Probability and Random Variables: A Review Mathematical Description of Random Signals Response of linear Systems to Random Inputs Wiener Filtering The Discrete Kalman Filter, State-Space Modeling, and Simulation

Digital Signal Processing

[Alan.V.Oppenheim].Discrete.Time.Signal.Processing.Solutions.Manual.2nd.Ed.[Prentice.Hall].1999

国外电子与通信教材，数字信号处理（第四版） Digital Signal Processing Principles, Algorithms, and Applications (Fourth Edition)

《统计与自适应信号处理》由Dimitris G. Manolakis、Vinay K. Ingle、Stephen M. Kogon著。本书介绍了统计与自适应信号处理的基本概念和应用，包括随机序列分析、谱估计以及自适应滤波等内容。《统计与自适应信号处理》可作为电子、通信、自动化、电机、生物医学和机械工程等专业研究生作为教材或教学参考书，也可作为广大工程技术人员的自学读本或参考用书。

DFT的matlab源代码信号工具 内容：傅里叶变换，小波变换，τp变换，希尔伯特-黄变换 时间：2019.3.09 关于离散傅里叶变换（DFT），逆变换（IDFT）和卷积（Matlab + Python）的程序 温馨提示： DFT需要读取外部.txt文件，并且.txt文件只有一个要求：每行的数据数一致 2D卷积只有一个要求：2D数据矩阵大小>卷积内核大小（边必须是奇数） 时间：2019.3.10 卷积（我自己） -convolution.m 例1：一维离散信号由DFT- cx1.m和cx1_sx.m处理 例2：通过DFT和IDFT处理另一个一维离散信号-cx2.m和cx2_sx.m 例3：对时域信号进行DFT，然后将其转换为频域信号。 然后对频域信号进行滤波-cx3.m和cx3_sx.m 信号的循环卷积-cyclic_convolution.m 二维DFT后的频幅图集中化-center_fft2.m 巴特沃斯低通滤波-origin_lowpass_fft2.m 时间：2019.03.23 2D卷积（由我自己完成），然后使用简单的2D矩阵-juanji1_2d.m和juanji2_2d

Discrete-Time Signal Processing 3rd edition (oppenheim) pdf document, about 70M size.

Understanding_Digital_Signal_Processing_2nd_ed

Fundamentals of Statistical Signal Processing 第一卷和第二卷 Estimation & Detection 中文版 很有价值的一本书 美国博士课程经典教材 小闻子专业推荐 必看好书

http://www.dspguide.com/pdfbook.htm FOUNDATIONS Chapter 1 - The Breadth and Depth of DSP The Roots of DSP Telecommunications Audio Processing Echo Location Image Processing Chapter 2 - Statistics, Probability and Noise Signal and Graph Terminology Mean and Standard Deviation Signal vs. Underlying Process The Histogram, Pmf and Pdf The Normal Distribution Digital Noise Generation Precision and Accuracy Chapter 3 - ADC and DAC Quantization The Sampling Theorem Digital-to-Analog Conversion Analog Filters for Data Conversion Selecting The Antialias Filter Multirate Data Conversion Single Bit Data Conversion Chapter 4 - DSP Software Computer Numbers Fixed Point (Integers) Floating Point (Real Numbers) Number Precision Execution Speed: Program Language Execution Speed: Hardware Execution Speed: Programming Tips FUNDAMENTALS Chapter 5 - Linear Systems Signals and Systems Requirements for Linearity Static Linearity and Sinusoidal Fidelity Examples of Linear and Nonlinear Systems Special Properties of Linearity Superposition: the Foundation of DSP Common Decompositions Alternatives to Linearity Chapter 6 - Convolution The Delta Function and Impulse Response Convolution The Input Side Algorithm The Output Side Algorithm The Sum of Weighted Inputs Chapter 7 - Properties of Convolution Common Impulse Responses Mathematical Properties Correlation Speed Chapter 8 - The Discrete Fourier Transform The Family of Fourier Transform Notation and Format of the Real DFT The Frequency Domain's Independent Variable DFT Basis Functions Synthesis, Calculating the Inverse DFT Analysis, Calculating the DFT Duality Polar Notation Polar Nuisances Chapter 9 - Applications of the DFT Spectral Analysis of Signals Frequency Response of Systems Convolution via the Frequency Domain Chapter 10 - Fourier Transform Properties Linearity of the Fourier Transform Characteristics of the Phase Periodic Nature of the DFT Compression and Expansion, Multirate methods Multiplying Signals (Amplitude Modulation)