數位影像處理─使用Matlab與 C++ / Python語言 (1版)

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【簡介】 數位影像處理技術相關應用涵蓋甚廣，例如工業視覺檢測、醫療影像診斷、遠端感測與地理資訊、衛星影像和航空影像的處理與分析、智慧型交通系統、安防與監控、行動裝置應用等。 　　本書編撰著重「實用」與「教學」的定位。為求讀者能實際運用書中知識，全書大量使用 Matlab 與 C++ / Python 語言的原始程式碼，且儘可能不倚賴工具箱來實現。 【目錄】 第1章 數位影像起源與發展 第2章 數位影像基礎理論與實作 第3章 影像之Matlab與OpenCV C++ / Python基礎實作 第4章 影像的像素變換 第5章 影像幾何轉換 第6章 影像空間域處理方法 第7章 影像頻率域處理方法 第8章 影像形態學處理 第9章 影像特徵處理 第10章 聚類演算法 第11章 影像融合技術 第12章 影像案例優化與快速應用 第13章 影像分類模型 第14章 影像目標檢測 附　錄 參考文獻

One Hundred Physics Visualizations Using Matlab (2版)

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【簡介】 This volume is now more than a decade old, and much has transpired since then. The MATLAB tools have evolved from scripts, to Apps and at present to Live code. The Live package is preferred because it combines text and equations with MATLAB code all in a single site. The results of that code, formerly shown separately, also appear in line and in this way the user can vary the parameters of the specific problem and explore immediately how the solutions vary in response. For this reason, the Live scheme is used exclusively in this edition. The physics landscape has also evolved in the last decade. The Nobel prize in 2006 rewarded the discovery of small perturbation in temperature, at the parts per million level of the extreme isotropy of the Cosmic Microwave Background (CMB). The basic isotropy is now thought to indicate a period of rapid expansion of the Universe, called "inflation". With those discoveries, there has been more emphasis on astrophysics and cosmology, which contributes to advances in physics over the last decade. These changes have been reflected in the problems which are explored in this volume. 【目錄】

Digital Signal Processing Using MATLAB:A Problem Solving Companion (4版)

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【簡介】 【目錄】 1. INTRODUCTION. 2. DISCRETE-TIME SIGNALS AND SYSTEMS. 3. THE DISCRETE-TIME FOURIER ANALYSIS. 4. THE z-TRANSFORM. 5. THE DISCRETE FOURIER TRANSFORM. 6. IMPLEMENTATION OF DISCRETE-TIME FILTERS. 7. FIR FILTER DESIGN. 8. IIR FILTER DESIGN. 9. SAMPLING RATE CONVERSION. 10. ROUND-OFF EFFECTS IN DIGITAL FILTERS. 11. APPLICATIONS IN ADAPTIVE FILTERING. 12. APPLICATIONS IN COMMUNICATIONS. *13. RANDOM PROCESSES. *14. LINEAR PREDICTION AND OPTIMUM LINEAR FILTERS. *15. ADAPTIVE FILTERS. ＊Chapter 13-15 are online chapters.