DFT的matlab源代码变身 具有信号生成和绘图功能的离散傅立叶变换（DFT）实现。 DFT结果是根据实部和虚部生成并绘制的。 DFT的幅值和相位分量也会被计算和绘制。 信号生成产生具有指定参数的指定信号类型。 产生的信号也被标绘。 使用PLplot C库进行绘图。 信号生成功能： 正弦波产生 方波产生 斜波产生 脉冲信号产生 绘图助手功能 信号产生参数： 频率（赫兹） 相（度） 振幅 移位（对于非正弦曲线） 离散傅立叶变换（DFT）功能： DFT / IDFT计算 实部和虚部绘图 幅度和相位分量图 离散傅立叶变换（DFT）参数： 模式选择（DFT或IDFT） 输入数据点数（N） 输入信号数据（N点） DFT实部结果 DFT虚部结果 用法：./ main sigtype频率相位/偏移幅度sigtype：信号类型（0 =正弦波，1 =正方形，2 =斜坡，3 =脉冲） 频率：信号频率（Hz） 相位：正弦信号的相位（度） shift：非正弦信号的偏移幅度：信号幅度

快速傅立葉變換 英文介紹 但是很有歷史性

matlab开发-StockwellTransformSTransform。Stockwell变换给出信号的全时频或空频分解。

小波分析经典书籍，不二之选

Fourier transform theory is of central importance in a vast range of applications in physical science, engineering and applied mathematics. Providing a concise introduction to the theory and practice of Fourier transforms, this book is invaluable to students of physics, electrical and electronic engineering, and computer science. After a brief description of the basic ideas and theorems, the power of the technique is illustrated through applications in optics, spectroscopy, electronics and telecommunications. The rarely discussed but important field of multi-dimensional Fourier theory is covered, including a description of Computer Axial Tomography (CAT scanning). The book concludes by discussing digital methods, with particular attention to the Fast Fourier Transform and its implementation. This new edition has been revised to include new and interesting material, such as convolution with a sinusoid, coherence, the Michelson stellar interferometer and the van Cittert-Zernike theorem, Babinet's principle and dipole arrays.

支持下面四种变换相应的一维、二维、三维的变换 Discrete Cosine Transforms. Discrete Hartley Transforms. Discrete Sine Transforms. Discrete Fourier Transforms.

CS4495计算机视觉课程讲义，频域和傅里叶变换。

Introduction: radar electronic backscattering; radar signals; radar ambiguity function and matched filter; synthetic aperture radar imaging. Time-frequency transforms: linear transforms; bilinear transforms. Detection and extraction of signal noise: time-varying frequency filtering; SNR improvement in time-frequency domain; CFAR detection in joint time-frequency domain; signal extraction in joint time-frequency domain. Time-frequency analysis of radar range profiles: electromagnetic phenomenology embedded in backscattered data; time-frequency representation of range profiles; application of high-resolution time-frequency techniques to scattering data; extraction of dispersive scattering features from radar imagery using time-frequency processing. Time-frequency based image formation: radar imaging of moving targets; motion compensation; time-frequency based image formation; radar imaging of manoeuvring targets; radar imaging of multiple targets. Motion compensation in inverse synthetic aperture radar imaging using time-frequency techniques: motion compensation algorithms; time-frequency based motion compensation; motion compensation examples of simulated and measured data; presence of three-dimensional target motion. Synthetic aperture radar imaging of moving target: radar signatures of moving targets; effect of target motion on SAR imaging; detection and imaging of moving targets; SAR imaging of moving targets using time-frequency transforms. Time-frequency transform for analysis of micro-doppler phenomena: vibration induced micro-doppler; rotation induced micro-doppler; examples. Trends in time-frequency transforms for radar applications

Grabbit是Unity的创新和现代的Transform＆Level Design工具集。 凭借其强大的编辑器物理系统，它为您提供了一种独特的方式来提高您的关卡设计和世界建筑效率。 更高效地移动和组织场景，并节省工作时间。

这是关于傅里叶变换与小波的电子书，高清，最新版本，经典著作，英文版