MT6236 GSM GPRS EDGE Baseband Processor Data Sheet_v1.08。MT6236的基带芯片的文档。
2022-12-26 23:26:14 17.14MB MT6236文档
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1. System Overview The MT6218B is a highly integrated single chip solution for GSM/GPRS phone. Based on 32 -bit ARM7EJ-STM RISC processor, MT6218B features not only high performance GPRS Class 12 MODEM but is also designed with support for the wireless multi-media applications, such as advanced display engine, hardware JPEG decoder, synthesis audio with 64-tone polyphony, digital audio playback, Java acceleration, MMS and etc. Additionally, MT6218B provides varieties of advanced interfaces for functionality extensions, like 8-port external memory interface, 3-port 8-bit parallel interface, NAND Flash, IrDA, USB and MMC/SD/MS/MS Pro. The typical application can be shown as Figure 1.
2022-12-26 23:24:39 3.43MB MT6218B GSM/GPRS Baseband Processor
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1. System Overview The MT6205B is a highly integrated baseband processor optimized specially for multi-media enabled GSM terminal. Combining the 32-bit ARM7TDMITM RISC processor core, proprietary low-power digital signal processor, user interface, radio control, audio codec, baseband codec, and other GSM specific analog and digital hardware, the MT6205B completes the best single-chip solution for GSM phone with multi-media function. The typical application can be shown as Figure 1.
2022-12-26 23:23:19 2.74MB MT6205B GSM Baseband Processor
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data-vis-d3, "用D3实现数据可视化和"课程的代码示例 data-vis-d3下面是 "使用 D3的数据可视化和信息图图"Cairo和 Scott Murray 教授的课程示例,并通过美国UT奥斯汀的新闻中心提供。示例按模块分组,每个文件夹对应于课程的不同模块。其中一些示例是根据 Web
2022-12-26 12:57:47 364KB 开源
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HCIA-Big+Data+V3.0+培训文档.rar
2022-12-25 13:19:44 11.56MB HCIA big data
HCIA-Big+Data+V3.5+实验手册和培训文档.rar
2022-12-25 13:19:43 22.87MB HCIA bigdata
HCIP-Big+Data+Developer+V2.0+实验手册和培训文档.rar
2022-12-25 13:19:42 19.22MB HCIP bigdata Developer
HCIE-Big+Data-Data+Mining+V2.0+培训文档.rar
2022-12-25 13:19:42 13.27MB HCIE bigdata
本文实例为大家分享了python实现图片中文字分割的具体代码,供大家参考,具体内容如下 1、原始图片(包含数字): 结果图: 2、原始图片(包含文字): 结果图: 3、代码如下: import cv2 import numpy as np path = 'test.jpg' root = 'output\\' # 图像resize dsize = 36 img = cv2.imread(path) data = np.array(img) height = data.shape[0] width = data.shape[1] # 设置最小的文字像素高度 min_val = 10 s
2022-12-25 13:08:15 78KB data python python算法
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spring data JPA笔记资料,数据库技术
2022-12-24 18:16:57 2.29MB spring jpa 数据库
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