQ0LFhwwbiIYdLmx6m0tfacBa2bNmieUfLly+3UYVIPDhRgZFEMD7tWwNuderUUfDOO+8keNxxxyno2Lx5M/HwbqSt2lU0OhRfKuCxxx4jvnbt2nzHwm7evDkHyDn0tSsXiD6M+Ij7zbPPPstvsT+QWKasmcYHv1JkfKKFLihWnYKNGjUiGJ+2oQvavvCRC1YUQYxFBR1oLQ3yxC+KA8uJDNnuughx3f7444/z85q0Q4Xs7Xps0aJFFKljx47vv/8+1z19KLuix5wYO/DAA1944QXl8cmtx2644QaSOnXqZMN7MyWhx0aOHElMq1atEp8lrV27tqCg4BPnUJVTjyEDpEYiA5ibNm3i1uYiKqhRIIgPoznQWvQL1PxIqWi1NHSmWW39+/fne2JhpMfobkaNGsWXuNdiMfWY3A2ynVKKsXTpUjoaGy6GHtMlUH/nQz3X0JkqOQqZ73RtSvWRHqNI0tJTpkyxCYXo4c6AAQPo4PgS9FhpUkw9plk0XJm4XgLs5oICDBgbhDVrUmefbYYC+BVbuXIpqkZ8ntX27anbbjNTsJSNje+zZtnUwYPt6BObhApaC+i0+e77f9D03nOP9SfUVrduiooWKW3HjuaHyBtKi4nhMp95Zi5t4GBvEW3A/2oenVvfSh5u8XF0Gg/iW7WywURk6GOd7xrx4nF6NY3txRdtTDaQNFxcd7YPOshcvkjvN22ayTBunLnQpHJNlRmtnt3QsDz4oPktUgS9WquW/SECEvs6co2++sqMhfqzE6tUMcOG8SlbCxakjj3W5kH2YGkiI2+80fyR3/4hwC64YMeEOnL26GFW1MjNZ5+ZzJUqJahBbFiSEMDigQdMkLoXvzWohCTJHYHmnL+mGsfvArksZl/sqbTJRz2mB43O988hu41UPSv985//rJzOSYYumT0Tg1TzRdqaNWsqV66MDUp3iEVOBvD1mIazKlasGDc1NGjTq1cvBTWcEn8I+uabbxJfvnx59ABB9X+Jviua8+AG3OKcc845ZEDgcZj0uJhB/fr1Gz9+vG/rwDvvvEO2cuXKxYditM4EnbGCmpj0NLdjJpi/xAMqgiBVge/Dhg1Tqk+9evVIigwe7jJHHHEEe3vqqadsuJCPPvrIlGaffeQriK3A0RG84447lAFDRE5BHJp/pVC5nNWDDz4YDcZJS+8jQ4/xX8Twvzbs4R81dUbPyOPP0TWVqzrNWBrZpkOGDFHQRwOt/rSlCL/+9a/JoOcFVOlLL72U6zt69GjnDJkDLEXsbH7uT7DZ2/UYtyc3oG7qXdZj1A1N7MQKf+WVV2yOTHLoMaqQxuhmzpxpo/ZmSkKPqfmFk046iXZJGjgHOfSYHjlxN0VcHzV/1Q34q65yQbm4iik+06ZN47dNmzZVvZLfIy18fFUep8cojNz2aF70K1FMPaYhprJly44YMYJ72d9DIrn12Oeff66ZwJdffrmNKuSZZ54hnlZdfY3c+/nfdevWKYPD6TG5NbZt29YmFKIVp0gNeqz0KaYee/RRYzKyYYOsWmUjs0Efgg1NZozUCRNoB1IdOpjg4YdnmPjUTZpk4vff3ygiqpjEDJvGWS+7zE7XOeAAs9ggmzzHunY1ka7OcvsqG3966aWpu+/eYX+PH2/zAPUU85p4yoNZjB7jHzGFlTPLxMYiQHfx2wYNzM5h7VoTZIvPANW4Wbt2NhgHA0rrQGCS0C03amREEZ8332wOcNfQbK**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**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**i5vD1GGjhH+4y51JeTD0GNA60CVqXyIfuiVYr8r/SYzlo1KgRjZ7NXQj9C8dFqv+SQE2i43/9xzTg9BjfNTPWfw8bwo8YLT4U9FjpU0w9JjDZ6eplZbKdfLJ1IPQZN84ktWtHv2ljxJ/+ZOKdVsF60lITER8degni3fxZuXKNHWuD8MknJgZbXMPVf/mLCe6/f8KonQYunKKQtGPLdE+2Y1xnnmmDReLWL2HD3PeHwqQ5kxySUiNGmCT0Rjauvdbu87DD7PAgLF1qRoqILGwYigatov2w1a27Y6GRbGiCWbwNfughE+/EEsaIVmk//XQjaRxYmkSijnJ4DyAR9dvIbBXaRSLZZGWzB84PQiBmJBrRTjY9zCcbMolgfEizeXMT36CBDWL+EKQuRYYH160z8T/7WcaBRKBboFKRLbKyrNQ7mxbKRdjzvWrVhF299ZZJoqKSRAG0t3jfTqqcM+O30p5ir9RjvjF**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**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
下图是我从数据手册中摘取的部分信息和本人理解的实际数据的地址空间映射图。请大家指点下我的理解是否正确?
为什么这么说呢,这个意图是什么
皮裤套棉裤,必定有缘故
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