高頻交換式電源供應器原理與設計

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第一章　交換式電源供應器 第二章　電源輸入部份 第三章　電源轉換器的種類 第四章　轉換器功率電晶體的設計 第五章　高頻率的功率變壓器 第六章　電源輸出部份：整流器、電感器與電容器 第七章　轉換器穩壓器的控制電路 第八章　轉換式電源轉換器周邊附加電路與元件 第九章　轉換式電源供給器穩定度分析與設計 第十章　電磁與射頻干擾(EMI-RFI)的考慮 第十一章　電源供給器電氣安全標準

MACHINE LEARNING ALGORITHMS FOR SIGNAL AND IMAGE PROCESSING (1版)

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DESCRIPTION Machine Learning Algorithms for Signal and Image Processing Enables readers to understand the fundamental concepts of machine and deep learning techniques with interactive, real-life applications within signal and image processing Machine Learning Algorithms for Signal and Image Processing aids the reader in designing and developing real-world applications using advances in machine learning to aid and enhance speech signal processing, image processing, computer vision, biomedical signal processing, adaptive filtering, and text processing. It includes signal processing techniques applied for pre-processing, feature extraction, source separation, or data decompositions to achieve machine learning tasks. Written by well-qualified authors and contributed to by a team of experts within the field, the work covers a wide range of important topics, such as: Speech recognition, image reconstruction, object classification and detection, and text processing Healthcare monitoring, biomedical systems, and green energy How various machine and deep learning techniques can improve accuracy, precision rate recall rate, and processing time Real applications and examples, including smart sign language recognition, fake news detection in social media, structural damage prediction, and epileptic seizure detection Professionals within the field of signal and image processing seeking to adapt their work further will find immense value in this easy-to-understand yet extremely comprehensive reference work. It is also a worthy resource for students and researchers in related fields who are looking to thoroughly understand the historical and recent developments that have been made in the field.